Recommendation method and device, storage medium and electronic equipment

Abstract

The embodiment of the invention provides a recommendation method and device, a storage medium and electronic equipment. The method comprises the steps that a first trigger operation input by a user is responded, a theme information flow recommendation interface is displayed, the theme information flow recommendation interface comprises target theme information and at least part of pushing objects corresponding to the target theme information, and the target theme information is determined based on historical interaction information of the user; and in response to a second trigger operation on the theme information flow recommendation interface, displaying an object recommendation interface corresponding to the target theme information, the object recommendation interface comprising a push object corresponding to the target theme information. By displaying the target theme information and the push objects, the plurality of push objects displayed in the theme information flow recommendation interface belong to the same target theme information, so that the subject of the push objects displayed by the client is improved.

Description

Technical Field

[0001] The present disclosure relates to computer technology, and more particularly to a recommendation method, device, storage medium, and electronic device. Background Art

[0002] With the continuous development of computer and network technologies, the number of ways to display information to users has increased, leading to a large amount of information being presented to users. Information display can be achieved through communication between a server and a client, with the server pushing content to the client, and then displaying the pushed content on the client.

[0003] However, the types of push objects displayed on the client are complex and lack thematic focus. Summary of the Invention

[0004] The present disclosure provides a recommendation method, device, storage medium, and electronic device to achieve the subjectivity and accuracy of push objects.

[0005] In a first aspect, an embodiment of the present disclosure provides a recommendation method, comprising:

[0006] In response to a first trigger operation input by a user, displaying a topic information stream recommendation interface, wherein the topic information stream recommendation interface includes target topic information and at least some push objects corresponding to the target topic information, wherein the target topic information is determined based on the user's historical interaction information;

[0007] In response to a second triggering operation on the subject information flow recommendation interface, an object recommendation interface corresponding to the target subject information is displayed, wherein the object recommendation interface includes a push object corresponding to the target subject information.

[0008] In a second aspect, the embodiments of the present disclosure further provide a recommendation method, including:

[0009] a first display module configured to display a topic information flow recommendation interface in response to a first trigger operation input by a user, wherein the topic information flow recommendation interface includes target topic information and at least some push objects corresponding to the target topic information, wherein the target topic information is determined based on the user's historical interaction information;

[0010] The second display module is used to display an object recommendation interface corresponding to the target subject information in response to a second trigger operation on the subject information flow recommendation interface, wherein the object recommendation interface includes a push object corresponding to the target subject information.

[0011] In a third aspect, an embodiment of the present disclosure further provides an electronic device, the electronic device comprising:

[0012] one or more processors;

[0013] a storage device for storing one or more programs,

[0014] When the one or more programs are executed by the one or more processors, the one or more processors implement the recommended method provided by any embodiment of the present disclosure.

[0015] In a fourth aspect, an embodiment of the present disclosure further provides a storage medium comprising computer-executable instructions, which, when executed by a computer processor, are used to execute the recommendation method provided in any embodiment of the present disclosure.

[0016] In the disclosed embodiments, the subject matter of the push objects displayed on the subject matter information flow recommendation interface is enhanced by displaying the target subject matter information and the push objects corresponding to the target subject matter information on the subject matter information flow display interface. By linking the subject matter information flow recommendation interface with the object recommendation interface, the push objects of the target subject matter information are linked to each other in the recommended subject matter information flow recommendation interface and the object recommendation interface, and the push objects corresponding to the target subject matter information are comprehensively and thematically displayed through the object recommendation interface. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The above and other features, advantages, and aspects of the various embodiments of the present disclosure will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. Throughout the drawings, the same or similar reference numerals represent the same or similar elements. It should be understood that the drawings are schematic and that the originals and elements are not necessarily drawn to scale.

[0018] Figure 1 A schematic diagram of an application scenario provided by an embodiment of the present disclosure;

[0019] Figure 2 A flowchart of a recommended method provided by an embodiment of the present disclosure;

[0020] Figure 3 This is a schematic diagram of a topic information flow recommendation interface provided by an embodiment of the present disclosure;

[0021] Figure 4 This is a schematic diagram of a topic information flow recommendation interface provided by an embodiment of the present disclosure;

[0022] Figure 5 is a schematic diagram showing an object recommendation interface provided by an embodiment of the present disclosure;

[0023] Figure 6 is a structural diagram of a recommended device provided by an embodiment of the present disclosure;

[0024] Figure 7It is a structural diagram of an electronic device provided by an embodiment of the present disclosure. DETAILED DESCRIPTION

[0025] The following describes embodiments of the present disclosure in more detail with reference to the accompanying drawings. Although certain embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be construed as limited to the embodiments described herein. Rather, these embodiments are provided to provide a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are for illustrative purposes only and are not intended to limit the scope of protection of the present disclosure.

[0026] It should be understood that the various steps described in the method embodiments of the present disclosure may be performed in different orders and / or in parallel. In addition, the method embodiments may include additional steps and / or omit the steps shown. The scope of the present disclosure is not limited in this respect.

[0027] As used herein, the term "including" and its variations are open-ended, i.e., "including but not limited to." The term "based on" means "based, at least in part, on." The term "one embodiment" means "at least one embodiment," the term "another embodiment" means "at least one additional embodiment," and the term "some embodiments" means "at least some embodiments." Other terms are defined in the following description.

[0028] It should be noted that the concepts of "first" and "second" mentioned in this disclosure are only used to distinguish different devices, modules or units, and are not used to limit the order or interdependence of the functions performed by these devices, modules or units.

[0029] It should be noted that the modifications of "one" and "multiple" mentioned in the present disclosure are illustrative rather than restrictive, and those skilled in the art should understand that unless otherwise clearly indicated in the context, they should be understood as "one or more".

[0030] The names of the messages or information exchanged between multiple devices in the embodiments of the present disclosure are only used for illustrative purposes and are not used to limit the scope of these messages or information.

[0031] It is understandable that before using the technical solutions disclosed in the various embodiments of this disclosure, the type, scope of use, usage scenarios, etc. of the personal information involved in this 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.

[0032] For example, in response to a user's active request, a prompt message is sent to the user to clearly inform the user that the operation requested will require the acquisition and use of the user's personal information. This allows the user to independently choose whether to provide personal information to the electronic device, application, server, storage medium, or other software or hardware that performs the operations of the disclosed technical solution based on the prompt message.

[0033] As an optional but non-limiting implementation, in response to receiving a user's active request, 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. Furthermore, the pop-up window may also contain a selection control for the user to select "agree" or "disagree" to provide personal information to the electronic device.

[0034] It is understandable that the above notification and user authorization process are merely illustrative and do not limit the implementation of the present disclosure. Other methods that comply with relevant laws and regulations may also be applied to the implementation of the present disclosure.

[0035] It is understandable that the data involved in this technical solution (including but not limited to the data itself, the acquisition or use of the data) must comply with the requirements of relevant laws, regulations and relevant provisions.

[0036] Figure 1 This is a schematic diagram of an application scenario provided by an embodiment of the present disclosure, wherein multiple clients 1 are communicatively connected to a server 2, and data transmission between the clients 1 and the server 2 can be achieved through a wireless network or the like. The client 1 can act as a content provider and upload content to the server 2. The server 2 receives and stores the content. The client 1 can act as a content presenter, with the server 2 pushing content to the client and displaying it through the client 1. The client 1 can act as a content provider or a content presenter under different role selection operations. The client 1 can be an electronic device such as a mobile phone, a PC, or a tablet computer.

[0037] Figure 2 This is a flowchart of a recommendation method provided by an embodiment of the present disclosure. The present disclosure embodiment is applicable to the situation where the push objects are displayed thematically in the theme information flow recommendation interface of the client. The method can be executed by a recommendation device, which can be implemented in the form of software and / or hardware. Optionally, it can be implemented by an electronic device, which can be a mobile terminal, PC, etc. Figure 2 As shown, the method includes:

[0038] S110. In response to a first trigger operation input by a user, a topic information flow recommendation interface is displayed, wherein the topic information flow recommendation interface includes target topic information and at least part of the push objects corresponding to the target topic information, wherein the target topic information is determined based on the historical interaction information of the user.

[0039] S120: In response to a second triggering operation on the topic information flow recommendation interface, display an object recommendation interface corresponding to the target topic information, wherein the object recommendation interface includes a push object corresponding to the target topic information.

[0040] The client displays the subject information flow recommendation interface by receiving a first trigger operation input by the user. The first trigger operation may include a startup operation of an application, which is used to display the push object; the first trigger operation may also be a selection operation of a preset display label in the subject information flow recommendation interface of the client, wherein the top position of the subject information flow recommendation interface may display multiple display labels, such as "Follow", "Recommend", "Same City", etc. The preset display label used to trigger the display of the target object may be, for example, a "Recommend" label. Specifically, the trigger operation may be a click operation on the "Recommend" label to switch from the interface of other display labels to the subject information flow recommendation interface of the "Recommend" label, or by sliding the display interface to switch from the interface of other display labels to the subject information flow recommendation interface of the "Recommend" label, such as a left-right sliding operation. The first trigger operation may also be an update operation on the subject information flow recommendation interface. For example, it may be a sliding operation on the subject information flow recommendation interface, such as an up-down sliding operation.

[0041] The target topic information and at least part of the push objects of the target topic information are displayed in the topic information flow recommendation interface, thereby realizing the thematic display of the target topic information in the topic information flow recommendation interface. The target topic information can be topic information that matches the user's historical interaction information. It is understandable that a large number of objects to be pushed can correspond to different topic information respectively. By determining the target topic information that matches the user's historical interaction information, accurate push to the user is realized. By determining the push objects corresponding to the target topic information, at least part of the push objects of the target topic information are displayed on the topic information flow recommendation interface at the same time as the target topic information, thereby realizing the thematic display of the push objects.

[0042] Push objects can include, but are not limited to, physical products, service products, and virtual resource products, such as restaurants, hotels, and movie tickets. The server can push multiple push objects to the client, which are displayed in the client's topic information flow recommendation interface. To avoid the situation where multiple push objects belonging to different topics appear in the topic information flow recommendation interface, for example, Push Object 1 is a restaurant, Push Object 2 is a hotel, and Push Object 3 is a hair salon, etc., the same topic information flow recommendation interface displays multiple push objects of various categories, which weakens the theme and distracts user attention.

[0043] Displaying a pushed object can be understood as displaying the associated information of the pushed object, where the associated information includes the entity display information and attribute information of the pushed object. The entity display information can be information such as images and videos, and the attribute information includes but is not limited to transaction volume information, location information, rating information, transaction value, etc. For example, the pushed object can be Restaurant A, and the displayed information includes Restaurant A's image, store location, sales volume, rating, price, etc.

[0044] In the topic information flow recommendation interface, the target topic information and at least part of the push objects of the target topic information are displayed, wherein the topic information flow recommendation interface includes a topic display area and a push object display area; the topic display area is used to display the target topic information; the push object display area includes multiple sub-areas, each of which is used to display a push object. For example, see Figure 3 , Figure 3 Schematic diagram of a topic information flow recommendation interface provided by an embodiment of the present disclosure. The display position and display method of the information displayed in the sub-area are not limited.

[0045] In some embodiments, a content display page can be generated based on the target topic information and at least a portion of the push objects of the target topic information, and displayed in the topic information flow recommendation interface. The content display page can be in the form of a card. The initial content display page is called, and the initial content display page includes a topic display area and a push object display area. The target topic information is added to the topic display area, and the push objects are added to the push object display area to form the content display page.

[0046] The target theme information can be displayed in a manner of generating a spliced ​​theme based on the target theme information, and displaying the spliced ​​theme in the theme display area. The spliced ​​theme can be obtained by splicing the target theme information and a preset identifier. The preset identifier can be one or more of text, characters, or graphics, for example, the preset identifier can be one or more of "selected", "preferred", "recommended", etc. Correspondingly, the spliced ​​theme can be selected + target theme information, or target theme information + recommendation, or selected / preferred + target theme information + recommendation, etc. Exemplarily, the preset identifier can also include graphics such as ☆, and the corresponding spliced ​​theme can be ☆☆☆ + target theme information + recommendation. For example, see Figure 4 , Figure 4 This is a schematic diagram of a topic information flow recommendation interface provided by an embodiment of the present disclosure.

[0047] In some embodiments, the information layout of the subject information flow recommendation interface (or content display page) can be adjusted according to the number of push objects to be displayed and / or the user's interest stage in the push objects, so as to flexibly display push objects in different situations.

[0048] Among them, the user's interest stage for the pushed object includes but is not limited to the discovery stage, the interest generation stage, and the transaction stage, and the attention to multiple display information in the pushed object is different in different stages. The user's interest stage for the pushed object can be determined based on the user's historical behavior information for the pushed object. The user's historical behavior information for the pushed object includes but is not limited to browsing, entering the details page, collecting, setting likes, liking, ordering and other operation information. Each interest stage corresponds to different historical behavior information conditions, and the interest stage can be determined by the user's status information. For example, the status information includes order information for the target object, and the interest stage is determined to be the transaction stage; the status information includes one or more historical behavior information such as collecting, setting likes, and liking, and the interest stage is determined to be the interest generation stage; when the status information is empty or only includes historical behavior information such as browsing, the interest stage is determined to be the discovery stage.

[0049] Users have different levels of interest in the information displayed in the push objects at different interest levels. Different information layouts can be used to highlight the displayed information of interest at different interest levels. Specifically, the highlighted displayed information can be displayed in a differentiated manner. The differentiated display manner includes one or more of the following: enlarging the displayed information of interest, changing the font, color, and other attributes of the displayed information of interest, and adjusting the display position of the displayed information of interest.

[0050] In this embodiment, content display is performed locally based on information determined based on the number of pushed objects and / or the user's interest stage in the pushed objects, thereby improving the flexibility of content display and meeting different display requirements.

[0051] In the above embodiment, the push objects displayed in the topic information flow recommendation interface are at least part of all the push objects of the server. The number of push objects in the topic information flow recommendation interface is a preset number, and the preset number of push objects are determined from all the push objects of the server and displayed in the topic information flow recommendation interface. Optionally, a preset number of push objects can be randomly determined from all the push objects of the server, or all the push objects of the server can be sorted based on preset sorting conditions, and the preset number of push objects can be determined based on the sorting. The sorting conditions include, but are not limited to, one or more of the rating data of the push objects, the distance from the user's current location, the praise rate, the transaction volume, etc.

[0052] During the display of the topic information flow recommendation interface, a second trigger operation of the user on the topic information flow recommendation interface may be received to display the object recommendation interface corresponding to the target topic information, and the object recommendation interface includes the push object corresponding to the target topic information. The second trigger operation may be a trigger operation for viewing more controls in the topic information flow recommendation interface. For example, see Figure 5 , Figure 5 This is a schematic diagram of page jump provided by an embodiment of the present disclosure.

[0053] By displaying an object recommendation interface, a more comprehensive thematic display of push objects corresponding to the target subject information is provided in the object recommendation interface. Multiple push objects are displayed in the object recommendation interface, and push objects in the object recommendation interface can be updated by sliding operations, which can be up and down sliding operations.

[0054] The object recommendation interface includes a channel tag of the subject level to which the target subject information belongs. Accordingly, the push object displayed on the object recommendation interface matches the channel tag.

[0055] Determine the channel label corresponding to the target theme information in the object recommendation interface. The channel label corresponding to the target theme information can be determined based on the theme level to which the target theme information belongs. In order to meet the different needs of different users for theme information, multiple theme levels are pre-set. Different theme levels include different theme information to meet different degrees of theme needs. Optionally, the theme level includes at least one or more of the first-level category, the scene label level, and the platform label level. In particular, the first-level category includes but is not limited to restaurants, hotels, hair salons, and travel. Taking restaurants as an example, the second-level categories of restaurants include but are not limited to party restaurants, atmosphere restaurants, and parent-child friendly restaurants. The scene label level can be smaller than the second-level category and is a subcategory of the second-level category. The second-level category is divided by the scene label. For example, the scene label of the atmosphere restaurant includes but is not limited to couples dating, girlfriends gathering, etc. The platform label level can be an attribute label generated by the platform based on the attributes of the candidate push object. The platform label includes high comprehensive score, discount, close distance, and being on the list.

[0056] If the target subject information's subject level is a first-level or second-level category, the channel tag of the first-level or second-level category is determined as the channel tag corresponding to the target subject information. If the target subject information belongs to the scene tag level or the platform tag level, the scene tag level and the platform tag level are traced back to the subject level to determine the first-level category to which the target subject information belongs, and the channel tag of the first-level category is determined as the channel tag corresponding to the target subject information.

[0057] For example, Figure 5 The target theme information is food, the corresponding channel label is the food label, and accordingly, the object recommendation interface is the food object recommendation interface.

[0058] In some embodiments, a channel label is displayed at the top of the object recommendation interface; in some embodiments, the object recommendation interface includes multiple channel labels of the subject level to which the target subject information belongs. For example, when the subject level of the target subject information is a secondary category, the secondary category corresponds to multiple channel labels, and the multiple channel labels include a channel label corresponding to the target subject information. The target channel labels corresponding to the target subject information are displayed separately for easy viewing by users.

[0059] In the object recommendation interface, at least part of the pushed objects displayed in the subject information flow recommendation interface are displayed at a preset position relative to the object recommendation interface. Figure 5 Some of the push objects displayed in the theme information flow recommendation interface are food stores 1, 2, and 3. In the object recommendation interface, food stores 1, 2, and 3 are set to the top, that is, food stores 1, 2, and 3 are displayed at the top of the object recommendation interface.

[0060] In some embodiments, the push objects displayed in the object recommendation interface are displayed as a candidate set based on the push objects of the target subject information sent by the server. The push objects with the same target subject information in the object recommendation interface improve the display theme of the object recommendation interface.

[0061] Based on the above embodiment, the topic information stream recommendation interface includes actionable controls. In response to triggering an actionable control, the result of the action is displayed. Actionable controls include a view more control and a dislike setting control. In response to triggering the dislike setting control, the topic information stream recommendation interface is updated, and the pushed object is tagged with a dislike tag. The location of the actionable controls in the topic information stream recommendation interface is not limited and can be located at the bottom area or in the upper right corner, etc., and can be set as needed.

[0062] The technical solution provided in this embodiment improves the topicality of the push objects displayed on the topic information flow recommendation interface by displaying the target topic information and the push objects corresponding to the target topic information on the topic information flow display interface. By linking the topic information flow recommendation interface with the object recommendation interface, the push objects of the target topic information are linked to each other in the recommended topic information flow recommendation interface and the object recommendation interface. The object recommendation interface enables a comprehensive and topical display of the push objects corresponding to the target topic information.

[0063] Based on the above embodiment, the target topic information displayed in the topic information flow display interface is determined based on the user's historical interaction information, so as to improve the accuracy of the content displayed in the topic information flow display interface. The process of determining the target topic information can be performed by the server. Specifically, the client can obtain the user's historical interaction information and send the user's historical interaction information to the server. The server determines the target topic information and the push object corresponding to the target topic information based on the user's historical interaction information, and pushes the target topic information and the push object corresponding to the target topic information to the client, thereby improving the push accuracy of the target topic information and the push object.

[0064] The historical interaction information can be obtained by pre-storing the historical interaction information of at least one user in the client and reading the historical interaction information corresponding to the client's login account. Alternatively, the historical interaction information can be determined by identifying characteristics such as the user's fingerprint and reading the historical interaction information corresponding to the current user information. The historical interaction information is sent to the server, which then pushes the target topic information and its push recipients that match the historical interaction information to the client.

[0065] Historical interaction information refers to information about interactions between users and historically pushed items, including but not limited to click behavior information on historically pushed items, order behavior information on historically pushed items, and feedback behavior information on historically pushed items. Feedback behavior information includes but is not limited to information about actions such as likes, dislikes, following, unfollowing, and comments. Optionally, historical interaction information may include interaction information within a preset time period before the current moment.

[0066] In this embodiment, the server determines a push object suitable for historical interaction information from a large number of candidate push objects. The server may push multiple push objects to the client, and these multiple push objects are displayed in the client's topic information flow recommendation interface. To avoid the situation where multiple push objects belonging to different topics appear in the topic information flow recommendation interface, for example, Push Object 1 is a restaurant, Push Object 2 is a hotel, and Push Object 3 is a hair salon, etc., the same topic information flow recommendation interface displays multiple push objects of various categories, which poorly presents the topic and distracts user attention.

[0067] By dividing a large number of candidate push objects into topics, each topic information includes multiple candidate push objects. When the target topic information that matches the historical interaction information is determined, the push object can be determined from the candidate push objects corresponding to the target topic information, so as to display the push objects under the same target topic information in the client's topic information flow recommendation interface, thereby providing thematic display of content and facilitating users to compare and select push objects with the same topic.

[0068] In some embodiments, the target topic information may be determined by: obtaining multiple candidate topic information; processing the historical interaction information based on a topic matching model to obtain target topic information that matches the historical interaction information. The topic matching model may be a neural network model, which is trained to obtain a model with a topic matching function through sample data of the user during the display of historical push objects, and the sample data includes historical interaction information and the topic information of the push object. By inputting the historical interaction information into the topic matching model, the output result of the topic matching model is obtained, wherein the output result may be the confidence level of the topic information, and the target topic information that matches the historical interaction information is determined by the confidence level. For example, the topic information with the highest confidence level may be determined as the target topic information. It is understandable that the above-mentioned multiple candidate topic information is a collection of candidate topic information at multiple topic levels. For example, the multiple candidate topic information includes restaurants, hotels, hair salons, parent-child restaurants, party restaurants, convenient hotels, youth hostels, etc.

[0069] In some embodiments, the target topic information can be determined by: obtaining multiple candidate topic information; obtaining the user's historical interaction information, and determining the topic interaction information in the historical push object display process of each candidate topic information in the historical interaction information; and determining the target topic information based on the interaction type and / or interaction frequency of the topic interaction information corresponding to the candidate topic information.

[0070] Historical interaction information is the user's interaction information with historical push objects, including the interaction object, interaction type, interaction timestamp, etc. of each interaction information. The interaction type can be placing an order, clicking to browse, setting a like, evaluating, etc., and the interaction object is the historical push object. The historical interaction information is divided based on the candidate topic information corresponding to the historical push object, and the collection of interaction information of multiple historical push objects corresponding to the candidate topic information is determined as the topic interaction information of the candidate topic information. The user's interest in the candidate topic information can be determined by the interaction type and / or interaction frequency in the topic interaction information of the candidate topic information, and the candidate topic information with the greatest interest can be determined as the target topic information.

[0071] Optionally, the user's interest in the candidate topic information can be represented by the interaction frequency in the topic interaction information of the candidate topic information. The interest level is positively correlated with the interaction frequency. The interaction frequency can be the sum of the number of interaction information in the topic interaction information. Optionally, the user's interest in the candidate topic information can be represented by the interaction type in the topic interaction information of the candidate topic information. For example, the interest levels corresponding to the interaction types of placing an order, setting a like, and clicking to browse decrease in sequence. Optionally, the user's interest in the candidate topic information can be represented by the interaction frequency of a specific interaction type in the topic interaction information of the candidate topic information. The interest level is positively correlated with the interaction frequency of the specific interaction type. The specific interaction type can be placing an order, etc., which can be set according to needs. Optionally, the interaction frequency of each interaction type in the topic interaction information of the candidate topic information is determined, and the interaction frequency of each interaction type is weighted by the weight of each interaction type. The interest level is represented by the weighted value. The interest level is positively correlated with the weighted value.

[0072] The target topic information is determined from multiple candidate topic information in the above manner. Each candidate topic information has a candidate set of push objects. When the target topic information is determined, the push object can be determined from the candidate set of push objects of the target topic information.

[0073] Among them, the method for determining the push object corresponding to the target topic information includes: determining the topic level to which the target topic information belongs, and the multiple candidate topic information included in the topic level; clustering the candidate push objects based on the multiple candidate topic information to obtain the candidate push objects corresponding to each candidate topic information; extracting the candidate push objects of the target topic information as push objects.

[0074] Based on the preset correspondence between topic levels and candidate topic information, the topic level to which the target topic information belongs is determined. Multiple candidate topic information included in the topic level is extracted, and candidate push objects are clustered based on the multiple candidate topic information included in the topic level to obtain the push object corresponding to the target topic information.

[0075] In some embodiments, a preset clustering algorithm may be used to cluster candidate push objects to obtain multiple clusters, each cluster including multiple candidate push objects. Specifically, clustering may be performed based on the associated text of the candidate push objects, where the associated text may be one or more of the description text and feedback text (e.g., evaluation information) of the candidate push objects.

[0076] Extract high-frequency keywords from each cluster, match the high-frequency keywords of the cluster with the preset keywords of the candidate topic information, determine the correspondence between the cluster and the candidate topic information, and when the keywords of the cluster match those of the candidate topic information, determine the candidate push object in the cluster as the candidate push object corresponding to the candidate topic information.

[0077] In some embodiments, candidate push objects are clustered based on multiple candidate topic information at the topic level to obtain candidate push objects corresponding to each candidate topic information, including: extracting keywords from the associated text of the candidate push objects, and clustering based on the keywords of the candidate push objects and the preset keywords of each candidate topic information to obtain candidate push objects corresponding to each candidate topic information.

[0078] Optionally, for any candidate push object, keywords are extracted from the associated text of the candidate push object, and the keywords of the candidate push object are matched with the preset keywords of the candidate topic information. If a keyword match is successful, the candidate push object is determined to match the candidate topic information, and the candidate push object is added to the candidate set of the candidate topic information. For example, the preset keywords for a parent-child friendly restaurant include but are not limited to "having baby chairs" and "suitable for bringing children", while the preset keywords for an atmosphere restaurant include but are not limited to "good-looking" and "suitable for taking photos", etc.

[0079] Optionally, the keywords of the candidate push object may be converted into a first feature vector, and the preset keywords of the candidate topic information may be converted into a second feature vector. Clustering processing may be performed based on the similarity between the first feature vector and the second feature vector. When the similarity between the first feature vector and the second feature vector is greater than a similarity threshold, the candidate push object is determined to match the candidate topic information, and the candidate push object is added to the candidate set of the candidate topic information. Alternatively, clustering processing may be performed based on the distance between the first feature vector and the second feature vector. When the distance between the first feature vector and the second feature vector is less than a distance threshold, the candidate push object is determined to match the candidate topic information, and the candidate push object is added to the candidate set of the topic information.

[0080] After dividing a large number of candidate push objects based on candidate topic information, the candidate push objects under the target topic information are extracted as push objects, and the target topic information and the push objects of the target topic information are pushed to the client, so that the client can display the push objects thematically.

[0081] The technical solution of the disclosed embodiments obtains historical interaction information, determines the topic level and target topic information that matches the historical interaction information, and pushes push objects that match the historical interaction information to the client, thereby improving the push accuracy of the push objects. By pushing content based on the determined topic level and target topic information, multiple push objects are determined to belong to the same target topic information, thereby improving the topicality of the push objects displayed to the client.

[0082] Figure 6 A schematic diagram of a recommended device structure provided by an embodiment of the present disclosure is shown in FIG. Figure 6 As shown, the device includes: a first display module 210 and a second display module 220 .

[0083] A first display module 210 is configured to display a topic information flow recommendation interface in response to a first trigger operation input by a user, wherein the topic information flow recommendation interface includes target topic information and at least some push objects corresponding to the target topic information, wherein the target topic information is determined based on the user's historical interaction information;

[0084] The second display module 220 is configured to display an object recommendation interface corresponding to the target subject information in response to a second triggering operation on the subject information flow recommendation interface, wherein the object recommendation interface includes a push object corresponding to the target subject information.

[0085] The technical solution provided by the embodiments of the present disclosure improves the topicality of the push objects displayed on the topic information flow recommendation interface by displaying the target topic information and the push objects corresponding to the target topic information in the topic information flow display interface. By linking the topic information flow recommendation interface with the object recommendation interface, the push objects of the target topic information are linked to each other in the recommended topic information flow recommendation interface and the object recommendation interface, and the push objects corresponding to the target topic information are comprehensively and thematically displayed through the object recommendation interface.

[0086] Based on the above embodiment, optionally, the topic information flow recommendation interface includes a topic display area and a push object display area; the topic display area is used to display the target topic information; the push object display area includes multiple sub-areas, and the sub-areas are used to display a push object.

[0087] Optionally, the object recommendation interface includes a channel tag of the topic level to which the target topic information belongs, and the push object displayed on the object recommendation interface matches the channel tag.

[0088] Optionally, in the object recommendation interface, at least part of the pushed objects displayed in the subject information flow recommendation interface are displayed at the top position of the object recommendation interface.

[0089] Based on the above embodiment, optionally, the device also includes a target topic information determination module, which is used to: obtain multiple candidate topic information; obtain the user's historical interaction information, and determine the topic interaction information in the historical push object display process of each candidate topic information in the historical interaction information; determine the target topic information based on the interaction type and / or interaction frequency of the topic interaction information corresponding to the candidate topic information.

[0090] Optionally, the device further includes a push object determination module, configured to:

[0091] Determine the topic level to which the target topic information belongs, the topic level including multiple candidate topic information; cluster the candidate push objects based on the multiple candidate topic information to obtain the candidate push objects corresponding to each candidate topic information; extract the candidate push objects of the target topic information as push objects.

[0092] Based on the above embodiment, optionally, the subject level includes one or more of at least one primary category, a scene tag level, and a platform tag level.

[0093] The recommendation device provided in the embodiments of the present disclosure can execute the recommendation method provided in any embodiment of the present disclosure, and has the corresponding functional modules and beneficial effects of the execution method.

[0094] It is worth noting that the various units and modules included in the above-mentioned device are only divided according to functional logic, but are not limited to the above-mentioned division, as long as the corresponding functions can be achieved; in addition, the specific names of the functional units are only for the convenience of distinguishing each other, and are not used to limit the protection scope of the embodiments of the present disclosure.

[0095] Figure 7 This is a schematic diagram of the structure of an electronic device provided by an embodiment of the present disclosure. Figure 7 , which shows an electronic device (eg Figure 7 The terminal device in the embodiments of the present disclosure may include, but is not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (such as in-vehicle navigation terminals), and fixed terminals such as digital TVs and desktop computers. Figure 7 The electronic device shown is only an example and should not limit the functions and scope of use of the embodiments of the present disclosure.

[0096] like Figure 7 As shown, the electronic device 500 may include a processing device (e.g., a central processing unit, a graphics processing unit, etc.) 501, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 502 or a program loaded from a storage device 508 into a random access memory (RAM) 503. Various programs and data required for the operation of the electronic device 500 are also stored in the RAM 503. The processing device 501, the ROM 502, and the RAM 503 are connected to each other via a bus 504. An edit / output (I / O) interface 505 is also connected to the bus 504.

[0097] Typically, the following devices may be connected to the I / O interface 505: an input device 506 including, for example, a touch screen, a touchpad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; an output device 507 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; a storage device 508 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 509. The communication device 509 may allow the electronic device 500 to communicate with other devices wirelessly or by wire to exchange data. Although Figure 7 The electronic device 500 is shown with various devices, but it should be understood that it is not required to implement or possess all of the devices shown. More or fewer devices may be implemented or possessed instead.

[0098] 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 non-transitory computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from the network through the communication device 509, or installed from the storage device 508, or installed from the ROM 502. When the computer program is executed by the processing device 501, the above-mentioned functions defined in the method of the embodiment of the present disclosure are performed.

[0099] The names of the messages or information exchanged between multiple devices in the embodiments of the present disclosure are only used for illustrative purposes and are not used to limit the scope of these messages or information.

[0100] The electronic device provided by the embodiment of the present disclosure and the recommended method provided by the above embodiment belong to the same inventive concept. For technical details not fully described in this embodiment, please refer to the above embodiment, and this embodiment has the same beneficial effects as the above embodiment.

[0101] An embodiment of the present disclosure provides a computer storage medium having a computer program stored thereon. When the program is executed by a processor, the recommendation method provided in the above embodiment is implemented.

[0102] It should be noted that the computer-readable medium mentioned above in the present disclosure may be a computer-readable signal medium or a computer-readable storage medium, or any combination of the two. A computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or component, 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 that contains or stores a program that can be used by or in conjunction with an instruction execution system, device, or component. In the present disclosure, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, which carries computer-readable program code. Such a propagated data signal may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium that can transmit, propagate, or transport 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 thereof.

[0103] In some embodiments, the client and server can communicate using any currently known or future developed network protocol, such as HTTP (HyperText Transfer Protocol), and can be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), an internet (e.g., the Internet), and a peer-to-peer network (e.g., an ad hoc peer-to-peer network), as well as any currently known or future developed network.

[0104] The computer-readable medium may be included in the electronic device, or may exist independently without being incorporated into the electronic device.

[0105] The computer-readable medium carries one or more programs. When the one or more programs are executed by the electronic device, the electronic device:

[0106] The above-mentioned computer-readable medium carries one or more programs. When the above-mentioned one or more programs are executed by the electronic device, the electronic device: in response to a first trigger operation input by the user, displays a topic information flow recommendation interface, wherein the topic information flow recommendation interface includes target topic information and at least part of the push objects corresponding to the target topic information, wherein the target topic information is determined based on the historical interaction information of the user; in response to a second trigger operation on the topic information flow recommendation interface, displays an object recommendation interface corresponding to the target topic information, wherein the object recommendation interface includes the push objects corresponding to the target topic information.

[0107] 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, but not limited to, 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 a stand-alone software package, partially on the user's computer and partially on a remote computer, or entirely on the remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer through 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., through the Internet using an Internet service provider).

[0108] The flowcharts and block diagrams in the accompanying drawings illustrate the possible implementation architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each box in the flowchart or block diagram can represent a module, program segment, or a part of code, and the module, program segment, or a part of code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order than that marked in the accompanying drawings. For example, two 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 box in the block diagram and / or flowchart, and the combination of the boxes in the block diagram and / or flowchart, can be implemented with a dedicated hardware-based system that performs the specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0109] The units involved in the embodiments described in this disclosure may be implemented in software or hardware. In some cases, the name of a unit does not limit the unit itself. For example, the first acquisition unit may also be described as a "unit for acquiring at least two Internet Protocol addresses."

[0110] The functions described above herein may be performed, at least in part, by one or more hardware logic components. For example, and 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 chip (SOCs), complex programmable logic devices (CPLDs), and the like.

[0111] In the context of the present disclosure, a machine-readable medium can be a tangible medium that can contain or store a program for use by or in conjunction with an instruction execution system, device or equipment. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium can 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 can 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.

[0112] [In the detailed description section, after the full text, please repeat all the content you want to protect in the form of claims in the following format:]

[0113] According to one or more embodiments of the present disclosure, [Example 1] provides a recommendation method, including:

[0114] In response to a first trigger operation input by a user, displaying a topic information stream recommendation interface, wherein the topic information stream recommendation interface includes target topic information and at least some push objects corresponding to the target topic information, wherein the target topic information is determined based on the user's historical interaction information;

[0115] In response to a second triggering operation on the subject information flow recommendation interface, an object recommendation interface corresponding to the target subject information is displayed, wherein the object recommendation interface includes a push object corresponding to the target subject information.

[0116] According to one or more embodiments of the present disclosure, [Example 2] provides the recommendation method of Example 1, further comprising:

[0117] The topic information flow recommendation interface includes a topic display area and a push object display area;

[0118] The subject display area is used to display the target subject information; the push object display area includes multiple sub-areas, and the sub-areas are used to display a push object.

[0119] According to one or more embodiments of the present disclosure, [Example 3] provides the recommendation method of Example 1, further comprising:

[0120] The object recommendation interface includes a channel tag of the subject level to which the target subject information belongs, and the push object displayed on the object recommendation interface matches the channel tag.

[0121] According to one or more embodiments of the present disclosure, [Example 4] provides the recommendation method of Example 1, further comprising:

[0122] In the object recommendation interface, at least part of the pushed objects displayed in the subject information flow recommendation interface are displayed at the top position of the object recommendation interface.

[0123] According to one or more embodiments of the present disclosure, [Example 5] provides the recommendation method of Example 1, further comprising:

[0124] The method for determining the target topic information includes: obtaining multiple candidate topic information; obtaining the user's historical interaction information, and determining the topic interaction information in the historical push object display process of each candidate topic information in the historical interaction information; determining the target topic information based on the interaction type and / or interaction frequency of the topic interaction information corresponding to the candidate topic information.

[0125] According to one or more embodiments of the present disclosure, [Example 6] provides the recommendation method of Example 1, further comprising:

[0126] The method for determining the push object corresponding to the target topic information includes: determining the topic level to which the target topic information belongs, and the multiple candidate topic information included in the topic level; clustering the candidate push objects based on the multiple candidate topic information to obtain the candidate push object corresponding to each candidate topic information; and extracting the candidate push object of the target topic information as the push object.

[0127] According to one or more embodiments of the present disclosure, [Example 7] provides the recommendation method of Example 1, further comprising:

[0128] The subject level includes at least one or more of a primary category, a scene tag level, and a platform tag level.

[0129] According to one or more embodiments of the present disclosure, [Example 8] provides a recommendation device, including:

[0130] a first display module configured to display a topic information flow recommendation interface in response to a first trigger operation input by a user, wherein the topic information flow recommendation interface includes target topic information and at least some push objects corresponding to the target topic information, wherein the target topic information is determined based on the user's historical interaction information;

[0131] The second display module is used to display an object recommendation interface corresponding to the target subject information in response to a second trigger operation on the subject information flow recommendation interface, wherein the object recommendation interface includes a push object corresponding to the target subject information.

[0132] The above description is merely a preferred embodiment of the present disclosure and an illustration of the technical principles employed. 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 the specific combination of the above-mentioned technical features, but also includes other technical solutions formed by any combination of the above-mentioned technical features or their equivalents without departing from the above-mentioned disclosed concepts. For example, a technical solution formed by replacing the above-mentioned features with (but not limited to) technical features with similar functions disclosed in this disclosure.

[0133] 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 have been 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.

[0134] Although the subject matter has been described in language specific to structural features and / or methodological logical acts, it should be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are merely example forms of implementing the claims.

Claims

1. A recommendation method, characterized in that: include: In response to a first trigger operation input by a user, displaying a topic information stream recommendation interface, wherein the topic information stream recommendation interface includes target topic information and at least part of the push objects corresponding to the target topic information, wherein the target topic information is determined based on the historical interaction information of the user; In response to a second trigger operation on the subject information flow recommendation interface, an object recommendation interface corresponding to the target subject information is displayed, wherein the object recommendation interface includes a push object corresponding to the target subject information.

2. The method according to claim 1, characterized in that The topic information flow recommendation interface includes a topic display area and a push object display area; The subject display area is used to display the target subject information; the push object display area includes a plurality of sub-areas, and the sub-areas are used to display a push object.

3. The method according to claim 1, characterized in that The object recommendation interface includes a channel tag of the subject level to which the target subject information belongs, and the push object displayed on the object recommendation interface matches the channel tag.

4. The method according to claim 1, characterized in that In the object recommendation interface, at least part of the pushed objects displayed in the subject information flow recommendation interface are displayed at the top position of the object recommendation interface.

5. The method according to claim 1, characterized in that The method for determining the target subject information includes: Obtain information about multiple candidate topics; Acquire historical interaction information of the user, and determine the topic interaction information in the display process of the historical push object of each candidate topic information in the historical interaction information; The target topic information is determined based on the interaction type and / or interaction frequency of the topic interaction information corresponding to the candidate topic information.

6. The method according to claim 5, characterized in that The method for determining the push object corresponding to the target subject information includes: Determine the topic level to which the target topic information belongs, and the topic level includes a plurality of candidate topic information; Clustering the candidate push objects based on the multiple candidate topic information to obtain the candidate push object corresponding to each candidate topic information; Extract the candidate push objects of the target subject information as push objects.

7. The method according to claim 6, characterized in that The subject level includes at least one or more of a primary category, a scene tag level, and a platform tag level.

8. A recommendation device, characterized in that: include: A first display module, configured to display a topic information flow recommendation interface in response to a first trigger operation input by a user, wherein the topic information flow recommendation interface includes target topic information and at least part of the push objects corresponding to the target topic information, wherein the target topic information is determined based on the historical interaction information of the user; The second display module is used to display an object recommendation interface corresponding to the target subject information in response to a second trigger operation on the subject information flow recommendation interface, wherein the object recommendation interface includes a push object corresponding to the target subject information.

9. An electronic device, characterized in that: The electronic device comprises: one or more processors; a storage device for storing one or more programs, When the one or more programs are executed by the one or more processors, the one or more processors implement the recommendation method as described in any one of claims 1 to 7.

10. A storage medium comprising computer executable instructions, wherein the computer executable instructions are used to perform the recommendation method according to any one of claims 1 to 7 when executed by a computer processor.

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