Search result display method, device, computer equipment and storage medium

Abstract

The present disclosure provides a search result display method, apparatus, computer equipment and storage medium, wherein the method comprises: receiving a search term, wherein the search term corresponds to multiple target search intents; obtaining a recommendation term corresponding to each of the target search intents, and multimedia information corresponding to each of the recommendation terms; wherein the multiple target search intents include a target search intent determined based on entity update information associated with the search term and consumption data of media information associated with the search term; and displaying the recommendation term and preview content of the multimedia information corresponding to each of the recommendation terms on a search result page. The target search intent in the embodiments of the present disclosure is more in line with the user's real search intent; further, the recommendation term and multimedia information determined based on the target search intent can better meet the user's search needs, thereby improving the convenience of the user in finding search results that meet their needs.

Description

Technical Field

[0001] The present disclosure relates to the field of information technology, and in particular to a search result display method, device, computer equipment and storage medium. Background Art

[0002] With the development of Internet technology, searching for information using terminal applications or websites has become the main source of information for people. Users can search for the information they want to know on terminal applications or websites.

[0003] Usually, during the search process, a search term entered may correspond to different search results. For example, when entering "Kung Pao Chicken", it may correspond to both the search results of "How to make Kung Pao Chicken" and the search results of "Which restaurant makes the best Kung Pao Chicken". In order to meet the search needs of users, how to better display the search results is an urgent problem to be solved. Summary of the invention

[0004] The embodiments of the present disclosure at least provide a search result display method, apparatus, computer equipment and storage medium.

[0005] In a first aspect, an embodiment of the present disclosure provides a search result display method, including:

[0006] Receiving a search term, wherein the search term corresponds to a plurality of target search intents;

[0007] Acquire a recommended word corresponding to each of the target search intents, and multimedia information corresponding to each of the recommended words; wherein the multiple target search intents include a target search intent determined based on entity update information associated with the search word and consumption data of media information associated with the search word;

[0008] The recommended words and the preview content of the multimedia information corresponding to each of the recommended words are displayed on the search result page.

[0009] In an optional implementation manner, the recommendation word corresponding to the target search intent is generated according to the following steps:

[0010] Obtaining dimensional keywords representing search dimensions corresponding to the target search intent;

[0011] Based on the dimensional keywords and the search terms, a recommendation term corresponding to the target search intent is generated.

[0012] In an optional implementation manner, the multiple target search intentions include a target search intention determined according to the following steps:

[0013] Acquire entity update information associated with the search term, and consumption data of media information associated with the search term;

[0014] Selecting entity update information that meets a preset update condition and consumption data that meets a preset consumption condition from the acquired entity update information and the associated media information consumption data;

[0015] The target search intention is determined based on the entity update information that meets the preset update conditions and the consumption data that meets the preset consumption conditions.

[0016] In an optional implementation manner, the multiple target search intentions also include a target search intention determined according to the following steps:

[0017] Acquire media information consumption data before receiving the search term;

[0018] Based on the media information consumption data, the target search intention is determined.

[0019] In an optional implementation manner, the determination of the target search intention includes:

[0020] In response to the presence of multiple search dimensions that match the semantic information of the search term, determining the search intent of the search term under the multiple search dimensions;

[0021] Based on the consumption data respectively corresponding to the multiple search intentions, the target search intention is determined from the multiple search intentions.

[0022] In an optional implementation manner, the determination of the target search intention includes:

[0023] In response to the existence of multiple types of semantic information corresponding to the search term, determining search dimensions corresponding to the multiple types of semantic information respectively, and determining the search intent of the search term under the search dimensions;

[0024] Based on the consumption data respectively corresponding to the multiple search intentions, the target search intention is determined from the multiple search intentions.

[0025] In an optional implementation manner, the multimedia information includes a plurality of multimedia resources, and the multimedia information corresponding to the recommendation word is determined according to the following steps:

[0026] According to the search dimension corresponding to the recommendation word, determining multiple genre types corresponding to the search dimension;

[0027] For the multiple genre types, target multimedia resources belonging to each genre type are determined respectively as multimedia information corresponding to the preview content displayed on the search result page.

[0028] In a second aspect, the present disclosure also provides a search result display device, including:

[0029] A receiving module, configured to receive a search term, wherein the search term corresponds to a plurality of target search intents;

[0030] An acquisition module, used to acquire the recommended words corresponding to each of the target search intents, and the multimedia information corresponding to each of the recommended words; wherein the multiple target search intents include a target search intent determined based on the entity update information associated with the search word and the consumption data of the associated media information of the search word;

[0031] The display module is used to display the recommended words and the preview content of the multimedia information corresponding to each of the recommended words on the search result page.

[0032] In a third aspect, an embodiment of the present disclosure further provides a computer device, comprising: a processor, a memory and a bus, wherein the memory stores machine-readable instructions executable by the processor, and when the computer device is running, the processor and the memory communicate via the bus, and when the machine-readable instructions are executed by the processor, the steps of the above-mentioned first aspect, or any possible implementation of the first aspect are performed.

[0033] In a fourth aspect, an embodiment of the present disclosure further provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the above-mentioned first aspect or any possible implementation of the first aspect are executed.

[0034] A search result display method proposed in an embodiment of the present disclosure can obtain recommended words under each target search intent corresponding to the search word and multimedia information corresponding to each recommended word after receiving a search word, and display them on a search result page; wherein the multiple target search intents may include a target search intent determined based on entity update information associated with the search word and consumption data of media information associated with the search word. In an embodiment of the present disclosure, the target search intent determined based on entity update information associated with the search word and consumption data of media information associated with the search word can be more in line with the user's real search intent; further, the recommended words under the determined target search intent and their corresponding multimedia information can be more in line with the user's search needs, thereby improving the convenience for users to find search results that meet their needs.

[0035] In order to make the above-mentioned objectives, features and advantages of the present disclosure more obvious and easy to understand, preferred embodiments are specifically cited below and described in detail with reference to the attached drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the following is a brief introduction to the drawings required for use in the embodiments. The drawings herein are incorporated into the specification and constitute a part of the specification. These drawings illustrate embodiments consistent with the present disclosure and are used together with the specification to illustrate the technical solutions of the present disclosure. It should be understood that the following drawings only illustrate certain embodiments of the present disclosure and should not be regarded as limiting the scope. For ordinary technicians in this field, other relevant drawings can also be obtained based on these drawings without creative work.

[0037] Figure 1 A flowchart of a search result display method provided by an embodiment of the present disclosure is shown;

[0038] Figure 2 A schematic diagram of a search result page provided by an embodiment of the present disclosure is shown;

[0039] Figure 3 A schematic diagram showing another search result page provided by an embodiment of the present disclosure is shown;

[0040] Figure 4 A flowchart showing another search result display method provided by an embodiment of the present disclosure is shown;

[0041] Figure 5 A schematic diagram of a search result display device provided by an embodiment of the present disclosure is shown;

[0042] Figure 6 A schematic diagram of a computer device provided by an embodiment of the present disclosure is shown. DETAILED DESCRIPTION

[0043] In order to make the purpose, technical scheme and advantages of the embodiments of the present disclosure clearer, the technical scheme 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 only part of the embodiments of the present disclosure, rather than all of the embodiments. The components of the embodiments of the present disclosure generally described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present disclosure provided in the drawings is not intended to limit the scope of the present disclosure for protection, but merely represents the selected embodiments of the present disclosure. Based on the embodiments of the present disclosure, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present disclosure.

[0044] Usually, during the search process, a search term entered may correspond to different search results. For example, when entering "Kung Pao Chicken", it may correspond to both the search results of "How to make Kung Pao Chicken" and the search results of "Which restaurant makes the best Kung Pao Chicken". In this case, the user may prefer one or some search results. When there are many search results corresponding to the search term, how to better meet the user's search needs and better display the search results is an urgent problem to be solved.

[0045] Based on this, an embodiment of the present disclosure proposes a search result display method, including: receiving a search term, wherein the search term corresponds to multiple target search intentions; obtaining a recommended term corresponding to each of the target search intentions, and multimedia information corresponding to each of the recommended terms; wherein the multiple target search intentions include a target search intention determined based on entity update information associated with the search term and consumption data of media information associated with the search term; and displaying the recommended term and preview content of the multimedia information corresponding to each of the recommended terms on a search results page.

[0046] In the search result display method provided by the embodiment of the present disclosure, multiple target search intents may include a target search intent determined based on entity update information associated with the search term and consumption data of media information associated with the search term, and the target search intent may be more in line with the user's actual search intent; further, the recommended terms and their multimedia information under the determined target search intent are more in line with the user's search needs, thereby directly displaying each recommended term and the preview content of its corresponding multimedia information on the search results page, which can improve the convenience of users finding search results that meet their needs.

[0047] The defects existing in the above schemes and the proposed solutions are the results obtained by the inventor after practice and careful research. Therefore, the discovery process of the above problems and the solutions proposed by the present disclosure for the above problems below should be the contributions made by the inventor to the present disclosure during the disclosure process.

[0048] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, further definition and explanation thereof is not required in subsequent drawings.

[0049] To facilitate understanding of this embodiment, a search result display method disclosed in the embodiment of the present disclosure is first introduced in detail. The execution subject of the search result display method provided in the embodiment of the present disclosure is generally a computer device with certain computing capabilities.

[0050] The search result display method provided by the embodiment of the present disclosure is described below by taking the execution subject as a terminal device as an example.

[0051] See also Figure 1 FIG. 1 is a flowchart of a search result display method provided by an embodiment of the present disclosure, wherein the method includes S101 to S103, wherein:

[0052] S101: Receive a search term, where the search term corresponds to multiple target search intents.

[0053] In the disclosed embodiment, the search term may be information input by a user on a search page of a target application, or may be a keyword that can trigger a search in any application page.

[0054] The received search term may include multiple semantic information, that is, the search term may be an ambiguous term. For example, when the search term is "apple", its semantics may include the name of a fruit or the brand name of a mobile phone. Different semantic information may correspond to different search needs, that is, different semantic information may correspond to different search intentions. For example, the target search intention corresponding to the search term "apple" may be to search for multimedia information related to the fruit "apple" or to search for multimedia information related to the brand "apple" of mobile phones. In one embodiment, the multiple target search intentions corresponding to the search term may be determined based on the multiple semantic information corresponding to the search term. Specifically, in response to the existence of multiple semantic information corresponding to the search term, the search dimensions corresponding to the multiple semantic information may be determined, and the search intention of the search term under the search dimension may be determined; then, based on the consumption data corresponding to the multiple search intentions, the target search intention may be determined from the multiple search intentions.

[0055] Here, the search dimensions corresponding to the multiple semantic information may be corresponding to each semantic information. For example, in the above example, when the semantics corresponding to the search word "apple" is the name of a fruit, the search dimensions corresponding to the semantic information may include, for example, search dimensions such as "efficacy", "variety", and "edible method", and further, it can be determined that the search intentions of the search word "apple" under the search dimensions such as "efficacy", "variety", and "edible method" may be respectively searched for "efficacy of apple", "variety of apple", "edible method of apple", etc.; when the semantics corresponding to the search word "apple" is the brand name of a mobile phone, then the search dimensions corresponding to the semantic information may include, for example, search dimensions such as "company" and "evaluation", and further, it can be determined that the search intentions of the search word "apple" under the search dimensions such as "company" and "evaluation" may be searched for "Apple Company", "Apple Evaluation", etc.

[0056] The consumption data corresponding to multiple search intentions can be the consumption data of the associated media information of the search term under multiple search dimensions by each user of the target application. For example, in the above example, when the search term is "apple", the consumption data may include the consumption data of the associated media information of the fruit and the associated media information of this mobile phone by each user of the target application. Among them, the associated media information may include various forms of information such as pictures, videos, and texts; the consumption data may include frequency information, duration information, etc. under various consumption behaviors such as search, view, like, comment, and forward. In one embodiment, according to the consumption data corresponding to multiple search intentions, the search intention with a large number of consumption times under the target consumption behavior indicated in the consumption data can be used as the target search intention. Among them, the target consumption behavior may refer to at least one consumption behavior of search, view, like, comment, and forward. It should be noted here that the consumption data of the user obtained in the embodiment of the present disclosure is obtained after the user's authorization.

[0057] The received search terms may also include search terms with a single semantic meaning and multiple search requirements under the single semantic meaning. For example, when the search term is "Kung Pao Chicken", its semantic meaning may be the name of a dish, and the corresponding search dimensions may include search dimensions such as "production method" and "origin". In one embodiment, in response to the presence of multiple search dimensions that match the semantic information of the search term, the search intent of the search term under multiple search dimensions may be determined.

[0058] For instance, in the above example, when the search term is "Kung Pao Chicken", the search intent for "Kung Pao Chicken" under the search dimension of "production method" is to search for related media information of "production method of Kung Pao Chicken", and the search intent under the search dimension of "origin" is to search for related media information of "origin of Kung Pao Chicken".

[0059] Then, based on the consumption data corresponding to the multiple search intentions, the target search intention can be determined from the multiple search intentions. The process of determining the target search intention from the multiple search intentions based on the consumption data corresponding to the multiple search intentions can be referred to in the previous text and will not be repeated here.

[0060] S102: Obtain the recommended words corresponding to each of the target search intentions, and the multimedia information corresponding to each of the recommended words; wherein the multiple target search intentions include the target search intention determined based on the entity update information associated with the search word and the consumption data of the associated media information of the search word.

[0061] The recommended words corresponding to the target search intent may be words that better meet the user's search needs. The recommended words corresponding to the target search intent may be determined after determining the target search intent corresponding to the search term. In one embodiment, the recommended words corresponding to the target search intent may be generated according to the following steps, namely, the dimensional keywords representing the search dimensions corresponding to the target search intent may be obtained; then, based on the dimensional keywords and the search terms, the recommended words corresponding to the target search intent may be generated.

[0062] Among them, the dimensional keywords may include information representing the search dimension. For instance, in the above example, when the search term is "Kung Pao Chicken", when the corresponding target search intent includes searching for associated media information of the preparation method of "Kung Pao Chicken" and searching for associated media information of the origin of "Kung Pao Chicken", the dimensional keywords corresponding to the above target search intents may be obtained as "preparation method" and "origin", respectively. Then, the dimensional keywords and the search terms may be combined to generate recommended words corresponding to the target search intents, namely, "preparation method of Kung Pao Chicken" and "origin of Kung Pao Chicken".

[0063] In a specific implementation, the target search intent among the multiple target search intents corresponding to the search term may not be determined based on the search term itself, that is, in one implementation, the target search intent among the multiple target search intents may be determined based on the entity update information associated with the search term and the consumption data of the media information associated with the search term. That is, after the entity information associated with the search term is updated, the target search intent corresponding to the search term may be re-determined based on the updated entity information, and the latest consumption data of the media information associated with the search term may be obtained in real time, and the target search intent corresponding to the search term may be re-determined based on the latest consumption data.

[0064] In one embodiment, multiple target search intents may include a target search intent determined according to the following steps: obtaining entity update information associated with a search term, and consumption data of associated media information of the search term; then selecting entity update information that meets preset update conditions, and consumption data that meets preset consumption conditions from the obtained entity update information and consumption data of associated media information; determining the target search intent based on the entity update information that meets the preset update conditions, and the consumption data that meets the preset consumption conditions.

[0065] The acquired entity update information and consumption data of associated media information may be the latest information. The consumption data may be the consumption data of the associated media information of the search term by each user. Here, the preset update condition may be, for example, the latest product release or the latest dynamics within a preset time period. The entity update information may include product update information or status update information. The preset consumption condition may, for example, refer to the frequency information of consumption, the duration information of consumption, the type information of consumption behavior meeting the set threshold, etc.

[0066] In one embodiment, the target search intent among multiple target search intentions may also be determined based on historical consumption data before the search is conducted. Specifically, the multiple target search intentions may also include target search intentions determined according to the following steps: obtaining media information consumption data before receiving the search term; and determining the target search intent based on the media information consumption data.

[0067] Here, the media information consumption data may be the historical consumption data of the user currently searching (the consumption data obtained with the authorization of the user), and the media information consumption data may include the consumed media content, the consumption behavior of each media content, the consumption frequency information, the consumption duration information, etc. The consumption behavior may include searching, viewing, liking, commenting, forwarding, etc.

[0068] S103: Displaying the recommended words and preview contents of the multimedia information corresponding to each of the recommended words on the search result page.

[0069] Here, the multimedia information corresponding to each recommended word may include multiple multimedia resources. In one embodiment, the multiple multimedia resources may be multimedia resources of different genre types. In a specific implementation, multiple genre types corresponding to the search dimension can be determined according to the search dimension corresponding to the recommended word. The genre types corresponding to different search dimensions may be different. One or more genre types may correspond to the same search dimension. Among them, the genre types may include but are not limited to pictures, videos, texts, etc. In practice, for search dimensions that focus on processes and methods, genre types such as videos and texts may be used. For example, the search dimension corresponding to the recommended word "how to make Kung Pao Chicken" is "how to make it". Obviously, the use of a genre type such as video makes it easier to display the content corresponding to the recommended word; for search dimensions that focus on results and appearance, genre types such as pictures may be used. For example, for the recommended word "the appearance of an Apple mobile phone", it is obvious that the use of a genre type such as pictures makes it easier to display the content corresponding to the recommended word.

[0070] Then, for the multiple genre types, target multimedia resources belonging to each genre type are determined respectively as multimedia information corresponding to the preview content displayed on the search result page.

[0071] Here, the target multimedia resource may be a multimedia resource in each genre type that meets the set consumption conditions, for example, a multimedia resource with the largest number of likes.

[0072] In an embodiment of the present disclosure, when there are multiple recommended words, the recommended words can be displayed according to the first preset rule. In one embodiment, displaying the recommended words according to the first preset rule can include displaying each recommended word in order of the usage frequency from large to small, or selecting the recommended words with a usage frequency greater than a set frequency threshold for display. The usage frequency of each recommended word can refer to the usage frequency of the recommended word used when the search is reinitiated after the search word is entered. For example, after the user enters search word A, the usage frequency of recommended word B is 20 times when the search is reinitiated, the usage frequency of recommended word C is 15 times when the search is reinitiated, and the usage frequency of recommended word D is 30 times when the search is reinitiated. At this time, recommended word D can be displayed preferentially.

[0073] For multiple multimedia information under the recommendation word, the multimedia information can be displayed according to the second preset rule. In one embodiment, displaying the multimedia information according to the second preset rule may include displaying the multimedia information in order of ranking from large to small under the preset ranking rule, or displaying the multimedia information in order of ranking greater than a set ranking threshold under the preset sorting factor. Among them, the preset ranking factors may include factors such as relevance, authority, and quality score. Relevance may include the degree of relevance between the multimedia information and the recommendation word; authority may include the popularity of the author of the multimedia information; and quality score may include the exquisiteness of the multimedia content.

[0074] In the disclosed embodiment, the recommended words and the preview content of the multimedia information corresponding to each recommended word can be displayed in the search result page in the form of a media content aggregation card. The media content aggregation card can include multiple sub-cards. Each sub-card can display a recommended word and the preview content of the multimedia information corresponding to the recommended word.

[0075] In one embodiment, only a preset number of sub-cards may be displayed in the search results page. When the number of recommended words is less than or equal to the preset number, all of the sub-cards in the media content aggregation card may be displayed in the search results page. When the number of recommended words is greater than the preset number, the media content aggregation card can switch and display the multiple sub-cards in response to a sliding operation in a preset direction.

[0076] In order to meet the user's demand for in-depth consumption of the displayed preview content, in one embodiment, in response to the user's browsing time for the preview content of any multimedia information reaching a preset time, search guidance information can be displayed in the preview content. The search guidance information can be used to display the new recommended word corresponding to the search initiated based on the recommended word and the preview content of the multimedia information corresponding to the new recommended word after being triggered.

[0077] For example, Figure 2 As shown, after the user enters the search term "Kung Pao Chicken", the search results page displays the recommended term "Kung Pao Chicken's cooking method" and its associated video content 1, and the recommended term "Kung Pao Chicken's origin" and its associated video content 2. In the sub-card displaying the recommended term "Kung Pao Chicken's cooking method", the search guidance information "View more related content" can be displayed. After triggering "View more related content", a new search can be initiated based on "Kung Pao Chicken's cooking method", and the search results page displays, for example, Figure 3 The new recommended words shown in the figure are, “the preparation method and ingredients of Kung Pao Chicken” and the video content 3 associated therewith, and “the home-style method of Kung Pao Chicken” and the video content 3 associated therewith.

[0078] See also Figure 4 , which is a flowchart of another search result display method provided in an embodiment of the present disclosure, which may include the steps of initiating a search, identifying search intent, and displaying search results.

[0079] In the step of initiating a search, the user may enter a search term on the search page of the target application. In some cases, the search term entered may be a search term that can directly determine the search intent, that is, based on the search term itself, the user's search intent can be determined. For example, when a user enters "poet Li Bai's native place", it is obvious that the user's search intent can be determined based on the search term, that is, to search for the poet Li Bai's native place, and the search intent is uniquely determined. In some cases, the search term entered may be a search term that cannot directly determine the search intent, that is, based on the search term itself, the user's search intent cannot be determined. For example, when a user enters "Li Bai", "Li Bai" can correspond to multiple semantic information, namely "poet Li Bai" and "virtual character Li Bai". At this time, based on "Li Bai", it is impossible to determine whether the user's search intent is to search for "poet Li Bai" or "virtual character Li Bai".

[0080] Therefore, in the step of identifying the search intent, it can be determined whether the search intent can be directly determined based on the input search term. In one embodiment, it can be determined whether the search intent can be directly determined based on the semantic information corresponding to the search term. In the case where the semantic information of the search term is one, the search intent can be directly determined; in the case where the semantic information of the search term is multiple, the search intent cannot be directly determined. In one embodiment, in the case where the semantic information corresponding to the search term is one, when the semantic information has multiple search dimensions, the search intent cannot be directly determined. For example, after the user enters "poet Li Bai", the search term can correspond to search dimensions such as "native place", "poetry collection", and "introduction". At this time, it is impossible to directly determine whether the search intent is to search for "poet Li Bai's native place", "poet Li Bai's poetry collection", or "poet Li Bai's introduction". Therefore, further, in the case where the semantic information corresponding to the search term is one, it can also be determined based on the search dimension of the semantic information corresponding to the search term whether the search intent can be directly determined. In the case where the search dimension of the semantic information is one, the search intent can be directly determined; in the case where the search dimension of the semantic information is multiple, the search intent cannot be directly determined.

[0081] Next, in the step of displaying search results, for search terms that can directly determine the search intent, search results that meet the user's search intent can be displayed directly in the primary display area of ​​the search results page based on the determined search intent. It should be explained here that the search results page can be divided into a primary display area and a non-primary display area in the direction from one end of the search results page to the other end, such as Figure 2 and Figure 3 As shown. For example, the search results page can be divided into a primary display area and a non-primary display area from the top to the bottom, that is, the primary display area is located above the non-primary display area. In order to meet other search needs of users, other search results other than the user's search intent can be displayed in the non-primary display area. Here, other search results other than the user's search intent can be randomly generated or generated according to consumption data, and no specific limitation is made here.

[0082] For search terms that cannot directly determine the search intent, the recommended terms corresponding to each target search intent and the preview content of the multimedia information corresponding to each recommended term can be displayed in the search result page according to the process of steps S101 to S103. The process of determining the target search intent, the process of determining the recommended terms corresponding to each target search intent, and the process of determining the preview content of the multimedia information corresponding to each recommended term will not be described in detail here, and the specific description can be found in the previous text.

[0083] Here, the recommended words and the preview content of the multimedia information corresponding to each recommended word can be displayed in the search results page in the form of a media content aggregation card. The media content aggregation card can contain multiple sub-cards. Each sub-card can display a recommended word and the preview content of the multimedia information corresponding to the recommended word. The media content aggregation card can also be displayed in the primary display area of ​​the search results page. By displaying the media content aggregation card in the primary display area of ​​the search results page, users can more conveniently obtain search results that meet their search needs, thereby improving information acquisition efficiency.

[0084] In the non-primary display area of ​​the search result page, other search results related to the multimedia information consumed by the user can be displayed. By displaying other search results related to the multimedia information consumed by the user, the user's in-depth consumption needs can be met.

[0085] Through the search result display method provided by the embodiment of the present disclosure, the target search intent determined based on the entity update information associated with the search term and the consumption data of the media information associated with the search term is more diversified and refined, so that it can be more in line with the user's real search intent; further, the recommended words and their corresponding multimedia information determined according to the target search intent can be more in line with the user's search needs, thereby improving the convenience of users finding search results that meet their needs.

[0086] Those skilled in the art will appreciate that, in the above method of specific implementation, the order in which the steps are written does not imply a strict execution order and does not constitute any limitation on the implementation process. The specific execution order of the steps should be determined by their functions and possible internal logic.

[0087] Based on the same inventive concept, the embodiment of the present disclosure also provides a search result display device corresponding to the search result display method. Since the principle of solving the problem by the device in the embodiment of the present disclosure is similar to the above-mentioned search result display method in the embodiment of the present disclosure, the implementation of the device can refer to the implementation of the method, and the repeated parts will not be repeated.

[0088] Reference Figure 5 , which is a schematic diagram of the architecture of a search result display device provided by an embodiment of the present disclosure, the device comprises: a receiving module 501, an acquisition module 502, and a display module 503; wherein,

[0089] A receiving module 501 is used to receive a search word, where the search word corresponds to multiple target search intentions;

[0090] The acquisition module 502 is used to acquire the recommended words corresponding to each of the target search intents and the multimedia information corresponding to each of the recommended words; wherein the multiple target search intents include the target search intent determined according to the entity update information associated with the search word and the consumption data of the associated media information of the search word;

[0091] The display module 503 is used to display the recommended words and the preview content of the multimedia information corresponding to each of the recommended words on the search result page.

[0092] In an optional implementation, the device further includes: a generation module, configured to generate a recommendation word corresponding to the target search intent; the generation module is specifically configured to:

[0093] Obtaining dimensional keywords representing search dimensions corresponding to the target search intent;

[0094] Based on the dimensional keywords and the search terms, a recommendation term corresponding to the target search intent is generated.

[0095] In an optional implementation, the device further includes: a first determination module, configured to determine a target search intent among the multiple target search intents: the first determination module is specifically configured to:

[0096] Acquire entity update information associated with the search term, and consumption data of media information associated with the search term;

[0097] Selecting entity update information that meets a preset update condition and consumption data that meets a preset consumption condition from the acquired entity update information and the associated media information consumption data;

[0098] The target search intention is determined based on the entity update information that meets the preset update conditions and the consumption data that meets the preset consumption conditions.

[0099] In an optional implementation, the device further includes: a second determination module, configured to determine a target search intent among the multiple target search intents: the second determination module is specifically configured to:

[0100] Acquire media information consumption data before receiving the search term;

[0101] Based on the media information consumption data, the target search intention is determined.

[0102] In an optional implementation manner, the device further includes: a third determining module, configured to:

[0103] In response to the presence of multiple search dimensions that match the semantic information of the search term, determining the search intent of the search term under the multiple search dimensions;

[0104] Based on the consumption data respectively corresponding to the multiple search intentions, the target search intention is determined from the multiple search intentions.

[0105] In an optional implementation manner, the device further includes: a fourth determining module, configured to:

[0106] In response to the existence of multiple types of semantic information corresponding to the search term, determining search dimensions corresponding to the multiple types of semantic information respectively, and determining the search intent of the search term under the search dimensions;

[0107] Based on the consumption data respectively corresponding to the multiple search intentions, the target search intention is determined from the multiple search intentions.

[0108] In an optional implementation manner, the multimedia information includes a plurality of multimedia resources, and the device further includes: a fifth determination module, configured to: determine the multimedia information corresponding to the recommendation word; the fifth determination module is specifically configured to:

[0109] According to the search dimension corresponding to the recommendation word, determining multiple genre types corresponding to the search dimension;

[0110] For the multiple genre types, target multimedia resources belonging to each genre type are determined respectively as multimedia information corresponding to the preview content displayed on the search result page.

[0111] For descriptions of the processing flow of each module in the device and the interaction flow between each module, reference may be made to the relevant descriptions in the above method embodiment, which will not be described in detail here.

[0112] Based on the same technical concept, the embodiment of the present disclosure also provides a computer device. Figure 6 As shown, it is a schematic diagram of the structure of a computer device 600 provided in an embodiment of the present disclosure, including a processor 601, a memory 602, and a bus 603. Among them, the memory 602 is used to store execution instructions, including a memory 6021 and an external memory 6022; the memory 6021 here is also called an internal memory, which is used to temporarily store the operation data in the processor 601, and the data exchanged with the external memory 6022 such as a hard disk. The processor 601 exchanges data with the external memory 6022 through the memory 6021. When the computer device 600 is running, the processor 601 communicates with the memory 602 through the bus 603, so that the processor 601 executes the following instructions:

[0113] Receiving a search term, wherein the search term corresponds to a plurality of target search intents;

[0114] Acquire a recommended word corresponding to each of the target search intents, and multimedia information corresponding to each of the recommended words; wherein the multiple target search intents include a target search intent determined based on entity update information associated with the search word and consumption data of media information associated with the search word;

[0115] The recommended words and the preview content of the multimedia information corresponding to each of the recommended words are displayed on the search result page.

[0116] The present disclosure also provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the search result display method described in the above method embodiment are executed. The storage medium can be a volatile or non-volatile computer-readable storage medium.

[0117] The present disclosure also provides a computer program product that carries a program code. The program code includes instructions that can be used to execute the steps of the search result display method described in the above method embodiment. For details, please refer to the above method embodiment, which will not be repeated here.

[0118] The computer program product may be implemented in hardware, software or a combination thereof. In one optional embodiment, the computer program product is implemented as a computer storage medium. In another optional embodiment, the computer program product is implemented as a software product, such as a software development kit (SDK).

[0119] Those skilled in the art can clearly understand that, for the convenience and simplicity of description, the specific working process of the device described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here. In the several embodiments provided in the present disclosure, it should be understood that the disclosed device and method can be implemented in other ways. The device embodiments described above are merely schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some communication interfaces, and the indirect coupling or communication connection of the device or unit can be electrical, mechanical or other forms.

[0120] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0121] In addition, each functional unit in each embodiment of the present disclosure may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0122] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a non-volatile computer-readable storage medium that is executable by a processor. Based on this understanding, the technical solution of the present disclosure, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present disclosure. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0123] Finally, it should be noted that the above-described embodiments are only specific implementation methods of the present disclosure, which are used to illustrate the technical solutions of the present disclosure, rather than to limit them. The protection scope of the present disclosure is not limited thereto. Although the present disclosure is described in detail with reference to the above-described embodiments, ordinary technicians in the field should understand that any technician familiar with the technical field can still modify the technical solutions recorded in the above-described embodiments within the technical scope disclosed in the present disclosure, or can easily think of changes, or make equivalent replacements for some of the technical features therein; and these modifications, changes or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present disclosure, and should be included in the protection scope of the present disclosure. Therefore, the protection scope of the present disclosure shall be based on the protection scope of the claims.

Claims

1. A search result display method, characterized in that: include: Receiving a search term, wherein the search term corresponds to a plurality of target search intents; Acquire a recommendation word corresponding to each of the target search intentions, and multimedia information corresponding to each of the recommendation words; wherein the multiple target search intentions include a target search intention determined based on entity update information associated with the search word that meets a preset update condition and consumption data of media information associated with the search word that meets a preset consumption condition, wherein the preset update condition includes changes in product update information or status update information within a preset time period, and the preset consumption condition includes frequency information, duration information, or type information of consumption that meets a set threshold; The recommended words and the preview content of the multimedia information corresponding to each of the recommended words are displayed on the search result page.

2. The method according to claim 1, characterized in that: The recommended words corresponding to the target search intent are generated according to the following steps: Obtaining dimensional keywords representing search dimensions corresponding to the target search intent; Based on the dimensional keywords and the search terms, a recommendation term corresponding to the target search intent is generated.

3. The method according to claim 1, characterized in that The multiple target search intentions include target search intentions determined according to the following steps: Acquire entity update information associated with the search term, and consumption data of media information associated with the search term; Selecting entity update information that meets a preset update condition and consumption data that meets a preset consumption condition from the acquired entity update information and the associated media information consumption data; The target search intention is determined based on the entity update information that meets the preset update conditions and the consumption data that meets the preset consumption conditions.

4. The method according to claim 1, characterized in that: The multiple target search intentions include target search intentions determined according to the following steps: Acquire media information consumption data before receiving the search term; Based on the media information consumption data, the target search intention is determined.

5. The method according to claim 1, characterized in that: The determination of the target search intention includes: In response to the presence of multiple search dimensions that match the semantic information of the search term, determining the search intent of the search term under the multiple search dimensions; Based on the consumption data respectively corresponding to the multiple search intentions, the target search intention is determined from the multiple search intentions.

6. The method according to claim 1, characterized in that The determination of the target search intention includes: In response to the existence of multiple types of semantic information corresponding to the search term, determining search dimensions corresponding to the multiple types of semantic information respectively, and determining the search intent of the search term under the search dimensions; Based on the consumption data respectively corresponding to the multiple search intentions, the target search intention is determined from the multiple search intentions.

7. The method according to claim 1, characterized in that The multimedia information includes a plurality of multimedia resources, and the multimedia information corresponding to the recommendation word is determined according to the following steps: According to the search dimension corresponding to the recommendation word, determining multiple genre types corresponding to the search dimension; For the multiple genre types, target multimedia resources belonging to each genre type are determined respectively as multimedia information corresponding to the preview content displayed on the search result page.

8. A search result display device, characterized in that: include: A receiving module, configured to receive a search term, wherein the search term corresponds to a plurality of target search intents; An acquisition module is used to acquire the recommendation words corresponding to each of the target search intentions, and the multimedia information corresponding to each of the recommendation words; wherein the multiple target search intentions include target search intentions determined based on entity update information associated with the search words that meet preset consumption conditions and consumption data of media information associated with the search words that meet preset update conditions, wherein the preset update conditions include changes in product update information or status update information within a preset time period, and the preset consumption conditions include frequency information, duration information or type information of consumption meeting a set threshold; The display module is used to display the recommended words and the preview content of the multimedia information corresponding to each of the recommended words on the search result page.

9. A computer device, characterized in that: include: A processor, a memory and a bus, wherein the memory stores machine-readable instructions executable by the processor, and when the computer device is running, the processor and the memory communicate via the bus, and when the machine-readable instructions are executed by the processor, the steps of the search result display method according to any one of claims 1 to 7 are performed.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the search result display method according to any one of claims 1 to 7 are executed.

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