Content display method, device, equipment, computer-readable storage medium and product

Abstract

The disclosed embodiments provide a content display method, apparatus, device, computer-readable storage medium and product, the method comprising: displaying at least one recommended content for recommending media content, the publisher of the recommended content is associated with at least one content consumption feature tag, the content consumption feature tag is generated based on the publisher's historical consumption data for the media content; the content consumption feature tags correspond to different content consumption feature dimensions; based on the associated data corresponding to the recommended content, at least one target content consumption feature tag under at least one target content consumption feature dimension is determined; and at least one target content consumption feature tag is displayed in the recommended content. Thus, the user can more accurately locate the publisher with the same or similar consumption behavior through the target content consumption feature tag, view the media content recommended by the publisher, and improve the efficiency and accuracy of media content discovery.

Description

Technical Field

[0001] The embodiments of the present disclosure relate to the field of data processing technology, and in particular, to a content display method, device, equipment, computer-readable storage medium, and product. Background Art

[0002] As the hardware performance of terminal devices improves, more and more applications (Application, APP for short) are running on the terminal devices. For example, the first user can read and listen to books based on a preset book application, or the first user can browse videos in a video application. When the first user uses the application software to browse content, he often needs to discover more media content that is not currently browsed for browsing.

[0003] In the related art, in order to facilitate the first user to discover media content, interactive content with a preset theme can be published in the application software. The second user can recommend the media content he or she likes in the interactive content with the preset theme.

[0004] However, the second user who publishes the recommended content may have different consumption types for media content than the first user, so the media content recommended by the second user may not meet the needs of the first user, which results in the first user being unable to quickly and accurately discover media content. Summary of the invention

[0005] The embodiments of the present disclosure provide a content display method, apparatus, device, computer-readable storage medium and product, which are used to solve the technical problem that users cannot accurately and quickly mine media content based on recommended content published by publishers.

[0006] In a first aspect, an embodiment of the present disclosure provides a content display method, including:

[0007] Displaying at least one recommended content for recommending media content, wherein the publisher of the recommended content is associated with at least one content consumption characteristic tag, wherein the content consumption characteristic tag is generated based on historical consumption data of the publisher for the media content; and the content consumption characteristic tag corresponds to different content consumption characteristic dimensions;

[0008] Determining at least one target content consumption characteristic label under at least one target content consumption characteristic dimension based on the associated data corresponding to the recommended content;

[0009] The at least one target content consumption characteristic tag is displayed in the recommended content.

[0010] In a second aspect, an embodiment of the present disclosure provides a content display method, including:

[0011] Acquire recommended content to be published, wherein the recommended content to be published includes at least one media content to be recommended and recommendation data generated based on the at least one media content to be recommended;

[0012] Determining at least one content consumption characteristic tag associated with the user, wherein the content consumption characteristic tag is generated based on historical consumption data of the user for media content;

[0013] Determining at least one target content consumption feature label under at least one target content consumption feature dimension based on the recommended content and a publishing scenario associated with the recommended content;

[0014] The recommended content is published, and the recommended content carries the at least one target content consumption characteristic tag.

[0015] In a third aspect, an embodiment of the present disclosure provides a content display device, including:

[0016] A display module, configured to display at least one recommended content for recommending media content, wherein the publisher of the recommended content is associated with at least one content consumption characteristic tag, wherein the content consumption characteristic tag is generated based on the publisher's historical consumption data for the media content; and the content consumption characteristic tag corresponds to different content consumption characteristic dimensions;

[0017] A determination module, which determines at least one target content consumption characteristic label under at least one target content consumption characteristic dimension based on the associated data corresponding to the recommended content;

[0018] A processing module is used to display the at least one target content consumption characteristic tag in the recommended content.

[0019] In a fourth aspect, an embodiment of the present disclosure provides a content display device, including:

[0020] An acquisition module, configured to acquire recommended content to be published, wherein the recommended content to be published includes at least one media content to be recommended and recommendation data generated based on the at least one media content to be recommended;

[0021] A generating module, configured to determine at least one content consumption characteristic tag associated with a user, wherein the content consumption characteristic tag is generated based on historical consumption data of the user for media content;

[0022] A screening module, configured to determine at least one target content consumption feature label under at least one target content consumption feature dimension based on the recommended content and a publishing scenario associated with the recommended content;

[0023] The publishing module is used to publish the recommended content, and the recommended content carries the at least one target content consumption characteristic tag.

[0024] In a fifth aspect, an embodiment of the present disclosure provides an electronic device, including: a processor and a memory;

[0025] The memory stores computer-executable instructions;

[0026] The processor executes the computer-executable instructions stored in the memory, so that the at least one processor executes the content display method described in the first aspect and various possible designs of the first aspect or the second aspect and various possible designs of the second aspect.

[0027] In a sixth aspect, an embodiment of the present disclosure provides a computer-readable storage medium, in which computer execution instructions are stored. When a processor executes the computer execution instructions, the content display method described in the first aspect and various possible designs of the first aspect or the second aspect and various possible designs of the second aspect is implemented.

[0028] In a seventh aspect, an embodiment of the present disclosure provides a computer program product, including a computer program, which, when executed by a processor, implements the content display method described in the first aspect and various possible designs of the first aspect or the second aspect and various possible designs of the second aspect.

[0029] The content display method, apparatus, device, computer-readable storage medium and product provided in this embodiment can display the personalized label associated with the publisher and the recommendation scenario in the recommended content by determining at least one target content consumption feature label under at least one target content consumption feature dimension based on the associated data corresponding to the recommended content when displaying the recommended content for recommending media content, and displaying at least one target content consumption feature label in the recommended content. Users can more accurately locate publishers with the same or similar consumption behaviors through the target content consumption feature label, and view the media content recommended by the publisher, thereby improving the efficiency and accuracy of media content discovery. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to more clearly illustrate the embodiments of the present disclosure or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present disclosure. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0031] Figure 1 A flowchart of a content display method provided by an embodiment of the present disclosure;

[0032] Figure 2 A schematic diagram of a display interface provided in an embodiment of the present disclosure;

[0033] Figure 3 A flowchart of a content display method provided by another embodiment of the present disclosure;

[0034] Figure 4 A flowchart of a content display method provided by another embodiment of the present disclosure;

[0035] Figure 5 A flowchart of a content display method provided by another embodiment of the present disclosure;

[0036] Figure 6 A flowchart of a content display method provided by another embodiment of the present disclosure;

[0037] Figure 7 A flowchart of a content display method provided by an embodiment of the present disclosure;

[0038] Figure 8 A schematic diagram of the structure of a content display device provided in an embodiment of the present disclosure;

[0039] Fig. 9 A schematic diagram of the structure of a content display device provided in an embodiment of the present disclosure;

[0040] Fig.10 A schematic diagram of the structure of an electronic device provided in an embodiment of the present disclosure. DETAILED DESCRIPTION

[0041] In order to make the purpose, technical solution and advantages of the embodiments of the present disclosure clearer, the technical solution in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the drawings in the embodiments of the present disclosure. Obviously, the described embodiments are part of the embodiments of the present disclosure, not all of the embodiments. Based on the embodiments in the present disclosure, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present disclosure.

[0042] It is understandable that before using the technical solutions disclosed in the embodiments of the present disclosure, the types, scope of use, usage scenarios, etc. of the personal information involved in the present disclosure should be informed to the user and the user's authorization should be obtained in an appropriate manner in accordance with relevant laws and regulations.

[0043] For example, in response to receiving an active request from a user, a prompt message is sent to the user to clearly prompt the user that the operation requested to be performed will require obtaining and using the user's personal information. Thus, the user can autonomously choose whether to provide personal information to software or hardware such as an electronic device, application, server, or storage medium that performs the operation of the technical solution of the present disclosure according to the prompt message.

[0044] As an optional but non-limiting implementation, in response to receiving an active request from the user, the prompt information may be sent to the user in the form of a pop-up window, in which the prompt information may be presented in text form. In addition, the pop-up window may also carry a selection control for the user to choose "agree" or "disagree" to provide personal information to the electronic device.

[0045] It is understandable that the above notification and the process of obtaining user authorization are merely illustrative and do not constitute a limitation on the implementation of the present disclosure. Other methods that meet the relevant laws and regulations may also be applied to the implementation of the present disclosure.

[0046] In order to solve the technical problem that users cannot accurately and quickly mine media content based on recommended content published by publishers, the present disclosure provides a content display method, device, equipment, computer-readable storage medium and product.

[0047] It should be noted that the content display method, device, equipment, computer-readable storage medium and product provided by the present disclosure can be applied in any content recommendation scenario.

[0048] In order to facilitate communication between users and the discovery of more media content, publishers can publish recommended content in the target application. Taking the book application as an example, users can publish a topic "Seeking recommendations" for a certain type of book according to actual needs. When the publisher browses to the topic, he can recommend books that match the preset theme under the topic. In addition, users can also browse the recommended content published by the publisher under the topic.

[0049] However, different users have different browsing preferences and browsing styles for media content. Therefore, users cannot quickly and accurately locate their favorite media content based on the recommended content published by the publisher.

[0050] In the process of solving the above technical problems, the inventors found through research that in order to enable users to more intuitively understand the personalized consumption habits of the publisher who publishes media content recommendations, at least one target content consumption characteristic label associated with the user can be displayed in the display area associated with the user. For example, it can be displayed that the publisher is a fan of a certain type of books, or it can be displayed that the publisher has read or recommended the same books as the current user.

[0051] Optionally, in order to accurately determine the personalized consumption habits of publishers, historical consumption data of each publisher for media content in the target application may be determined, and content consumption feature tags associated with the publishers may be determined based on the historical consumption data.

[0052] Furthermore, the number of content consumption characteristic tags associated with the publisher may be multiple. Among them, multiple content consumption characteristic tags may correspond to different content consumption characteristic dimensions. In order to make the content consumption characteristic tags displayed in the recommended content more suitable for the current recommendation scenario, at least one target content consumption characteristic tag under at least one target content consumption characteristic dimension may be determined based on the associated data corresponding to the recommended content. At least one target content consumption characteristic tag is displayed in the recommended content.

[0053] Figure 1 A flow chart of a content display method provided by an embodiment of the present disclosure is shown in FIG. Figure 1 As shown, the method includes:

[0054] Step 101: display at least one recommended content for recommending media content, wherein the publisher of the recommended content is associated with at least one content consumption characteristic tag, wherein the content consumption characteristic tag is generated based on the publisher's historical consumption data for the media content, and the content consumption characteristic tag corresponds to different content consumption characteristic dimensions.

[0055] The execution subject of this embodiment is a content display device. The content display device can be coupled to a terminal device, so that it can determine and display at least one target content consumption feature tag associated with the publisher of the recommended content based on the trigger operation of the user on the terminal device. Alternatively, the content display device can also be coupled to a server that is communicatively connected to the terminal device. Thus, it can determine and display at least one target content consumption feature tag associated with the publisher of the recommended content based on the trigger operation of the user on the terminal device, and control the terminal device to display the recommended content.

[0056] In this embodiment, the user can browse the media content in the target application. For example, the user can read and listen to books in the book application. Or, the user can watch videos in the video software.

[0057] In the process of browsing media content, in order to facilitate users to discover richer and higher-quality media content, interactive content can also be published in the target application. For example, an interactive topic for finding books of a specific type can be published in the book application. Alternatively, a topic for recommending books can be published in the book application. The interactive content of the preset theme can be published by the user or by other publishers. Alternatively, the interactive content can also be officially published by the target application, which is not limited by the present disclosure.

[0058] After publishing the interactive content, the user can publish recommended content in the interactive content. Alternatively, the user can view the interactive content according to actual needs.

[0059] Optionally, the interactive content may correspond to an associated control. In response to a user triggering an associated control of a preset theme in a target application, at least one recommended content for recommending media content may be displayed, and the publisher of the recommended content is associated with at least one content consumption feature tag, which is generated based on the publisher's historical consumption data for the media content. The content consumption feature tags correspond to different content consumption feature dimensions.

[0060] For example, the content consumption characteristic label may be "TA has also recommended book A", "TA has also been following XX recently", "TA also likes to read XX article", "TA also gave a good review of "XX", etc.

[0061] Among them, the content consumption characteristic labels correspond to different content consumption characteristic dimensions. Among them, the content consumption characteristic dimensions include but are not limited to the author dimension associated with the media content, the recommended media content type dimension, the browsing years dimension for the media content, etc. Taking the content consumption characteristic dimension as the book media content type dimension as an example, the content consumption characteristic dimension can correspond to content consumption characteristic labels such as amateur white literature lovers, middle-aged and old amateur white literature lovers, strategy literature lovers, and romance literature lovers.

[0062] Optionally, the media content includes but is not limited to book media content, video media content, audio media content, etc., which is not limited in the present disclosure.

[0063] For example, an interactive topic for finding books of a specific type may be pre-published in a book application. The publisher may publish recommended content in the interactive content, wherein the recommended content may include recommended books selected by the publisher according to actual conditions, and recommendation data for the recommended books, the recommendation data including but not limited to recommended text, recommended images, etc. In order to enable users to view the publisher of the recommended content more intuitively, the recommended content also includes the publisher's identification information.

[0064] Step 102: Determine at least one target content consumption characteristic label under at least one target content consumption characteristic dimension based on the associated data corresponding to the recommended content.

[0065] In this embodiment, when a user browses at least one recommended content, in order to enable the user to more quickly and accurately discover the media content that he or she likes, the content consumption characteristic tags associated with the publisher can be displayed in the recommended content. Thus, when the user browses the recommended content, he or she can have a preliminary understanding of the browsing style of the publisher based on the content consumption characteristic tags, and can then discover media content more specifically based on the browsing style.

[0066] Optionally, since the number of content consumption characteristic tags associated with the publisher is at least one, in order to make the target content consumption characteristic tag displayed in the current recommended content more suitable for the current recommendation scenario, at least one target content consumption characteristic tag that better matches the current recommendation scenario can also be determined from at least one content consumption characteristic tag.

[0067] Furthermore, in order to implement the filtering operation of content consumption feature tags, the associated data corresponding to the recommended content can be obtained, wherein the associated data includes but is not limited to at least one media content associated with the recommended content, the recommended text / recommended image associated with the recommended content, the topic content associated with the recommended content, etc.

[0068] After obtaining the associated data corresponding to at least one recommended content, at least one target content consumption feature tag that better matches the current recommendation scenario can be determined from the at least one content consumption feature tag based on the associated data.

[0069] As an implementable manner, since the content consumption characteristic tags correspond to different content consumption characteristic dimensions, the target content consumption characteristic dimension can be determined based on the associated data, and at least one target content consumption characteristic tag can be further determined from at least one content consumption characteristic tag associated with the target content consumption characteristic dimension based on the associated data.

[0070] Step 103: Display the at least one target content consumption characteristic tag in the recommended content.

[0071] In this embodiment, after determining at least one target content consumption characteristic tag corresponding to the publisher, the at least one target content consumption characteristic tag may be displayed in the recommended content.

[0072] For example, in order to prevent at least one target content consumption characteristic label from blocking other recommended content, the target content consumption characteristic label can be displayed behind the publisher logo, or can be displayed below the publisher logo. The display size of the target content consumption characteristic label can be smaller than the display size of other content in the recommended content.

[0073] As an implementable method, the user can adjust the display parameters of the target content consumption characteristic label according to actual needs, wherein the display parameters include but are not limited to display position, display size, display color, etc.

[0074] Therefore, when a user browses recommended content in a content display page, the user can view the media content recommended by the publisher in a targeted manner based on at least one target content consumption characteristic tag of the publisher who published the recommended content.

[0075] For example, the target content consumption feature label associated with publisher A is "TA also recommended book A", which indicates that the publisher and the user have recommended the same book A in the past. Therefore, the publisher and the user have similar browsing preferences for books. The books recommended by the publisher may be more in line with the user's personalized needs.

[0076] Figure 2 A schematic diagram of a display interface provided by an embodiment of the present disclosure, such as Figure 2 As shown, at least one recommended content 21 can be displayed in the display interface, wherein the recommended content 21 includes publisher identification information 22, at least one media content to be recommended 23, and recommendation data 24, and the recommendation data 24 can be a recommendation text. At least one target content consumption feature label 25 is displayed in the display area associated with the publisher in the recommended content 21.

[0077] The content display method provided in this embodiment determines at least one target content consumption feature label under at least one target content consumption feature dimension based on the associated data corresponding to the recommended content when displaying the recommended content for recommending media content, and displays at least one target content consumption feature label in the recommended content, so that the personalized label associated with the publisher and the recommendation scenario can be displayed in the recommended content. Users can more accurately locate publishers with the same or similar consumption behaviors through the target content consumption feature label, and view the media content recommended by the publisher, thereby improving the efficiency and accuracy of media content discovery.

[0078] Figure 3 A flowchart of a content display method provided by another embodiment of the present disclosure is provided. Based on any of the above embodiments, Figure 3 As shown, step 102 includes:

[0079] Step 301: Determine feature information corresponding to the associated data.

[0080] Step 302: Determine at least one target content consumption characteristic label under at least one target content consumption characteristic dimension based on the characteristic information.

[0081] In this embodiment, in order to accurately determine at least one target content consumption feature tag based on the associated data, the feature information corresponding to the associated data may be determined first. The feature information corresponding to the associated data may be determined in any manner that can achieve feature extraction, and the present disclosure does not limit this. For example, a feature extraction operation on the associated data may be achieved through a preset feature extraction algorithm, or a keyword extraction operation may be performed on the associated information to determine the keyword as the feature information.

[0082] Further, after determining the characteristic information corresponding to the associated data, at least one target content consumption characteristic label under at least one target content consumption characteristic dimension can be determined based on the characteristic information. For example, the target content consumption characteristic label can be determined by calculating the similarity between the characteristic information and the content consumption characteristic label, or the target content consumption characteristic label can be determined by calculating the vector distance between the characteristic information and the content consumption characteristic label, etc., and the present disclosure does not limit this.

[0083] The content display method provided in this embodiment can determine the characteristic information corresponding to the associated data, and then accurately determine at least one target content consumption characteristic tag that matches the characteristic information in at least one content consumption characteristic tag based on the characteristic information, so that the target content consumption characteristic tag displayed in the recommended content is more suitable for the current recommendation scenario.

[0084] Optionally, based on any of the above embodiments, the associated data includes at least one media content to be recommended corresponding to the recommended content. Step 301 includes:

[0085] First parameter information associated with at least one media content is obtained, where the first parameter information includes basic information and historical interaction information corresponding to the at least one media content.

[0086] Based on the first parameter information, characteristic information associated with the at least one media content is determined, wherein the characteristic information includes category information, creator information, and content type information corresponding to the at least one media content.

[0087] In this embodiment, the associated data includes at least one media content to be recommended corresponding to the recommended content. Taking the media content as book media content as an example, the recommended content may include at least one book media content determined by the publisher. In order to make the target content consumption feature label more suitable for the currently released recommended content, feature information may be determined based on the at least one media content to be recommended.

[0088] Optionally, first parameter information associated with at least one media content may be obtained, the first parameter information including basic information corresponding to at least one media content and historical interaction information. Continuing with the above example, when the media content is book media content, the first parameter information includes but is not limited to the book name, book author information, book introduction, book category, readers' comments based on the book media content, readers' annotations of sentences in the book media content, published notes, etc., and the present disclosure does not impose any restrictions on this.

[0089] Furthermore, feature information associated with at least one media content may be determined based on the first parameter information, wherein the feature information includes category information, creator information, and content type information corresponding to at least one media content. For example, the author information, book category, and book writing style of the book media content may be extracted based on the first parameter information to obtain feature information.

[0090] The content display method provided in this embodiment performs a feature extraction operation based on at least one media content to be recommended corresponding to the recommended content, so that the determined at least one target content consumption feature label can be more closely matched to the at least one media content to be recommended, and the user can more accurately discover and browse the media content based on the at least one target content consumption feature label.

[0091] Optionally, based on any of the above embodiments, the associated data includes recommendation data in the recommended content, and the recommendation data includes recommended text and / or recommended image. Step 301 includes:

[0092] Identify text keywords in the recommended text, and / or identify image features corresponding to the recommended image.

[0093] The text keywords and / or the image content are determined as the feature information.

[0094] In this embodiment, the associated data may be recommendation data in the recommended content, and the recommendation data may include recommendation text and / or recommendation image. For example, taking the media content as book media content, the recommended content may include recommendation text and / or recommendation image generated by the publisher based on at least one book media content to be recommended.

[0095] Optionally, text keywords in the recommended text may be identified, and / or image features corresponding to the recommended image may be identified. The keyword recognition operation for the recommended text may be implemented in any manner that can implement keyword recognition. The feature extraction operation for the recommended image may be implemented in any manner that can implement image feature extraction, and the present disclosure does not limit this. The text keywords and / or image content are determined as feature information.

[0096] The content display method provided in this embodiment performs feature extraction based on the recommendation data corresponding to the recommended content, so that the determined at least one target content consumption feature label is more consistent with the recommendation data generated by the publisher, and can better reflect the personalized information corresponding to the recommended content. In addition, the user can more accurately discover and browse media content based on the at least one target content consumption feature label.

[0097] Optionally, based on any of the above embodiments, the associated data includes a target interactive topic associated with the at least one recommended content. Step 301 includes:

[0098] At least one keyword associated with the recommended content in the target interactive topic is determined.

[0099] The at least one keyword is determined as the feature information.

[0100] In this embodiment, the associated data includes a target interactive topic associated with the at least one recommended content.

[0101] Optionally, in the process of browsing media content, in order to facilitate users to discover richer and higher-quality media content, interactive content can also be published in the target application. For example, an interactive topic for finding books of a specific type can be published in a book application. The recommended content can be associated with a target interactive topic. For example, the target interactive topic can be "Please recommend strategy articles", "Recommend a few of my favorite palace fighting and house fighting books", "Recommend a 9.9-point book list", etc. The target interactive topic can include keywords associated with the recommended content, such as strategy articles, palace fighting and house fighting, 9.9 points, etc.

[0102] Furthermore, at least one keyword associated with the recommended content in the target interactive topic may be determined. The keyword recognition operation for the target interactive topic may be implemented in any manner capable of realizing keyword recognition. The at least one keyword is determined as the feature information.

[0103] The content display method provided in this embodiment performs feature extraction operations based on a target interactive topic associated with at least one recommended content, thereby enabling the determined at least one target content consumption feature label to fit the current content recommendation scenario, and improving the correlation between the at least one target content consumption feature label and the interactive topic, so that the user can browse recommended content that better fits the actual needs under the target interactive topic based on the at least one target content consumption feature label.

[0104] Further, based on any of the above embodiments, step 302 includes:

[0105] For each content consumption characteristic tag, similarity information between the content consumption characteristic tag and the characteristic information is determined.

[0106] At least one content consumption characteristic tag whose similarity information meets a preset condition is determined as the at least one target content consumption characteristic tag.

[0107] In this embodiment, after the characteristic information corresponding to the associated data is determined, at least one content consumption characteristic tag may be associated with at least one target content consumption characteristic tag of the characteristic information.

[0108] Optionally, the target content consumption feature label can be determined based on the similarity between the feature information and the content consumption feature label. For each content consumption feature label, the similarity information between the content consumption feature label and the feature information is determined. The similarity information between the content consumption feature label and the feature information can be calculated in any manner that can achieve similarity calculation. For example, text similarity can be calculated, or the content consumption feature label and the feature information can be vectorized respectively, and then the similarity calculation is achieved based on the distance between vectors, etc. The present disclosure does not limit this.

[0109] Furthermore, at least one content consumption feature tag whose similarity information meets the preset conditions can be determined as at least one target content consumption feature tag. For example, the content consumption feature tag with the highest similarity can be determined as the target content consumption feature tag. Alternatively, at least one content consumption feature tag whose similarity is greater than a preset threshold can be determined as at least one target content consumption feature tag. Alternatively, the user can also set the preset condition according to actual needs, and the present disclosure does not limit this.

[0110] The content display method provided in this embodiment determines the similarity information between the content consumption feature label and the feature information, so as to accurately determine at least one target content consumption feature label that is more suitable for the current recommendation scenario based on the similarity information, thereby improving the efficiency and accuracy of determining at least one target content consumption feature label.

[0111] Further, based on any of the above embodiments, step 302 includes:

[0112] A target content consumption characteristic dimension matching the at least part of the characteristic information is determined from among a plurality of content consumption characteristic dimensions based on the at least part of the characteristic information.

[0113] Based on the remaining feature information, at least one target content consumption feature tag that matches the remaining feature information is determined from the at least one content consumption feature tag corresponding to the target content consumption feature dimension.

[0114] In this embodiment, different content consumption feature tags correspond to different content consumption feature dimensions. Therefore, after determining the feature information, the content consumption feature dimension can be determined based on part of the feature information, and then at least one target content consumption feature tag can be determined from at least one content consumption feature tag corresponding to the content consumption feature dimension based on the remaining feature information.

[0115] Optionally, a target content consumption feature dimension matching the at least part of the feature information may be determined from among multiple content consumption feature dimensions based on the at least part of the feature information. At least one target content consumption feature tag matching the remaining feature information may be determined from among at least one content consumption feature tag corresponding to the target content consumption feature dimension based on the remaining feature information.

[0116] Among them, the user can adjust at least part of the feature information used for filtering the target content consumption feature dimension and the remaining feature information used for filtering at least one target content consumption feature tag according to actual needs, and the present disclosure does not impose any restrictions on this.

[0117] Taking the case where the media content to be recommended is book media content, for example, content consumption feature dimension screening can be performed based on the feature information of the target topic content associated with the recommended content. The target topic content can be books of different types that need to be shared. Therefore, the target content consumption feature dimension can be determined to be the favorite article type dimension based on the feature information. Furthermore, at least one target content consumption feature label can be determined from at least one content consumption feature label corresponding to the favorite article type dimension based on the feature information corresponding to at least one currently recommended book content. For example, the target content consumption feature label can be "He also likes to read strategy articles", "He is also a fan of amateur articles", etc.

[0118] The content display method provided in this embodiment pre-sets at least one content consumption characteristic dimension, so that it can first perform a preliminary screening operation on the content consumption characteristic tags based on the content consumption characteristic dimension, and then determine at least one target content consumption characteristic tag from at least one content consumption characteristic tag corresponding to the target content consumption characteristic dimension, thereby improving the accuracy of determining the target content consumption characteristic tag.

[0119] Optionally, based on any of the above embodiments, step 101 includes:

[0120] At least one interactive topic content is displayed on a preset interactive page.

[0121] In response to a user's triggering operation on any interactive topic content, a content display page associated with the interactive topic content is displayed.

[0122] The at least one recommended content related to the interactive topic content is displayed in the content display page.

[0123] In this embodiment, the target application may include a preset interactive page. Users and publishers may perform interactive operations in the interactive page. For example, users and / or publishers may publish interactive topic content in the interactive page, and the interactive topic content includes but is not limited to recommending a certain type of media content, requesting a certain type of media content to be recommended, and comment content published for a certain media content. The at least one interactive topic content may be displayed in the interactive page.

[0124] Furthermore, the user can perform a trigger operation on any interactive topic content in the interactive page, and in response to the trigger operation, a content display page associated with the interactive topic can be displayed. Furthermore, at least one recommended content associated with the interactive topic can be displayed in the content display page, so that the user can view the recommended content in the content display page.

[0125] Optionally, based on any of the above embodiments, step 101 includes:

[0126] At least one interactive topic content posted by the user in the past is displayed on a preset information page.

[0127] In response to a user's triggering operation on any interactive topic content, a content display page associated with the interactive topic content is displayed.

[0128] The at least one recommended content related to the interactive topic content is displayed in the content display page.

[0129] In this embodiment, the user can publish interactive topic content according to actual needs, and the user or publisher can publish recommended content in the interactive topic content. After publishing the interactive topic content, the user can also view the interactive topic content on the information page.

[0130] Optionally, at least one interactive topic content published by the user in history may be displayed in a preset information page. In response to a trigger operation of the user on any interactive topic content, a content display page associated with the interactive topic content may be displayed. At least one recommended content related to the interactive topic content may be displayed in the content display page.

[0131] Optionally, based on any of the above embodiments, step 101 includes:

[0132] A preset content recommendation list is displayed, wherein the content recommendation list includes at least one recommended topic.

[0133] In response to a user's triggering operation on any recommended topic, a content display page associated with the recommended topic is displayed.

[0134] The at least one recommended content related to the recommended topic is displayed in the content display page.

[0135] In this embodiment, a content recommendation list may be preset, and the content recommendation list may include at least one recommended topic. The user may view the content recommendation list through a preset trigger operation.

[0136] Optionally, a preset content recommendation list may be displayed, the content recommendation list includes at least one recommended topic, and users and / or publishers may publish recommended content under each recommended topic according to actual needs. When browsing the content recommendation list, users may view the recommended topics according to actual needs. In response to a user's triggering operation on any recommended topic, a content display page associated with the recommended topic is displayed. At least one recommended content related to the recommended topic is displayed on the content display page.

[0137] The content display method provided in this embodiment displays the topic content in at least one page of a preset interactive page, a preset information page, and a preset content recommendation list, so that the user can browse at least one recommended content more flexibly.

[0138] Figure 4 A flowchart of a content display method provided by another embodiment of the present disclosure is provided. Based on any of the above embodiments, Figure 4 As shown, after step 101, the following steps are further included:

[0139] Step 401: For each recommended content, obtain the historical consumption data of the publisher corresponding to the recommended content.

[0140] Step 402: determine the publisher's browsing data and interaction data for media content based on the historical consumption data, wherein the browsing data at least includes the browsing time corresponding to each media content, and the interaction data includes the comment content and / or recommendation content published by the publisher for the media content.

[0141] Step 403: Determine at least one content consumption characteristic tag associated with the publisher according to the browsing data and / or the interaction data.

[0142] In this embodiment, in order to determine the content consumption characteristic tags associated with the publisher, the publisher's historical consumption data corresponding to each recommended content can be obtained first, where the historical consumption data includes but is not limited to the publisher's browsing time for the media content, published comments, published recommended content, etc.

[0143] After obtaining the historical consumption data associated with the publisher, the publisher's browsing data and interaction data for multiple media contents can be determined based on the historical consumption data. The browsing data at least includes the browsing time corresponding to each media content. The interaction data includes the comment content and / or recommendation content published by the publisher for the media content. Furthermore, based on the browsing data and interaction data, the publisher's browsing preferences for different media contents and the publisher's browsing preferences for different categories of media contents can be determined.

[0144] Furthermore, after respectively determining the browsing data and the interaction data corresponding to the publisher, the content consumption characteristic tag associated with the publisher may be determined based on the browsing data and / or the interaction data.

[0145] As an implementable method, the publisher's browsing preferences for different media content can be determined based on the browsing data to determine the content consumption characteristic label associated with the publisher. Alternatively, the same or similar browsing behaviors between the publisher and the user currently browsing the recommended content can be determined based on the browsing data and the behavior data, and the content consumption characteristic label associated with the publisher can be determined based on the browsing behaviors. The present disclosure does not limit this.

[0146] The content display method provided in this embodiment obtains the historical consumption data of the publisher corresponding to the recommended content, and determines the publisher's browsing data and interaction data for the media content based on the historical consumption data, so as to determine at least one content consumption feature tag associated with the publisher based on the browsing data and / or interaction data. The content consumption feature tag can accurately characterize the publisher's browsing characteristics for the media content, and then after displaying the content consumption feature tag, the user can view the recommended content published by the publisher in a targeted manner based on the content consumption feature tag.

[0147] Further, based on any of the above embodiments, step 403 includes:

[0148] Acquire user-related consumption data for media content, wherein the user is a user who browses at least one recommended content.

[0149] The relevant browsing behaviors between the user and the publisher are determined based on the associated consumption data and the browsing data and / or the interaction data.

[0150] At least one content consumption characteristic tag associated with the publisher is determined based on the relevant browsing behavior.

[0151] In this embodiment, the user may have browsed the same media content as the publisher in the past, or the user and the publisher may both like the same type of media content. In this case, it can be determined that the user and the publisher have the same preference for media content, so the media content recommended by the publisher may be more in line with the user's personalized needs.

[0152] Optionally, associated consumption data of a user for media content may be determined, wherein the user is a user who is currently browsing at least one recommended content.

[0153] The associated consumption data and historical consumption data are obtained after obtaining full authorization from the user and publisher. For example, an authorization prompt message may pop up on the user and publisher's display page, and after obtaining the user and publisher's instructions to confirm the authorization, the associated consumption data and historical consumption data are obtained.

[0154] Furthermore, the related browsing behaviors between the user and the publisher can be determined based on the associated consumption data and the browsing data and / or the interaction data. The related browsing behaviors can be the same or similar browsing behaviors of the user and the publisher for browsing media content. For example, the related browsing behaviors can be the same media content browsed by the user and the publisher. The determination of the related browsing data can be achieved by calculating the intersection between the associated consumption data and the browsing data. Therefore, after determining the related browsing behaviors, the content consumption feature tags associated with the publisher can be accurately determined based on the related browsing behaviors.

[0155] As an implementable method, the user may have browsed the same media content with the publisher in the past. When the user and the publisher have browsed the same media content, it indicates that the user and the publisher are both interested in similar media content, so the media content recommended by the publisher may be more in line with the user's personalized needs. Determine whether the user and the publisher have browsed the same target media content in the past based on the associated consumption data and the browsing data. If the target media content exists, the user's first browsing parameter for the target media content can be determined, and the publisher's second browsing parameter for the target media content can be determined. Among them, the first browsing parameter can be the user's browsing progress or viewing time for the target media content within a preset time range. The second browsing parameter can be the publisher's browsing progress or viewing time for the target media content within a preset time range, or the publisher collects the media content. If the first browsing parameter and the second browsing parameter meet the preset screening conditions, the browsing behavior for the target media content is determined as the relevant browsing behavior. The preset screening condition can be that the browsing progress of the user and the publisher for the target media content is greater than the preset progress threshold and the viewing time is greater than the preset time. Alternatively, the screening conditions corresponding to the user and the publisher may be different. Among them, the preset screening condition can be set by the user according to actual needs, or it can be a system default, and the present disclosure does not limit this. Taking the target media content as a target book for example, if the user's cumulative listening and reading time for the target book in the past 14 days is greater than or equal to 30 minutes, or the cumulative reading progress is greater than 50% of the whole book, and the publisher's cumulative listening and reading time for the target book in the past 14 days is greater than 10 minutes, and the browsing progress is greater than 50%. Then it is determined that the user and the publisher are chasing the same book recently. Optionally, in order to achieve the determination of the content consumption feature label, the first label text can be pre-set. The first label text is the label text corresponding to the scene in which the user and the publisher recently browsed the same media content. Among them, the first label text can be "TA is also chasing XX recently." After determining that the user and the publisher have browsed the same target media content in history, the first label text can be adjusted based on the target media content to obtain a content consumption feature label. For example, the first label text can be adjusted to "TA is also chasing the target media content recently."

[0156] As an implementable method, the user and the publisher may both like the same type of media content. It can be determined that the user and the publisher have the same preference for media content, so the media content recommended by the publisher may be more in line with the user's personalized needs. Optionally, at least one media content type that the user and the publisher have browsed can be determined based on the associated consumption data and browsing data. Among them, multiple media content types that the user has browsed in history and multiple media content types that the publisher has browsed in history can be counted. The intersection between the two is used as at least one media content type that the user and the publisher have browsed. Further, at least one media content type can be sorted according to a preset sorting method and the browsing time of the user for the media content to obtain the sorted media content type. Among them, at least one media content type can be sorted in order from long to short browsing time. At least one media content type ranked higher than a preset ranking threshold in the sorted media content types is determined as a related browsing behavior. For example, the ranking threshold can be 2, that is, the media content type with the longest browsing time can be determined as the current target media content type. Optionally, a second label text can be pre-set. The second label text is a label text corresponding to a scenario in which the user and the publisher like to browse media content of the same media content type. The second label text may be "TA also likes to read XX articles". After determining that the user and the publisher have browsed the same target media type in the past, the second label text may be adjusted based on the target media type to obtain a content consumption feature label. For example, the second label text may be adjusted to "TA also likes to read rebirth articles".

[0157] As an implementable method, the user may have published evaluation information for the same media content with the publisher in the past. It indicates that the user and the publisher are interested in the same media content in the past, and their browsing preferences for the media content may be similar. Optionally, at least one media content historically evaluated by the publisher is determined based on the interactive data, and at least one media content historically evaluated by the user is determined based on the associated consumption data. At least one target media content evaluated by both the user and the publisher is determined. Among them, the intersection between the at least one media content historically evaluated by the publisher and the at least one media content historically evaluated by the user can be calculated to determine the at least one media content. Based on the identification information corresponding to the at least one target media content, the preset third label text is adjusted to obtain a content consumption feature label. Among them, the third label text can be a label text corresponding to the scene where the user and the publisher have historically evaluated the same target media content. It can be "TA also praised "XX"". After determining the target book historically evaluated by the user and the publisher, the fourth label text can be adjusted to "TA also praised "Target Media Content"". Optionally, when the user and the publisher have historically evaluated multiple identical media contents, the rating information of each media content can be determined, and the media content with the highest rating can be determined as the current target media content.

[0158] As an implementable method, when a user or publisher browses media content in a target application, a recommendation operation can be performed on the desired media content according to actual needs. If a user and a publisher publish a favorable comment on the same media content at the same time, it indicates that the browsing preferences of the user and the publisher for the media content overlap. Therefore, the media content recommended by the publisher may be more in line with the personalized needs of the user. Optionally, after respectively obtaining the associated consumption data and the interactive data associated with the publisher, at least one recommended media content recommended by the publisher in history can be determined based on the interactive data, and at least one recommended media content recommended by the user in history can be determined based on the associated consumption data. The intersection between at least one recommended media content recommended by the publisher in history and at least one recommended media content recommended by the user in history is calculated to determine at least one target media content recommended by both the user and the publisher. Based on the identification information corresponding to at least one target media content, an adjustment operation is performed on the preset fourth label text to obtain a content consumption feature label. Among them, the fourth label text can be a label text corresponding to the same media content scenario recommended by the user and the publisher. For example, the fourth label text can be "TA also recommended XX". After determining at least one target media content that has been recommended by both the user and the publisher based on historical consumption data, the fourth label text can be adjusted to "TA also recommended the target media content" to obtain a content consumption characteristic label associated with the publisher. Optionally, when the user and the publisher have historically recommended multiple identical media contents, the rating information of each media content can be determined, and the media content with the highest rating can be determined as the current target media content. Accordingly, when the user browses the recommended content in the content display page associated with the preset theme, the browsing preferences of the publisher can be understood based on the content consumption characteristic label, and the media content recommended by the publisher can be browsed in a targeted manner.

[0159] The content display method provided in this embodiment can determine the associated consumption data corresponding to the user, thereby determining the associated browsing data between the user and the publisher who published the recommended content based on the associated consumption data and the browsing data and / or the interaction data. Furthermore, it can accurately determine at least one content consumption feature label associated with the publisher based on the associated browsing data. The content consumption feature label can characterize the same or similar browsing style of the user and the publisher in the media content browsing operation.

[0160] Further, based on any of the above embodiments, step 403 includes:

[0161] Browsing characteristic information of the publisher for media content is determined based on the browsing data, wherein the browsing characteristic information includes at least one media content category whose browsing time of the publisher reaches a preset time threshold and the publisher's historical browsing years.

[0162] At least one content consumption characteristic tag associated with the publisher is determined based on the browsing characteristic information.

[0163] In this example, after determining the browsing data associated with the publisher, the browsing characteristic information of the publisher for the media content can be determined based on the browsing data, wherein the browsing characteristic information includes at least one media content category whose browsing time of the publisher reaches a preset time threshold and the publisher's historical browsing years. At least one content consumption characteristic tag associated with the publisher is determined based on the browsing characteristic information.

[0164] As an practicable method, when there is no intersection in the historical browsing media content of the user and the publisher, the browsing preference of the publisher for the media content can also be determined, and the content consumption characteristic label corresponding to the publisher can be determined based on the browsing preference. Optionally, after the browsing data corresponding to the publisher is obtained, since each media content can be associated with a preset type label. Therefore, at least one media content type of each media content historically browsed by the publisher and the historical browsing time corresponding to each media content type can be determined according to the browsing data. Among them, at least one media content corresponding to each media content type can be determined in the historical consumption data, and the browsing time of at least one media content is accumulated to obtain the historical browsing time corresponding to each media content type. Further, at least one media content type is sorted according to the preset sorting method and the historical browsing time of each media content type to obtain at least one sorted media content type. For example, at least one media content type can be sorted in the order of historical browsing time from high to low. Determine at least one media content type whose ranking is higher than a preset ranking threshold in the at least one sorted media content type. Among them, the ranking threshold can be 2, that is, the media content type with the longest historical browsing time can be determined as the current target media content type. Based on at least one media content type, the preset fifth label text is adjusted to obtain a content consumption feature label. The fifth label text may be a label text corresponding to the media content type scene that the publisher has browsed most in history. It may be "XX article fanatic". After determining the target media content type, the fifth label text may be adjusted to "strategy article fanatic".

[0165] The content display method provided in this embodiment determines the browsing feature information of the publisher for the media content based on the browsing data, and determines at least one content consumption feature tag associated with the publisher based on the browsing feature information, so that when the user browses the recommended content, the user can understand the browsing preferences of the publisher, and then the user can view the media content recommended by the publisher in a targeted manner according to the browsing preferences of the publisher.

[0166] Figure 5A flowchart of a content display method provided by another embodiment of the present disclosure is provided. Based on any of the above embodiments, Figure 5 As shown, the method also includes:

[0167] Step 501: display at least one recommended content for recommending book media content, wherein the publisher of the recommended content is associated with at least one content consumption characteristic tag related to browsing behavior of the book media content.

[0168] Step 502: Determine at least one target content consumption characteristic label under at least one target content consumption characteristic dimension based on recommendation association information associated with each recommended content, wherein the recommendation association information includes at least one book to be recommended in the recommended content, recommendation data generated by the publisher based on the at least one book to be recommended, and one or more interactive topics associated with the at least one recommended content.

[0169] Step 503: Display the at least one target content consumption characteristic tag in the display area associated with the recommended content, so that the user can view the recommended content based on the at least one target content consumption characteristic tag.

[0170] In this embodiment, the media content to be recommended may be book media content. The publisher may generate and publish recommendation content for at least one book media content of interest according to actual needs, so as to implement a recommendation operation for at least one book media content.

[0171] Optionally, the user can browse the recommended content to achieve the discovery and browsing of richer book media content. At least one recommended content for recommending book media content is displayed, and the publisher of the recommended content is associated with at least one content consumption feature tag related to the browsing behavior of book media content. For example, the content consumption tag can be "TA is also reading book A", "TA is also a fan of strategy literature", etc.

[0172] In the process of a user browsing at least one recommended content, in order to enable the user to more quickly and accurately discover the desired book media content, the content consumption characteristic tags associated with the publisher can be displayed in the recommended content. Thus, when the user browses the recommended content, he or she can have a preliminary understanding of the publisher's browsing style based on the content consumption characteristic tags, and then can more specifically discover book media content based on the browsing style.

[0173] Optionally, since the number of content consumption characteristic tags associated with the publisher is at least one, in order to make the target content consumption characteristic tag displayed in the current recommended content more suitable for the current recommendation scenario, at least one target content consumption characteristic tag that better matches the current recommendation scenario can also be determined from at least one content consumption characteristic tag.

[0174] Optionally, the content consumption characteristic label corresponds to different content consumption characteristic dimensions. The content consumption characteristic dimension includes, but is not limited to, the author dimension associated with the media content, the recommended media content type dimension, the browsing years dimension for the media content, etc. For example, taking the content consumption characteristic dimension as the book media content type dimension, the content consumption characteristic dimension may correspond to content consumption characteristic labels such as amateur white literature lovers, middle-aged and old amateur white literature lovers, strategy literature lovers, and romance literature lovers.

[0175] Since content consumption characteristic tags correspond to different content consumption characteristic dimensions, the target content consumption characteristic dimension can be determined based on the associated data, and at least one target content consumption characteristic tag can be further determined from at least one content consumption characteristic tag associated with the target content consumption characteristic dimension based on the associated data.

[0176] At least one target content consumption characteristic tag is displayed in a display area associated with the recommended content, so that the user can view the recommended content based on the at least one target content consumption characteristic tag.

[0177] The content display method provided in this embodiment determines at least one target content consumption feature label under at least one target content consumption feature dimension based on the associated data corresponding to the recommended content when displaying at least one recommended content for recommending book media content, and displays at least one target content consumption feature label in the recommended content, so that the personalized label associated with the publisher and the recommendation scenario can be displayed in the recommended content. Users can more accurately locate publishers with the same or similar consumption behaviors through the target content consumption feature label, and view the book media content recommended by the publisher, thereby improving the efficiency and accuracy of discovering book media content.

[0178] Figure 6 A flowchart of a content display method provided by another embodiment of the present disclosure is provided. Based on any of the above embodiments, Figure 6 As shown, the method also includes:

[0179] Step 601: display at least one recommended content for recommending video media content, wherein the publisher of the recommended content is associated with at least one content consumption characteristic tag related to browsing behavior of the video media content.

[0180] Step 602: determine at least one target content consumption characteristic label under at least one target content consumption characteristic dimension based on the recommendation association information associated with each recommended content, wherein the recommendation association information includes at least one video to be recommended in the recommended content, the recommendation data generated by the publisher based on the at least one video to be recommended, and one or more of the interactive topics associated with the at least one recommended content.

[0181] Step 603: Display the at least one target content consumption characteristic tag in a display area associated with the recommended content, so that the user can view the recommended content based on the at least one target content consumption characteristic tag.

[0182] In this embodiment, the media content to be recommended may be video media content. The publisher may generate and publish recommendation content for at least one video media content of interest according to actual needs, so as to implement a recommendation operation for at least one video media content.

[0183] Optionally, the user can browse the recommended content to achieve the discovery and browsing of richer video media content. At least one recommended content for recommending video media content is displayed, and the publisher of the recommended content is associated with at least one content consumption feature tag related to the browsing behavior of the video media content. For example, the content consumption tag can be "TA is also watching video A", "TA is also a fan of palace fighting dramas", etc.

[0184] In the process of a user browsing at least one recommended content, in order to enable the user to more quickly and accurately discover the video media content that the user likes, the content consumption characteristic tags associated with the publisher can be displayed in the recommended content. Therefore, when the user browses the recommended content, he or she can have a preliminary understanding of the browsing style of the publisher based on the content consumption characteristic tags, and then can more specifically discover video media content based on the browsing style.

[0185] Optionally, since the number of content consumption characteristic tags associated with the publisher is at least one, in order to make the target content consumption characteristic tag displayed in the current recommended content more suitable for the current recommendation scenario, at least one target content consumption characteristic tag that better matches the current recommendation scenario can also be determined from at least one content consumption characteristic tag.

[0186] Optionally, the content consumption characteristic label corresponds to different content consumption characteristic dimensions. The content consumption characteristic dimension includes, but is not limited to, the author dimension associated with the media content, the recommended media content type dimension, the browsing years dimension for the media content, etc. For example, taking the video media content type dimension as the content consumption characteristic dimension, the content consumption characteristic dimension may correspond to content consumption characteristic labels such as amateur white literature lovers, middle-aged and old amateur white literature lovers, strategy literature lovers, and romance literature lovers.

[0187] Since content consumption characteristic tags correspond to different content consumption characteristic dimensions, the target content consumption characteristic dimension can be determined based on the associated data, and at least one target content consumption characteristic tag can be further determined from at least one content consumption characteristic tag associated with the target content consumption characteristic dimension based on the associated data.

[0188] At least one target content consumption characteristic tag is displayed in a display area associated with the recommended content, so that the user can view the recommended content based on the at least one target content consumption characteristic tag.

[0189] The content display method provided in this embodiment determines at least one target content consumption feature label under at least one target content consumption feature dimension based on the associated data corresponding to the recommended content when displaying at least one recommended content for recommending video media content, and displays at least one target content consumption feature label in the recommended content, so that the personalized label associated with the publisher and the recommendation scene can be displayed in the recommended content. Users can more accurately locate publishers with the same or similar consumption behaviors through the target content consumption feature label, and view the video media content recommended by the publisher, thereby improving the efficiency and accuracy of video media content discovery.

[0190] Figure 7 A flow chart of a content display method provided by an embodiment of the present disclosure is shown in FIG. Figure 7 As shown, the method also includes:

[0191] Step 701: Acquire recommended content to be published, wherein the recommended content to be published includes at least one media content to be recommended and recommendation data generated based on the at least one media content to be recommended.

[0192] Step 702: Determine at least one content consumption characteristic tag associated with the user, wherein the content consumption characteristic tag is generated based on historical consumption data of the user for media content.

[0193] Step 703: Determine at least one target content consumption feature label under at least one target content consumption feature dimension based on the recommended content and the publishing scenario associated with the recommended content.

[0194] Step 704: Publish the recommended content, and carry the at least one target content consumption characteristic tag in the recommended content.

[0195] The execution subject of this embodiment is a content display device. The content display device can be coupled to a server, and the server can be connected to a terminal device for communication, so that at least one target content consumption feature tag under at least one target content consumption feature dimension can be determined based on a recommended content publishing operation triggered by a user on the terminal device, and the at least one target content consumption feature tag is carried when publishing the recommended content.

[0196] In this embodiment, the user can publish recommended content according to actual needs to implement a recommendation operation on media content.

[0197] Optionally, the recommended content to be published may be obtained, wherein the recommended content to be published includes at least one media content to be recommended and recommendation data generated based on the at least one media content to be recommended. For example, the recommended content may include at least one recommended book determined by the user, and recommendation text and recommended images generated by the user for each recommended book.

[0198] Furthermore, in order to enable viewers of the recommended content to more quickly and accurately discover media content based on the recommended content, content consumption feature tags that can characterize the user's personalized consumption behavior may be carried in the recommended content.

[0199] Therefore, historical consumption data associated with the user may be obtained, and at least one content consumption feature tag associated with the user may be determined based on the historical consumption data.

[0200] Furthermore, the publishing scenario associated with the recommended content may be determined, wherein the publishing scenario of the recommended content includes but is not limited to publishing the interactive topic content of the recommended content, publishing the recommendation list of the recommended content, etc. Further, at least one target content consumption feature tag may be determined from at least one content consumption feature tag associated with the user based on the recommended content and the publishing scenario associated with the recommended content.

[0201] As an implementable manner, the content consumption feature tag may be associated with different content consumption feature dimensions. After respectively determining the recommended content and the publishing scenario associated with the recommended content, the current target content consumption feature dimension may be determined based on the recommended content and the publishing scenario associated with the recommended content. In at least one content consumption feature tag associated with the target content consumption feature dimension, at least one target content consumption feature tag is further determined based on the recommended content and the publishing scenario associated with the recommended content.

[0202] After respectively acquiring the recommended content and at least one target content consumption characteristic tag, the recommended content may be published in response to a publishing operation triggered by the user, and the at least one target content consumption characteristic tag may be carried in the recommended content.

[0203] The content display method provided in this embodiment determines at least one target content consumption characteristic tag under at least one target content consumption characteristic dimension based on the recommended content and the publishing scenario associated with the recommended content when the user generates the recommended content, so that when the recommended content is published, the at least one target content consumption characteristic tag can be carried. Therefore, after the recommended content is published, other users can view the recommended content published by the user in a targeted manner based on the at least one target content consumption characteristic tag corresponding to the user.

[0204] Figure 8 A schematic diagram of the structure of a content display device provided in an embodiment of the present disclosure, such as Figure 8 As shown, the device includes: a display module 81, a determination module 82 and a processing module 83. The display module 81 is used to display at least one recommended content for recommending media content, and the publisher of the recommended content is associated with at least one content consumption feature label, and the content consumption feature label is generated based on the publisher's historical consumption data for the media content. The content consumption feature labels correspond to different content consumption feature dimensions. The determination module 82 determines at least one target content consumption feature label under at least one target content consumption feature dimension based on the associated data corresponding to the recommended content. The processing module 83 is used to display the at least one target content consumption feature label in the recommended content.

[0205] Further, based on any of the above embodiments, the determination module is used to: determine feature information corresponding to the associated data, and determine at least one target content consumption feature label under at least one target content consumption feature dimension based on the feature information.

[0206] Further, based on any of the above embodiments, the associated data includes at least one media content to be recommended corresponding to the recommended content. The determination module is used to: obtain first parameter information associated with at least one media content, wherein the first parameter information includes basic information and historical interaction information corresponding to at least one media content. Based on the first parameter information, feature information associated with the at least one media content is determined, wherein the feature information includes category information, creator information, and content type information corresponding to the at least one media content.

[0207] Further, based on any of the above embodiments, the associated data includes recommendation data in the recommended content, and the recommendation data includes recommended text and / or recommended images. The determination module is used to: identify text keywords in the recommended text, and / or identify image features corresponding to the recommended image. The text keywords and / or the image content are determined as the feature information.

[0208] Further, based on any of the above embodiments, the associated data includes a target interactive topic associated with the at least one recommended content. The determination module is configured to: determine at least one keyword associated with the recommended content in the target interactive topic, and determine the at least one keyword as the feature information.

[0209] Further, based on any of the above embodiments, the determination module is used to: determine, for each content consumption characteristic tag, similarity information between the content consumption characteristic tag and the characteristic information, and determine at least one content consumption characteristic tag whose similarity information meets a preset condition as the at least one target content consumption characteristic tag.

[0210] Further, based on any of the above embodiments, the determination module is used to: determine a target content consumption feature dimension that matches the at least part of the feature information from among multiple content consumption feature dimensions based on the at least part of the feature information. Based on the remaining feature information, determine at least one target content consumption feature tag that matches the remaining feature information from among at least one content consumption feature tag corresponding to the target content consumption feature dimension.

[0211] Further, based on any of the above embodiments, the display module is used to: display at least one interactive topic content on a preset interactive page. In response to a user's triggering operation on any interactive topic content, display a content display page associated with the interactive topic content. Display the at least one recommended content related to the interactive topic content on the content display page.

[0212] Further, based on any of the above embodiments, the display module is used to: display at least one interactive topic content posted by the user in the past in a preset information page. In response to a trigger operation of the user on any interactive topic content, display a content display page associated with the interactive topic content. Display the at least one recommended content related to the interactive topic content in the content display page.

[0213] Further, based on any of the above embodiments, the display module is used to: display a preset content recommendation list, wherein the content recommendation list includes at least one recommended topic. In response to a user's triggering operation on any recommended topic, display a content display page associated with the recommended topic. Display the at least one recommended content related to the recommended topic on the content display page.

[0214] Further, based on any of the above embodiments, the device further includes: a data acquisition module, for acquiring historical consumption data of the publisher corresponding to each recommended content. A determination module, for determining browsing data and interaction data of the publisher for media content based on the historical consumption data, wherein the browsing data at least includes browsing time corresponding to each media content, and the interaction data includes commentary content and / or recommended content published by the publisher for the media content. A processing module, for determining at least one content consumption feature tag associated with the publisher based on the browsing data and / or the interaction data.

[0215] Further, based on any of the above embodiments, the processing module is used to: obtain user-related consumption data for media content, wherein the user is a user who browses at least one recommended content. Determine related browsing behaviors between the user and the publisher based on the related consumption data and the browsing data and / or the interactive data. Determine at least one content consumption feature tag associated with the publisher based on the related browsing behaviors.

[0216] Further, based on any of the above embodiments, the processing module is used to: determine browsing characteristic information of the publisher for media content based on the browsing data, wherein the browsing characteristic information includes at least one media content category whose browsing time of the publisher reaches a preset time threshold and the publisher's historical browsing years. Determine at least one content consumption characteristic tag associated with the publisher based on the browsing characteristic information.

[0217] Further, on the basis of any of the above embodiments, the device also includes: a display module, which is used to display at least one recommended content for recommending book media content, and the publisher of the recommended content is associated with at least one content consumption characteristic label related to the browsing behavior of book media content. A determination module, which is used to determine at least one target content consumption characteristic label under at least one target content consumption characteristic dimension based on the recommendation association information associated with each recommended content, wherein the recommendation association information includes at least one to-be-recommended book in the recommended content, the recommendation data generated by the publisher based on the at least one to-be-recommended book, and one or more of the interactive topics associated with the at least one recommended content. A processing module, which is used to display the at least one target content consumption characteristic label in the display area associated with the recommended content, so that the user can view the recommended content based on the at least one target content consumption characteristic label.

[0218] Further, based on any of the above embodiments, the method further includes: a display module for displaying at least one recommended content for recommending video media content, wherein the publisher of the recommended content is associated with at least one content consumption characteristic tag related to the browsing behavior of the video media content. A determination module for determining at least one target content consumption characteristic tag under at least one target content consumption characteristic dimension based on the recommendation association information associated with each recommended content, wherein the recommendation association information includes at least one video to be recommended in the recommended content, the recommendation data generated by the publisher based on the at least one video to be recommended, and one or more of the interactive topics associated with the at least one recommended content. A processing module for displaying the at least one target content consumption characteristic tag in the display area associated with the recommended content, so that the user can view the recommended content based on the at least one target content consumption characteristic tag.

[0219] Fig. 9 A schematic diagram of the structure of a content display device provided in an embodiment of the present disclosure, such as Fig. 9 As shown, the device includes: an acquisition module 91, a generation module 92, a screening module 93 and a publishing module 94. Among them, the acquisition module 91 is used to obtain recommended content to be published, and the recommended content to be published includes at least one media content to be recommended and recommendation data generated based on the at least one media content to be recommended. The generation module 92 is used to determine at least one content consumption characteristic label associated with the user, wherein the content consumption characteristic label is generated based on the user's historical consumption data for media content. The screening module 93 is used to determine at least one target content consumption characteristic label under at least one target content consumption characteristic dimension based on the recommended content and the publishing scenario associated with the recommended content. The publishing module 94 is used to publish the recommended content, and the at least one target content consumption characteristic label is carried in the recommended content.

[0220] The device provided in this embodiment can be used to execute the technical solution of the above method embodiment. Its implementation principle and technical effect are similar, and this embodiment will not be repeated here.

[0221] In order to implement the above embodiments, the embodiments of the present disclosure further provide a computer-readable storage medium, in which computer-executable instructions are stored. When a processor executes the computer-executable instructions, the content display method described in any of the above embodiments is implemented.

[0222] In order to implement the above embodiments, the embodiments of the present disclosure further provide a computer program product, including a computer program, and when the computer program is executed by a processor, the content display method as described in any of the above embodiments is implemented.

[0223] In order to implement the above embodiment, the present disclosure also provides an electronic device, including: a processor and a memory;

[0224] The memory stores computer-executable instructions;

[0225] The processor executes the computer-executable instructions stored in the memory, so that the processor executes the content display method as described in any of the above embodiments.

[0226] Fig.10 The electronic device 1000 is a schematic diagram of the structure of an electronic device provided in an embodiment of the present disclosure, and the electronic device 1000 may be a terminal device or a server. The terminal device may include but is not limited to mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, personal digital assistants (PDAs), tablet computers (Portable Android Devices, PADs), portable multimedia players (Portable Media Players, PMPs), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Fig.10 The electronic device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present disclosure.

[0227] like Fig.10 As shown, the electronic device 1000 may include a processing device (e.g., a central processing unit, a graphics processing unit, etc.) 1001, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 1002 or a program loaded from a storage device 1008 to a random access memory (RAM) 1003. Various programs and data required for the operation of the electronic device 1000 are also stored in the RAM 1003. The processing device 1001, the ROM 1002, and the RAM 1003 are connected to each other via a bus 1004. An input / output (I / O) interface 1005 is also connected to the bus 1004.

[0228] Typically, the following devices may be connected to the I / O interface 1005: input devices 1006 including, for example, a touch screen, a touch pad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; output devices 1007 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; storage devices 1008 including, for example, a magnetic tape, a hard disk, etc.; and communication devices 1009. The communication device 1009 may allow the electronic device 1000 to communicate with other devices wirelessly or by wire to exchange data. Although Fig.10 The electronic device 1000 is shown with various devices, but it should be understood that it is not required to implement or possess all the devices shown. More or fewer devices may be implemented or possessed instead.

[0229] In particular, according to an embodiment of the present disclosure, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present disclosure includes a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program contains program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device 1009, or installed from a storage device 1008, or installed from a ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment of the present disclosure are executed.

[0230] It should be noted that the computer-readable medium disclosed above may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present disclosure, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in combination with an instruction execution system, device or device. In the present disclosure, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, in which a computer-readable program code is carried. This propagated data signal may take a variety of forms, including but not limited to an electromagnetic signal, an optical signal, or any suitable combination of the above. The computer readable signal medium may also be any computer readable medium other than a computer readable storage medium, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. The program code contained on the computer readable medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0231] The computer-readable medium may be included in the electronic device, or may exist independently without being incorporated into the electronic device.

[0232] The computer-readable medium carries one or more programs. When the one or more programs are executed by the electronic device, the electronic device executes the method shown in the above embodiment.

[0233] Computer program code for performing the operations of the present disclosure may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages, such as Java, Smalltalk, C++, and conventional procedural programming languages, such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as an independent software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0234] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present disclosure. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some implementations as replacements, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0235] The units involved in the embodiments described in the present disclosure may be implemented by software or hardware. The name of a unit does not limit the unit itself in some cases. For example, the first acquisition unit may also be described as a "unit for acquiring at least two Internet Protocol addresses".

[0236] The functions described above herein may be performed at least in part by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), complex programmable logic devices (CPLDs), and the like.

[0237] In the context of the present disclosure, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or equipment, or any suitable combination of the foregoing. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0238] In a first aspect, according to one or more embodiments of the present disclosure, a content display method is provided, including:

[0239] Displaying at least one recommended content for recommending media content, wherein the publisher of the recommended content is associated with at least one content consumption characteristic tag, wherein the content consumption characteristic tag is generated based on historical consumption data of the publisher for the media content; and the content consumption characteristic tag corresponds to different content consumption characteristic dimensions;

[0240] Determining at least one target content consumption characteristic label under at least one target content consumption characteristic dimension based on the associated data corresponding to the recommended content;

[0241] The at least one target content consumption characteristic tag is displayed in the recommended content.

[0242] According to one or more embodiments of the present disclosure, determining at least one target content consumption feature label under at least one target content consumption feature dimension based on the associated data corresponding to the recommended content includes:

[0243] Determining feature information corresponding to the associated data;

[0244] At least one target content consumption characteristic label under at least one target content consumption characteristic dimension is determined based on the characteristic information.

[0245] According to one or more embodiments of the present disclosure, the associated data includes at least one media content to be recommended corresponding to the recommended content;

[0246] The determining the characteristic information corresponding to the associated data includes:

[0247] Acquire first parameter information associated with at least one media content, where the first parameter information includes basic information and historical interaction information corresponding to the at least one media content;

[0248] Based on the first parameter information, characteristic information associated with the at least one media content is determined, wherein the characteristic information includes category information, creator information, and content type information corresponding to the at least one media content.

[0249] According to one or more embodiments of the present disclosure, the associated data includes recommendation data in the recommended content, and the recommendation data includes recommendation text and / or recommendation image;

[0250] The determining the characteristic information corresponding to the associated data includes:

[0251] Identifying text keywords in the recommended text, and / or identifying image features corresponding to the recommended image;

[0252] The text keywords and / or the image content are determined as the feature information.

[0253] According to one or more embodiments of the present disclosure, the associated data includes a target interactive topic associated with the at least one recommended content;

[0254] The determining the characteristic information corresponding to the associated data includes:

[0255] Determining at least one keyword associated with the recommended content in the target interactive topic;

[0256] The at least one keyword is determined as the feature information.

[0257] According to one or more embodiments of the present disclosure, the determining, based on the feature information, at least one target content consumption feature label under at least one target content consumption feature dimension includes:

[0258] For each content consumption characteristic tag, determining similarity information between the content consumption characteristic tag and the characteristic information;

[0259] At least one content consumption characteristic tag whose similarity information meets a preset condition is determined as the at least one target content consumption characteristic tag.

[0260] According to one or more embodiments of the present disclosure, the determining, based on the feature information, at least one target content consumption feature label under at least one target content consumption feature dimension includes:

[0261] Determining, based on the at least a portion of the feature information, a target content consumption feature dimension that matches the at least a portion of the feature information from among a plurality of content consumption feature dimensions;

[0262] Based on the remaining feature information, at least one target content consumption feature tag that matches the remaining feature information is determined from the at least one content consumption feature tag corresponding to the target content consumption feature dimension.

[0263] According to one or more embodiments of the present disclosure, presenting at least one recommended content for recommending media content includes:

[0264] Display at least one interactive topic content on a preset interactive page;

[0265] In response to a user's triggering operation on any interactive topic content, display a content display page associated with the interactive topic content;

[0266] The at least one recommended content related to the interactive topic content is displayed in the content display page.

[0267] According to one or more embodiments of the present disclosure, presenting at least one recommended content for recommending media content includes:

[0268] Display at least one interactive topic content posted by the user in the past on a preset information page;

[0269] In response to a user's triggering operation on any interactive topic content, display a content display page associated with the interactive topic content;

[0270] The at least one recommended content related to the interactive topic content is displayed in the content display page.

[0271] According to one or more embodiments of the present disclosure, presenting at least one recommended content for recommending media content includes:

[0272] Displaying a preset content recommendation list, wherein the content recommendation list includes at least one recommended topic;

[0273] In response to a user's triggering operation on any recommended topic, display a content display page associated with the recommended topic;

[0274] The at least one recommended content related to the recommended topic is displayed in the content display page.

[0275] According to one or more embodiments of the present disclosure, after presenting at least one recommended content for recommending media content, the method further includes:

[0276] For each recommended content, obtaining historical consumption data of the publisher corresponding to the recommended content;

[0277] Determine browsing data and interaction data of the publisher for the media content based on the historical consumption data, wherein the browsing data at least includes browsing time corresponding to each media content, and the interaction data includes comment content and / or recommendation content published by the publisher for the media content;

[0278] At least one content consumption characteristic tag associated with the publisher is determined based on the browsing data and / or the interaction data.

[0279] According to one or more embodiments of the present disclosure, determining at least one content consumption characteristic tag associated with the publisher according to the browsing data and / or the interaction data includes:

[0280] Acquiring user-related consumption data for media content, wherein the user is a user who browses at least one recommended content;

[0281] Determine the relevant browsing behavior between the user and the publisher based on the associated consumption data and the browsing data and / or the interaction data;

[0282] At least one content consumption characteristic tag associated with the publisher is determined based on the relevant browsing behavior.

[0283] According to one or more embodiments of the present disclosure, determining at least one content consumption characteristic tag associated with the publisher according to the browsing data and / or the interaction data includes:

[0284] Determine browsing characteristic information of the publisher for the media content based on the browsing data, wherein the browsing characteristic information includes at least one media content category whose browsing time of the publisher reaches a preset time threshold and the publisher's historical browsing years;

[0285] At least one content consumption characteristic tag associated with the publisher is determined based on the browsing characteristic information.

[0286] According to one or more embodiments of the present disclosure, the method further includes:

[0287] Displaying at least one recommended content for recommending book media content, wherein the publisher of the recommended content is associated with at least one content consumption characteristic tag related to browsing behavior of the book media content;

[0288] Determining at least one target content consumption characteristic label under at least one target content consumption characteristic dimension based on recommendation association information associated with each recommended content, wherein the recommendation association information includes one or more of at least one book to be recommended in the recommended content, recommendation data generated by the publisher based on the at least one book to be recommended, and an interactive topic associated with the at least one recommended content;

[0289] The at least one target content consumption characteristic tag is displayed in a display area associated with the recommended content, so that a user can view the recommended content based on the at least one target content consumption characteristic tag.

[0290] According to one or more embodiments of the present disclosure, the method further includes:

[0291] Displaying at least one recommended content for recommending video media content, wherein the publisher of the recommended content is associated with at least one content consumption characteristic tag related to browsing behavior of the video media content;

[0292] Determining at least one target content consumption feature label under at least one target content consumption feature dimension based on recommendation association information associated with each recommended content, wherein the recommendation association information includes one or more of at least one video to be recommended in the recommended content, recommendation data generated by the publisher based on the at least one video to be recommended, and an interactive topic associated with the at least one recommended content;

[0293] The at least one target content consumption characteristic tag is displayed in a display area associated with the recommended content, so that a user can view the recommended content based on the at least one target content consumption characteristic tag.

[0294] In a second aspect, according to one or more embodiments of the present disclosure, a content display method is provided, including:

[0295] Acquire recommended content to be published, wherein the recommended content to be published includes at least one media content to be recommended and recommendation data generated based on the at least one media content to be recommended;

[0296] Determining at least one content consumption characteristic tag associated with the user, wherein the content consumption characteristic tag is generated based on historical consumption data of the user for media content;

[0297] Determining at least one target content consumption feature label under at least one target content consumption feature dimension based on the recommended content and a publishing scenario associated with the recommended content;

[0298] The recommended content is published, and the recommended content carries the at least one target content consumption characteristic tag.

[0299] In a second aspect, according to one or more embodiments of the present disclosure, there is provided a content display device, including:

[0300] A display module, configured to display at least one recommended content for recommending media content, wherein the publisher of the recommended content is associated with at least one content consumption characteristic tag, wherein the content consumption characteristic tag is generated based on the publisher's historical consumption data for the media content; and the content consumption characteristic tag corresponds to different content consumption characteristic dimensions;

[0301] A determination module, which determines at least one target content consumption characteristic label under at least one target content consumption characteristic dimension based on the associated data corresponding to the recommended content;

[0302] A processing module is used to display the at least one target content consumption characteristic tag in the recommended content.

[0303] According to one or more embodiments of the present disclosure, the determining module is used to:

[0304] Determining feature information corresponding to the associated data;

[0305] At least one target content consumption characteristic label under at least one target content consumption characteristic dimension is determined based on the characteristic information.

[0306] According to one or more embodiments of the present disclosure, the associated data includes at least one media content to be recommended corresponding to the recommended content;

[0307] The determining module is used to:

[0308] Acquire first parameter information associated with at least one media content, where the first parameter information includes basic information and historical interaction information corresponding to the at least one media content;

[0309] Based on the first parameter information, characteristic information associated with the at least one media content is determined, wherein the characteristic information includes category information, creator information, and content type information corresponding to the at least one media content.

[0310] According to one or more embodiments of the present disclosure, the associated data includes recommendation data in the recommended content, and the recommendation data includes recommendation text and / or recommendation image;

[0311] The determining module is used to:

[0312] Identifying text keywords in the recommended text, and / or identifying image features corresponding to the recommended image;

[0313] The text keywords and / or the image content are determined as the feature information.

[0314] According to one or more embodiments of the present disclosure, the associated data includes a target interactive topic associated with the at least one recommended content;

[0315] The determining module is used to:

[0316] Determining at least one keyword associated with the recommended content in the target interactive topic;

[0317] The at least one keyword is determined as the feature information.

[0318] According to one or more embodiments of the present disclosure, the determining module is used to:

[0319] For each content consumption characteristic tag, determining similarity information between the content consumption characteristic tag and the characteristic information;

[0320] At least one content consumption characteristic tag whose similarity information meets a preset condition is determined as the at least one target content consumption characteristic tag.

[0321] According to one or more embodiments of the present disclosure,

[0322] The determining module is used to:

[0323] Determining, based on the at least a portion of the feature information, a target content consumption feature dimension that matches the at least a portion of the feature information from among a plurality of content consumption feature dimensions;

[0324] Based on the remaining feature information, at least one target content consumption feature tag that matches the remaining feature information is determined from the at least one content consumption feature tag corresponding to the target content consumption feature dimension.

[0325] According to one or more embodiments of the present disclosure, the display module is used to:

[0326] Display at least one interactive topic content on a preset interactive page;

[0327] In response to a user's triggering operation on any interactive topic content, display a content display page associated with the interactive topic content;

[0328] The at least one recommended content related to the interactive topic content is displayed in the content display page.

[0329] According to one or more embodiments of the present disclosure, the display module is used to:

[0330] Display at least one interactive topic content posted by the user in the past on a preset information page;

[0331] In response to a user's triggering operation on any interactive topic content, display a content display page associated with the interactive topic content;

[0332] The at least one recommended content related to the interactive topic content is displayed in the content display page.

[0333] According to one or more embodiments of the present disclosure, the display module is used to:

[0334] Displaying a preset content recommendation list, wherein the content recommendation list includes at least one recommended topic;

[0335] In response to a user's triggering operation on any recommended topic, display a content display page associated with the recommended topic;

[0336] The at least one recommended content related to the recommended topic is displayed in the content display page.

[0337] According to one or more embodiments of the present disclosure, the device further includes:

[0338] A data acquisition module, used to acquire, for each recommended content, the historical consumption data of the publisher corresponding to the recommended content;

[0339] A determination module, configured to determine browsing data and interaction data of the publisher for media content based on the historical consumption data, wherein the browsing data at least includes browsing time corresponding to each media content, and the interaction data includes comment content and / or recommendation content published by the publisher for the media content;

[0340] A processing module is used to determine at least one content consumption characteristic tag associated with the publisher based on the browsing data and / or the interaction data.

[0341] According to one or more embodiments of the present disclosure, the processing module is used to:

[0342] Acquiring user-related consumption data for media content, wherein the user is a user who browses at least one recommended content;

[0343] Determine the relevant browsing behavior between the user and the publisher based on the associated consumption data and the browsing data and / or the interaction data;

[0344] At least one content consumption characteristic tag associated with the publisher is determined based on the relevant browsing behavior.

[0345] According to one or more embodiments of the present disclosure, the processing module is used to:

[0346] Determine browsing characteristic information of the publisher for the media content based on the browsing data, wherein the browsing characteristic information includes at least one media content category whose browsing time of the publisher reaches a preset time threshold and the publisher's historical browsing years;

[0347] At least one content consumption characteristic tag associated with the publisher is determined based on the browsing characteristic information.

[0348] According to one or more embodiments of the present disclosure, the device further includes:

[0349] A display module, used for displaying at least one recommended content for recommending book media content, wherein the publisher of the recommended content is associated with at least one content consumption characteristic tag related to browsing behavior of the book media content;

[0350] A determination module, configured to determine at least one target content consumption characteristic label under at least one target content consumption characteristic dimension based on recommendation association information associated with each recommended content, wherein the recommendation association information includes one or more of at least one book to be recommended in the recommended content, recommendation data generated by the publisher based on the at least one book to be recommended, and an interactive topic associated with the at least one recommended content;

[0351] The processing module is used to display the at least one target content consumption characteristic tag in the display area associated with the recommended content, so that the user can view the recommended content based on the at least one target content consumption characteristic tag.

[0352] According to one or more embodiments of the present disclosure, the method further includes:

[0353] A display module, used to display at least one recommended content for recommending video media content, wherein the publisher of the recommended content is associated with at least one content consumption characteristic tag related to the browsing behavior of the video media content;

[0354] A determination module, configured to determine at least one target content consumption characteristic label under at least one target content consumption characteristic dimension based on recommendation association information associated with each recommended content, wherein the recommendation association information includes one or more of at least one video to be recommended in the recommended content, recommendation data generated by the publisher based on the at least one video to be recommended, and an interactive topic associated with the at least one recommended content;

[0355] The processing module is used to display the at least one target content consumption characteristic tag in the display area associated with the recommended content, so that the user can view the recommended content based on the at least one target content consumption characteristic tag.

[0356] In a fourth aspect, according to one or more embodiments of the present disclosure, a content display device is provided, including:

[0357] An acquisition module, configured to acquire recommended content to be published, wherein the recommended content to be published includes at least one media content to be recommended and recommendation data generated based on the at least one media content to be recommended;

[0358] A generating module, configured to determine at least one content consumption characteristic tag associated with a user, wherein the content consumption characteristic tag is generated based on historical consumption data of the user for media content;

[0359] A screening module, configured to determine at least one target content consumption feature label under at least one target content consumption feature dimension based on the recommended content and a publishing scenario associated with the recommended content;

[0360] The publishing module is used to publish the recommended content, and the recommended content carries the at least one target content consumption characteristic tag.

[0361] In a fifth aspect, according to one or more embodiments of the present disclosure, there is provided an electronic device, comprising: at least one processor and a memory;

[0362] The memory stores computer-executable instructions;

[0363] The at least one processor executes the computer-executable instructions stored in the memory, so that the at least one processor executes the content display method described in the first aspect and various possible designs of the first aspect.

[0364] In a sixth aspect, according to one or more embodiments of the present disclosure, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer execution instructions. When a processor executes the computer execution instructions, the content display method described in the first aspect and various possible designs of the first aspect is implemented.

[0365] In a seventh aspect, according to one or more embodiments of the present disclosure, a computer program product is provided, including a computer program, which, when executed by a processor, implements the content display method described in the first aspect and various possible designs of the first aspect.

[0366] The above description is only a preferred embodiment of the present disclosure and an explanation of the technical principles used. Those skilled in the art should understand that the scope of disclosure involved in the present disclosure is not limited to the technical solutions formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above disclosed concept. For example, the above features are replaced with the technical features with similar functions disclosed in the present disclosure (but not limited to) by each other to form a technical solution.

[0367] In addition, although each operation is described in a specific order, this should not be understood as requiring these operations to be performed in the specific order shown or in a sequential order. Under certain circumstances, multitasking and parallel processing may be advantageous. Similarly, although some specific implementation details are included in the above discussion, these should not be interpreted as limiting the scope of the present disclosure. Some features described in the context of a separate embodiment can also be implemented in a single embodiment in combination. On the contrary, the various features described in the context of a single embodiment can also be implemented in multiple embodiments individually or in any suitable sub-combination mode.

[0368] Although the subject matter has been described in language specific to structural features and / or methodological logical actions, it should be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or actions described above. On the contrary, the specific features and actions described above are merely example forms of implementing the claims.

Claims

1. A content display method, characterized in that: include: Displaying at least one recommended content for recommending media content published by a publisher in a topic page, wherein the publisher of the recommended content is associated with at least one content consumption characteristic tag, wherein the content consumption characteristic tag is generated based on historical consumption data of the publisher for the media content; and the content consumption characteristic tag corresponds to different content consumption characteristic dimensions; Determining at least one target content consumption characteristic label under at least one target content consumption characteristic dimension based on the associated data corresponding to the recommended content; Displaying the at least one target content consumption characteristic tag in the recommended content; The determining, based on the associated data corresponding to the recommended content, at least one target content consumption characteristic label under at least one target content consumption characteristic dimension includes: Determining feature information corresponding to the associated data; At least one target content consumption feature label matching the current recommendation scenario under at least one target content consumption feature dimension is determined based on the feature information.

2. The method according to claim 1, characterized in that The associated data includes at least one media content to be recommended corresponding to the recommended content; The determining the characteristic information corresponding to the associated data includes: Acquire first parameter information associated with at least one media content, where the first parameter information includes basic information and historical interaction information corresponding to the at least one media content; Based on the first parameter information, characteristic information associated with the at least one media content is determined, wherein the characteristic information includes category information, creator information, and content type information corresponding to the at least one media content.

3. The method according to claim 1, characterized in that The associated data includes recommendation data in the recommended content, and the recommendation data includes recommendation text and / or recommendation image; The determining the characteristic information corresponding to the associated data includes: Identifying text keywords in the recommended text, and / or identifying image features corresponding to the recommended image; The text keywords and / or the image features are determined as the feature information.

4. The method according to claim 1, characterized in that: The associated data includes a target interactive topic associated with the at least one recommended content; The determining the characteristic information corresponding to the associated data includes: Determining at least one keyword associated with the recommended content in the target interactive topic; The at least one keyword is determined as the feature information.

5. The method according to claim 1, characterized in that: The determining, based on the feature information, at least one target content consumption feature label under at least one target content consumption feature dimension comprises: For each content consumption characteristic tag, determining similarity information between the content consumption characteristic tag and the characteristic information; At least one content consumption characteristic tag whose similarity information meets a preset condition is determined as the at least one target content consumption characteristic tag.

6. The method according to claim 1, characterized in that The determining, based on the feature information, at least one target content consumption feature label under at least one target content consumption feature dimension comprises: Determining, based on at least part of the feature information, a target content consumption feature dimension that matches the at least part of the feature information from among a plurality of content consumption feature dimensions; Based on the remaining feature information, at least one target content consumption feature tag that matches the remaining feature information is determined from the at least one content consumption feature tag corresponding to the target content consumption feature dimension.

7. The method according to any one of claims 1 to 6, characterized in that: The presenting of at least one recommended content for recommending media content includes: Display at least one interactive topic content on a preset interactive page; In response to a user's triggering operation on any interactive topic content, display a content display page associated with the interactive topic content; The at least one recommended content related to the interactive topic content is displayed in the content display page.

8. The method according to any one of claims 1 to 6, characterized in that: The presenting of at least one recommended content for recommending media content includes: Display at least one interactive topic content posted by the user in the past on a preset information page; In response to a user's triggering operation on any interactive topic content, display a content display page associated with the interactive topic content; The at least one recommended content related to the interactive topic content is displayed in the content display page.

9. The method according to any one of claims 1 to 6, characterized in that: The presenting of at least one recommended content for recommending media content includes: Displaying a preset content recommendation list, wherein the content recommendation list includes at least one recommended topic; In response to a user's triggering operation on any recommended topic, display a content display page associated with the recommended topic; The at least one recommended content related to the recommended topic is displayed in the content display page.

10. The method according to any one of claims 1 to 6, characterized in that: After presenting at least one recommended content for recommending media content, the method further includes: For each recommended content, obtaining historical consumption data of the publisher corresponding to the recommended content; Determine browsing data and interaction data of the publisher for the media content based on the historical consumption data, wherein the browsing data at least includes browsing time corresponding to each media content, and the interaction data includes comment content and / or recommendation content published by the publisher for the media content; At least one content consumption characteristic tag associated with the publisher is determined based on the browsing data and / or the interaction data.

11. The method according to claim 10, characterized in that The determining, according to the browsing data and / or the interaction data, at least one content consumption characteristic tag associated with the publisher comprises: Acquiring user-related consumption data for media content, wherein the user is a user who browses at least one recommended content; Determine the relevant browsing behavior between the user and the publisher based on the associated consumption data and the browsing data and / or the interaction data; At least one content consumption characteristic tag associated with the publisher is determined based on the relevant browsing behavior.

12. The method according to claim 10, characterized in that The determining, according to the browsing data and / or the interaction data, at least one content consumption characteristic tag associated with the publisher comprises: Determine browsing characteristic information of the publisher for the media content based on the browsing data, wherein the browsing characteristic information includes at least one media content category whose browsing time of the publisher reaches a preset time threshold and the publisher's historical browsing years; At least one content consumption characteristic tag associated with the publisher is determined based on the browsing characteristic information.

13. The method according to any one of claims 1 to 6, characterized in that: The method further comprises: Displaying at least one recommended content for recommending book media content, wherein the publisher of the recommended content is associated with at least one content consumption characteristic tag related to browsing behavior of the book media content; Determining at least one target content consumption characteristic label under at least one target content consumption characteristic dimension based on recommendation association information associated with each recommended content, wherein the recommendation association information includes one or more of at least one book to be recommended in the recommended content, recommendation data generated by the publisher based on the at least one book to be recommended, and an interactive topic associated with the at least one recommended content; The at least one target content consumption characteristic tag is displayed in a display area associated with the recommended content, so that a user can view the recommended content based on the at least one target content consumption characteristic tag.

14. The method according to any one of claims 1 to 6, characterized in that: The method further comprises: Displaying at least one recommended content for recommending video media content, wherein the publisher of the recommended content is associated with at least one content consumption characteristic tag related to browsing behavior of the video media content; Determining at least one target content consumption feature label under at least one target content consumption feature dimension based on recommendation association information associated with each recommended content, wherein the recommendation association information includes one or more of at least one video to be recommended in the recommended content, recommendation data generated by the publisher based on the at least one video to be recommended, and an interactive topic associated with the at least one recommended content; The at least one target content consumption characteristic tag is displayed in a display area associated with the recommended content, so that a user can view the recommended content based on the at least one target content consumption characteristic tag.

15. A content display method, characterized in that: include: Acquire the recommended content to be published by the publisher in the topic page, wherein the recommended content to be published includes at least one media content to be recommended and recommendation data generated based on the at least one media content to be recommended; Determining at least one content consumption characteristic tag associated with the user, wherein the content consumption characteristic tag is generated based on historical consumption data of the user for media content; Determining at least one target content consumption feature label under at least one target content consumption feature dimension based on the recommended content and a publishing scenario associated with the recommended content; The recommended content is published, and the recommended content carries the at least one target content consumption characteristic tag.

16. A content display device, characterized in that: include: A display module, used to display at least one recommended content for recommending media content published by a publisher in a topic page, wherein the publisher of the recommended content is associated with at least one content consumption characteristic tag, wherein the content consumption characteristic tag is generated based on historical consumption data of the publisher for the media content; and the content consumption characteristic tag corresponds to different content consumption characteristic dimensions; A determination module, configured to determine feature information corresponding to the associated data; and determine, based on the feature information, at least one target content consumption feature label matching the current recommendation scenario under at least one target content consumption feature dimension; A processing module is used to display the at least one target content consumption characteristic tag in the recommended content.

17. A content display device, characterized in that: include: An acquisition module, used to acquire recommended content to be published by a publisher in a topic page, wherein the recommended content to be published includes at least one media content to be recommended and recommendation data generated based on the at least one media content to be recommended; A generating module, configured to determine at least one content consumption characteristic tag associated with a user, wherein the content consumption characteristic tag is generated based on historical consumption data of the user for media content; A screening module, configured to determine at least one target content consumption feature label under at least one target content consumption feature dimension based on the recommended content and a publishing scenario associated with the recommended content; The publishing module is used to publish the recommended content, and the recommended content carries the at least one target content consumption characteristic tag.

18. An electronic device, characterized in that: include: Processor and memory; The memory stores computer-executable instructions; The processor executes the computer-executable instructions stored in the memory, so that the processor executes the content display method as described in any one of claims 1 to 14 or 15.

19. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions. When the processor executes the computer-executable instructions, the content display method according to any one of claims 1 to 14 or 15 is implemented.

20. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the content display method according to any one of claims 1 to 14 or 15 is implemented.

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