WO2022252806A1 - 信息处理方法、装置、设备及介质 - Google Patents

信息处理方法、装置、设备及介质 Download PDF

Info

Publication number
WO2022252806A1
WO2022252806A1 PCT/CN2022/085439 CN2022085439W WO2022252806A1 WO 2022252806 A1 WO2022252806 A1 WO 2022252806A1 CN 2022085439 W CN2022085439 W CN 2022085439W WO 2022252806 A1 WO2022252806 A1 WO 2022252806A1
Authority
WO
WIPO (PCT)
Prior art keywords
collection
entity
information
type
target
Prior art date
Application number
PCT/CN2022/085439
Other languages
English (en)
French (fr)
Inventor
李林萌
Original Assignee
北京字节跳动网络技术有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 北京字节跳动网络技术有限公司 filed Critical 北京字节跳动网络技术有限公司
Priority to US18/548,456 priority Critical patent/US20240169000A1/en
Publication of WO2022252806A1 publication Critical patent/WO2022252806A1/zh

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/906—Clustering; Classification
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00—Handling natural language data
    • G06F40/20—Natural language analysis
    • G06F40/279—Recognition of textual entities
    • G06F40/289—Phrasal analysis, e.g. finite state techniques or chunking
    • G06F40/295—Named entity recognition
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/33—Querying
    • G06F16/3331—Query processing
    • G06F16/334—Query execution
    • G06F16/3344—Query execution using natural language analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9535—Search customisation based on user profiles and personalisation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00—Handling natural language data
    • G06F40/20—Natural language analysis
    • G06F40/279—Recognition of textual entities

Definitions

  • the present disclosure relates to the technical field of information processing, for example, to an information processing method, device, device, and medium.
  • an entity can be displayed or a collection of multiple entities with the same characteristics can be displayed to the user, so that the user can understand the entity or the relationship between entities.
  • users when displaying entities or collections, users usually need multiple jumps to fully understand the connection between entities and collections, and cannot intuitively establish the connection between entities and collections.
  • the disclosure provides an information processing method, device, equipment and medium.
  • the present disclosure provides an information processing method, the method comprising:
  • a target entity associated with the collection content is determined.
  • the present disclosure also provides an information processing method, the method comprising:
  • encyclopedia content information of the target entity includes collection information of at least one collection associated with the target entity;
  • the display scene of the encyclopedia content information display the collection information of the at least one collection associated with the target entity.
  • the present disclosure also provides an information processing device, the device comprising:
  • the first-type entity module is configured to obtain a plurality of constituent elements corresponding to the target collection, and determine a first-type entity that satisfies the plurality of constituent elements;
  • a collection content module configured to generate collection content of the target collection based on the multimedia information of the first type of entity
  • the second-type entity module is configured to determine the second-type entity according to the feature information of the target collection
  • An associating module configured to determine a target entity associated with the collection content among the first type of entity and the second type of entity.
  • the present disclosure also provides an information processing device, the device comprising:
  • the entity content module is configured to obtain the encyclopedia content information of the target entity, wherein the encyclopedia content information includes collection information of at least one collection associated with the target entity;
  • the display module is configured to display the collection information of the at least one collection associated with the target entity according to the display scene of the encyclopedia content information.
  • the present disclosure also provides an electronic device, which includes: a processor; a memory configured to store instructions executable by the processor; and the processor is also configured to read the executable instructions from the memory. Execute the instructions, and execute the instructions to implement the above information processing method.
  • the present disclosure also provides a computer-readable storage medium, the storage medium stores a computer program, and the computer program is used to execute the above-mentioned information processing method.
  • FIG. 1 is a schematic flowchart of an information processing method provided by an embodiment of the present disclosure
  • FIG. 2 is a schematic diagram of a determination of constituent elements provided by an embodiment of the present disclosure
  • FIG. 3 is a schematic diagram of determining another component element provided by an embodiment of the present disclosure.
  • FIG. 4 is a schematic diagram of a first type of entity matching provided by an embodiment of the present disclosure.
  • FIG. 5 is a schematic diagram of an entity association provided by an embodiment of the present disclosure.
  • FIG. 6 is a schematic flowchart of another information processing method provided by an embodiment of the present disclosure.
  • FIG. 7 is a schematic flowchart of another information processing method provided by an embodiment of the present disclosure.
  • Fig. 8 is a schematic diagram of a collection display provided by an embodiment of the present disclosure.
  • FIG. 9 is a schematic diagram of another collection display provided by an embodiment of the present disclosure.
  • FIG. 10 is a schematic diagram of yet another collection display provided by an embodiment of the present disclosure.
  • FIG. 11 is a schematic diagram of another collection display provided by an embodiment of the present disclosure.
  • FIG. 12 is a schematic structural diagram of an information processing device provided by an embodiment of the present disclosure.
  • FIG. 13 is a schematic structural diagram of another information processing device provided by an embodiment of the present disclosure.
  • FIG. 14 is a schematic structural diagram of an electronic device provided by an embodiment of the present disclosure.
  • the term “comprise” and its variations are open-ended, ie “including but not limited to”.
  • the term “based on” is “based at least in part on”.
  • the term “one embodiment” means “at least one embodiment”; the term “another embodiment” means “at least one further embodiment”; the term “some embodiments” means “at least some embodiments.” Relevant definitions of other terms will be given in the description below.
  • an embodiment of the present disclosure provides an information processing method, which will be introduced below with reference to the embodiment.
  • FIG. 1 is a schematic flowchart of an information processing method provided by an embodiment of the present disclosure.
  • the method can be executed by an information processing device, where the device can be implemented by software and/or hardware, and generally can be integrated into an electronic device. As shown in Figure 1, the method is applied to the client or server, including:
  • Step 101 Obtain multiple constituent elements corresponding to the target collection, and determine a first-type entity that satisfies the multiple constituent elements.
  • the constituent elements may be element information constituting the collection, for example, keywords under different attribute dimensions constituting the collection title, and the attribute dimension may be the classification direction involved in the collection title.
  • the attribute dimensions of the title of the collection can include height, age, gender, and occupation.
  • the keyword for height is "above 170”
  • the keyword for age is “post-90s”
  • the keyword for gender is “female”
  • the keyword for occupation The key word is "artist”
  • the key words “above 170", “post-90s”, “female” and “artist” under the above different attribute dimensions are the constituent elements.
  • a collection is a collection of multiple entities that satisfy all the constituent elements. Entities can be people, animals, events, natural phenomena, etc.
  • the constituent elements can be input by the user or obtained based on preset rules, and the preset rules can be set according to actual conditions.
  • the constituent elements can be determined according to hot content or user interaction content.
  • multiple keywords can be extracted from the hot content, and several of them can be selected as constituent elements. For example, assuming hot The content is the Golden Horse Award, and key words such as "heroine", “actor”, “post-90s” and "28th” can be extracted from the pictures and videos related to the Golden Horse Award as constituent elements.
  • the interactive content can include search information and comment information, and multiple keywords can be extracted from the interactive content, and several of them can be selected as the component elements.
  • the information is "the post-90s winners of the Golden Horse Award", and “Golden Horse Award”, "post-90s” and “winners” can be extracted from the search information as constituent elements.
  • the manner of determining the above-mentioned constituent elements is only an example, and not the only limitation.
  • determining the first type of entity satisfying the plurality of constituent elements includes: matching the plurality of constituent elements with the attribute information of the plurality of entities in the entity database, and determining the first type of entity according to the first matching result.
  • the entity database can be a pre-established database including multiple entities.
  • the attribute information of an entity refers to the characteristic information used to characterize the entity in different attribute dimensions.
  • the attribute information of a person entity can include the person's height, age, gender and occupation Feature information under the attribute dimension.
  • the first type of entity may include one or more entities, and this embodiment does not limit the number of entities included in the first type of entity.
  • the server After the server obtains multiple constituent elements of the target collection, it can match the multiple constituent elements with the attribute information of multiple entities in the entity database, that is, match the multiple constituent elements with the information under the corresponding attribute dimension in the attribute information , if one piece of attribute information includes a constituent element, it is determined that the matching is successful, and then the entities corresponding to the multiple pieces of attribute information that are successfully matched can be determined, and the first matching result includes the successfully matched entities. Afterwards, the entities that are successfully matched can be determined as the first type of entities.
  • determining the first type of entity according to the first matching result includes: sorting the successfully matched entities according to the interaction data, and determining a first preset number of successful matching entities ranked first as the first type of entity.
  • the interaction data refers to the interactive operation data between the user and the multimedia content related to the introduced entity.
  • the interaction data may include the amount of views, clicks, and comments.
  • the successfully matched entities may be sorted according to the interaction data, and a first preset number of successfully matched entities ranked first are determined as the first type of entities.
  • the first preset number may be determined according to actual conditions, for example, the first preset number may be 100, and the top 100 entities that are successfully matched are determined as the first type of entities.
  • FIG. 2 is a schematic diagram of determining a component element provided by an embodiment of the present disclosure
  • FIG. 3 is a schematic diagram of determining another component element provided by an embodiment of the present disclosure.
  • the content of the template in the figure includes It focuses on the different attribute dimensions under the template.
  • the attribute dimensions included in the template "artist" include occupation, nationality, gender, place of birth, date of birth, date of death, height, and ethnicity as shown in Figure 3.
  • the user can select the template “artist” in Figure 2, and then enter “star”, “male” and “below 170” respectively under the attribute dimensions occupation, gender, and height in Figure 3, and then the constituent elements can be determined Including “star”, “male” and “under 170”, the title “male star under 170” shown in Figure 3 can be generated and displayed after determining the constituent elements.
  • Figure 2 and Figure 3 can be the pages in the content candidate tool provided by the client, the client obtains keywords under different attribute dimensions input by the user through the pages in Figure 2 and Figure 3, and then sends the keywords to the server , the server determines keywords under different attribute dimensions as constituent elements of the collection.
  • FIG. 4 is a schematic diagram of a first-type entity matching provided by an embodiment of the present disclosure.
  • Figure 3 shows the successfully matched stars.
  • the screening results in Figure 3 include 100 successfully matched stars. These 100 successfully matched stars can be used as First class entities.
  • the top 100 entities in terms of page views can be selected as the first type of entities.
  • Figure 4 shows the 100 matching entities in Figure 3 Twenty-three stars selected from among the successful stars constitute the first category of entities.
  • both Figure 3 and Figure 4 support manual deletion of added entities and addition of new entities.
  • Step 102 generating collection content of the target collection based on the multimedia information of the first type of entity.
  • the multimedia information of the entity refers to various types of information corresponding to the entity, such as encyclopedias, pictures, texts, and videos. This embodiment does not limit the types of the multimedia information of the entity.
  • the collection content of the target collection may include the introduction information of each entity in the target collection, and the introduction information of each entity may match the constituent elements of the above collection.
  • the first type of entity after determining the first type of entity that satisfies multiple constituent elements, for each entity in the first type of entity, according to the identity of the entity and the attribute dimension of the multiple constituent elements, the first type The multimedia information of the entity is searched, and the multimedia information of the entity under the attribute dimension where the multiple constituent elements are located is determined as the introduction information of the entity.
  • Step 103 Determine the second type of entity according to the feature information of the target collection.
  • the second type of entity is a large-scale entity related to the characteristics of the target collection, which is different from the above-mentioned first type of entity.
  • the feature information of the target collection refers to key representative information extracted based on the collection content of the target collection, which can characterize the characteristics of the target collection.
  • determining the second type of entity according to the characteristic information of the target collection includes: extracting multiple keywords in the collection content of the target collection as characteristic information, wherein the collection content includes the introduction information of each entity in the target collection ; Match multiple keywords with attribute information of multiple entities in the entity database, and determine a second type of entity according to the second matching result; wherein, the attribute information of the second type of entity matches at least one keyword.
  • multiple keywords can be extracted as feature information.
  • This embodiment does not limit the extraction method.
  • the introduction information of each entity in the target collection can be segmented, and the word with the largest number of occurrences can be determined as the key. word.
  • multiple keywords can be matched with the attribute information of multiple entities in the entity database, and the entity whose matching degree with at least one keyword is greater than the set threshold is determined as the entity that is successfully matched, and the entity that is successfully matched is determined as the second class entity.
  • the attribute information of the second type of entity matches at least one keyword. Exemplarily, assuming that the feature information of the target collection is "Hundred Flowers Award" and "female artist", entities that successfully match "Hundred Flowers Award” and entities that successfully match "female artist” can be determined as the second type of entities.
  • Step 104 among the first type of entity and the second type of entity, determine the target entity associated with the collection content.
  • Determining the target entity associated with the collection content can be an entity determined to have part of the same or similar meanings with the collection content of the target collection. After the target entity is determined, the associated collection can be displayed while displaying the target entity, which strengthens the The connection between entities and collections shortens the path for users to consume collections.
  • determining the target entity associated with the content of the collection may include: deduplicating the first type of entity and the second type of entity to obtain a set of candidate entities; based on According to the attribute information of each first candidate entity in the candidate entity set, classify each first candidate entity to obtain multiple candidate entity subsets; A preset number of second candidate entities are selected from among, and the second candidate entity is determined as the target entity.
  • the first type of entity and the second type of entity can be deduplicated, and duplicate entities can be deleted to obtain a candidate entity set, which can include multiple The first candidate entity.
  • multiple first candidate entities may be classified according to the attribute information of each first candidate entity in the candidate entity set to obtain a multi-category candidate entity subset.
  • This embodiment does not limit the classification method of the first candidate entity, for example, a clustering algorithm may be used for classification.
  • a preset number of second candidate entities are extracted according to the category features of each type of candidate entity subset, and the second candidate entities are target entities.
  • the category feature refers to the set feature of each type of candidate entity subset, that is, the characteristics of multiple first candidate entities in each type of candidate entity subset.
  • the preset number of different candidate entity subsets can be set based on the category feature, for example For the candidate entity subsets whose category features are person and event respectively, the preset number may be different.
  • the server may also directly determine the first type of entity and the second type of entity as the target entity associated with the collection content of the target collection.
  • the first type of entity and the second type of entity include 120 entities in total
  • 100 entities are obtained as the first candidate entity to form a candidate entity set
  • 10 entities can be obtained candidate entity subsets, each of which includes 10 first candidate entities
  • the extracted first candidate entities are called second candidate entities
  • the number of all second candidate entities may be less than 100 or equal to 100
  • the second candidate entity is determined as the target entity associated with the target collection content.
  • Fig. 5 is a schematic diagram of an entity association provided by an embodiment of the present disclosure. As shown in Fig. 5, taking the encyclopedia collection as an example, the figure shows the target entity associated with the encyclopedia collection "2020 TV Show Little Flowers", which includes 23 stars.
  • FIG. 6 is a schematic flowchart of another information processing method provided by an embodiment of the present disclosure.
  • the figure represents the process of determining the entries associated with the collection content of an encyclopedia collection.
  • the process can include: creating/editing a collection; adding basic information of a collection, that is, obtaining multiple constituent elements of an encyclopedia collection; adding an entry, the entry at this time is the first type of entry that is determined to meet multiple constituent elements; judging whether it is needed Content candidates, if content candidates are required, enter the basic information attribute screening and add, that is, add entries in a semi-automatic way, match multiple constituent elements with the attribute information of multiple entities in the entity database, and determine the first type of words Article, followed by the associated entry.
  • the above process of associating entries may include: determining the second type of entry according to the feature information of the encyclopedia collection, and determining the target associated with the collection content of the encyclopedia collection according to the first type of entry, the second type of entry and preset rules entry, the preset rules can include: the first type of entry is automatically used as the target entry; the change of the first type of entry is associated with the target entry; the target entry is changed, the first type of entry remains unchanged; When the second type of entry is edited, the target entry changes the incremental data; the first type of entry and the second entry are deduplicated, classified and extracted.
  • the information processing solution provided by the embodiments of the present disclosure can determine the first type of entity, the collection content of the target collection, and the second type of entity based on the constituent elements of the target collection, and then determine the content of the first type of entity and the second entity and the collection content Associated entities enable the client to display associated collections when displaying entities, which can help users establish the connection between entities and collections more efficiently and intuitively, strengthen the connection between entities and collections, and shorten the path for users to consume collections. It better satisfies users' needs for exploring and discovering entity-related content, improves the diversity and richness of collections and entity displays, and improves users' content browsing effect.
  • FIG. 7 is a schematic flowchart of another information processing method provided by an embodiment of the present disclosure.
  • the method can be executed by an information processing device, where the device can be implemented by software and/or hardware, and generally can be integrated into an electronic device. As shown in Figure 7, this method is applied to the client, including:
  • Step 201 Obtain encyclopedia content information of a target entity, wherein the encyclopedia content information includes collection information of at least one collection associated with the target entity.
  • Encyclopedia content information can be a general term for the encyclopedia-related information of the target entity.
  • the encyclopedia content information can include the entity content of the target entity and the collection information of at least one collection associated with the target entity. The method of determining the relationship between the target entity and the collection is as above It is described in an embodiment and will not be described here.
  • the collection information may include title information of the collection and attribute information of each entity in the collection, and the attribute information of each entity matches the title information of the collection.
  • the attribute information of the entity refers to a variety of information related to the content of the entity.
  • the attribute information of the entity may include the entity name and feature text matching the core words in the title information of the collection.
  • the title information of the collection may be information determined according to the constituent elements of the collection.
  • the core words in the title information of the collection refer to words obtained by segmenting the title information of the collection.
  • the feature text that matches the core word can be understood as the text associated with each entity and the title information of the collection, and the feature text can include one or more. Height two feature text. Since the attribute information of the entity matches the title information of the collection, the correlation between the entity and the title of the collection is enhanced, and it can help users understand the content of the collection and the characteristics of each entity.
  • the encyclopedia content information of the target entity corresponding to the trigger operation can be obtained.
  • the preset trigger operation can be A click on a target entity triggers an action, a search on a search term triggers an action, etc.
  • Step 202 according to the display scene of the encyclopedia content information, display the collection information of at least one collection associated with the target entity.
  • Display scenarios can include the scenario of collective display under the encyclopedia details page, the scenario of collective display for search terms, and the scenario of collective display on the recommendation stream page. Based on the characteristics and purposes of different display scenarios, different collection display methods and contents can be set in different display scenarios to achieve different display effects and meet users' consumption needs for collections in different scenarios.
  • the display scene of the encyclopedia content information display the collection information of at least one collection associated with the target entity, including: when the display scene is the encyclopedia details display scene, display at least one collection in the form of a card in the collection display area of the encyclopedia details page The collection information; wherein, the collection information includes the title information of the collection and the attribute information of the first preset number of entities in the collection.
  • the encyclopedia details scene refers to the display scene for encyclopedia knowledge
  • the encyclopedia details page refers to the page used to display encyclopedia information.
  • the display scene is the encyclopedia details display scene
  • the title information of at least one collection and the first preset in the collection can be displayed in the form of cards in the collection display area of the encyclopedia details page
  • the attribute information of the quantity entity can be displayed.
  • the collection display area refers to the area set on the encyclopedia details page for displaying collections. Multiple cards can be set in the collection display area, and each card corresponds to a collection.
  • the first preset number can be set according to the actual situation.
  • the first preset number can be the sum of the numbers of all entities in the collection, or the number of some entities.
  • the first preset number is greater than or equal to two, that is, when the number of entities displayed in the collection is at least two, this embodiment does not limit the arrangement of at least two entities, which may be arranged vertically or horizontally. And it can support sliding to view entities that are not displayed in the current interface.
  • Each card can slide along a preset direction, and the preset direction is determined according to actual conditions, for example, the preset direction can be horizontal or vertical.
  • FIG. 8 is a schematic diagram of a collection display provided by an embodiment of the present disclosure; as shown in FIG. 8 , the encyclopedia details page of the entity "Star A" is shown in the figure, and the encyclopedia details page of the entity is displayed.
  • the content of the entity includes the picture, personal information, introduction, participating works, related characters, character experience and related collections of "Star A" in the picture.
  • the participating works may include Participating in movies, TV dramas and cross talk works in the picture.
  • the related collection refers to the encyclopedia collection associated with the entry, and the number can be multiple.
  • the figure shows an exemplary card of an encyclopedia collection.
  • the figure shows an example of two entities in the encyclopedia collection.
  • the cards include The title of the collection is "Inventory of those high-quality actors who graduated from prestigious schools”. The card also shows the attribute information of two entities, "Star A” and "Star B". This collection includes 24 entities. Click “View More” Or swipe on the card to view more entities, and each entity includes feature text matching the title of the collection, such as "School A” and "School B” in the figure.
  • the display scene of the encyclopedia content information display the collection information of at least one collection associated with the target entity, including: when the display scene is a search result display scene or a recommendation information display scene, a card is displayed on the search result page or recommendation information page form to display the title information of at least one collection.
  • the search result display scene refers to the scene where the search term entered by the user includes an entity, and the collection information associated with the entity is displayed when the entity is displayed.
  • the search result page refers to the page displaying the entity and collection information associated with the search term.
  • the recommendation information display scene refers to the display scene where the collection is distributed to the recommendation stream when distributing all collections, and the recommendation information page refers to the page used to display recommendation information and collections.
  • the title information of at least one collection associated with the target entity can be displayed on the search result page in the form of a card, wherein the search result includes the target entity.
  • Multiple cards can be set on the search result page, and each card can display the title information of a collection.
  • FIG. 9 is a schematic diagram of another collection display provided by an embodiment of the present disclosure.
  • FIG. 9 shows a search result page, the search word is "star C", and the search result page shows "star C"
  • An entity, and related collections associated with this entity, the related collections exemplarily display the title information of three collections, including "those high-quality singers who graduated from prestigious schools”, “excellent singers who won the Golden Melody Award”, " talent show singer", the title information of each collection is displayed in a card.
  • the title information of at least one collection associated with the target entity can be displayed on the recommendation information page in the form of a card, wherein the recommendation information includes the target entity Relevant information, so that users can quickly browse related collection information in the recommended scenario.
  • Multiple cards can be set on the recommendation information page, and each card can display the title information of a collection.
  • the recommended information page may also display attribute information of at least one entity in the collection.
  • FIG. 10 is a schematic diagram of yet another collection display provided by an embodiment of the present disclosure.
  • a recommended information page is shown, and the first recommended information in the recommended information page is the related information, and then exemplarily shows three collection cards associated with "Star Ding", each of which displays the information of one collection, the first and second cards only display the title information of the collection, and the third A card shows the title information of the collection and the attribute information of the two entities.
  • the collections associated with entities can be displayed in different forms and contents, so as to achieve different display effects and meet the consumption needs of users for collections in different scenarios. It satisfies the user's exploration and discovery needs for collections well.
  • the information processing solution provided by the embodiments of the present disclosure acquires the encyclopedia content information of the target entity, wherein the encyclopedia content information includes the collection information of at least one collection associated with the target entity; according to the display scene of the encyclopedia content information, at least one of the encyclopedia content information associated with the target entity is displayed. Collection information for the collection.
  • the collection associated with the entity can be displayed, which strengthens the connection between the entity and the collection, shortens the path for the user to consume the collection, and can better meet the user's needs for exploring and discovering the content related to the entity. Improve the diversity and richness of collections and entity displays, thereby improving the user's content browsing effect.
  • the information processing method may further include: receiving a trigger operation on at least one target collection in the collection; displaying the title information of the target collection and the attributes of each entity in the target collection in the first display area of the collection details page information.
  • the trigger operation refers to any operation for displaying the target collection. This embodiment does not limit the trigger operation, for example, it may be a click operation on the target collection.
  • the collection details page refers to the page used to display all relevant information of the collection.
  • all collection information of the target collection can be displayed in the first display area of the collection details page, including the title information of the target collection and the target collection Attribute information for each entity in .
  • the aforementioned preset information can be set according to actual conditions.
  • the preset information can be the title or pictures of the target collection, and the preset information is not limited in this embodiment.
  • FIG. 11 is a schematic diagram of yet another collection display provided by an embodiment of the present disclosure.
  • a collection details page is shown.
  • the encyclopedia collection the picture also shows the introduction information of the encyclopedia collection "Is there really a master among the stars?
  • the encyclopedia collection includes 24 entries, and the figure shows 5 entries for example, each entry includes information about a star, and the attribute information corresponding to each entry is the graduate school in the figure School, for example, for the first entry, a picture of celebrity A, a profile of "venue Chinese actor” and attribute information "School A" matching the title of the collection are displayed.
  • the information processing method may further include: displaying title information and/or title information of other collections in the multiple collections except the target collection in the second display area of the collection details page Attribute information of a second preset number of entities in the other set.
  • the second display area is an area set on the collection details page that is different from the above-mentioned first display area.
  • the collection information of other collections in the multiple collections other than the target collection can be displayed in the second display area of the collection details page, for example, the title information of other collections and/or the other collections can be displayed.
  • the attribute information of the second preset number of entities in the collection can be determined according to the actual situation.
  • the second preset number can be all or part of the number of entities.
  • the second preset number Quantity is not limited.
  • the information of other related collections can also be displayed, so that users can intuitively understand the correlation between different collections, and help users more efficiently establish the relationship between different collections.
  • Contact which can attract users' clicks and improve the experience effect of the collection.
  • FIG. 12 is a schematic structural diagram of an information processing device provided by an embodiment of the present disclosure.
  • the device can be implemented by software and/or hardware, and generally can be integrated into an electronic device. As shown in Figure 12, the device includes:
  • the first-type entity module 301 is configured to obtain a plurality of constituent elements corresponding to the target collection, and determine a first-type entity that satisfies the plurality of constituent elements;
  • the collection content module 302 is configured to be based on the multimedia information of the first-type entity Generate the collection content of the target collection;
  • the second-type entity module 303 is configured to determine a second-type entity according to the feature information of the target collection;
  • the association module 304 is configured to combine the first-type entity and the second-type entity Among the class entities, determine the target entity associated with the collection content.
  • the first-type entity module 301 is configured to determine the first-type entity that satisfies the multiple constituent elements in the following manner:
  • the multiple constituent elements are matched with attribute information of multiple entities in the entity database, and the first type of entity is determined according to a first matching result.
  • the first-type entity module 301 is configured to determine the first-type entity according to the first matching result in the following manner:
  • the entities that are successfully matched are sorted according to the interaction data, and a first preset number of entities that are successfully matched are determined as the first type of entities.
  • the second type entity module 303 is set to:
  • association module 304 is set to:
  • the information processing device provided in the embodiments of the present disclosure can execute the information processing method provided in any embodiment of the present disclosure, and has corresponding functional modules and effects for executing the method.
  • FIG. 13 is a schematic structural diagram of another information processing device provided by an embodiment of the present disclosure.
  • the device can be implemented by software and/or hardware, and can generally be integrated into an electronic device. As shown in Figure 13, the device includes:
  • the entity content module 401 is configured to obtain the encyclopedia content information of the target entity, wherein the encyclopedia content information includes collection information of at least one collection associated with the target entity; the display module 402 is configured to display the encyclopedia content information according to the encyclopedia content information A scene, displaying collection information of the at least one collection associated with the target entity.
  • the collection information includes title information of the collection and attribute information of each entity in the collection, and the attribute information of each entity matches the title information of the collection.
  • the display module 402 is set to:
  • the collection information of the at least one collection is displayed in the form of a card in the collection display area of the encyclopedia details page; wherein, the collection information includes the title information of the collection and the first Property information for a preset number of entities.
  • the display module 402 is set to:
  • the title information of the at least one collection is displayed in the form of a card on the search result page or the recommendation information page.
  • the device also includes a collection details module, which is set to:
  • Receiving a trigger operation on a target collection in the at least one collection displaying title information of the target collection and attribute information of each entity in the target collection in a first display area of the collection details page.
  • the collection details module is set to:
  • title information of other collections in the plurality of collections except the target collection and/or attribute information of a second preset number of entities in the other collections are displayed.
  • the information processing device provided in the embodiments of the present disclosure can execute the information processing method provided in any embodiment of the present disclosure, and has corresponding functional modules and effects for executing the method.
  • An embodiment of the present disclosure provides a computer program product, including a computer program/instruction, and when the computer program/instruction is executed by a processor, the information processing method provided by any embodiment of the present disclosure is implemented.
  • FIG. 14 is a schematic structural diagram of an electronic device provided by an embodiment of the present disclosure.
  • the electronic device 500 in the embodiment of the present disclosure may include but not limited to mobile phones, notebook computers, digital broadcast receivers, personal digital assistants (Personal Digital Assistant, PDA), tablet computers (PAD), portable multimedia players (Portable Media Player, PMP), mobile terminals such as vehicle-mounted terminals (eg, vehicle-mounted navigation terminals), and fixed terminals such as digital televisions (Television, TV), desktop computers, and the like.
  • PDA Personal Digital Assistant
  • PMP portable multimedia players
  • mobile terminals such as vehicle-mounted terminals (eg, vehicle-mounted navigation terminals)
  • fixed terminals such as digital televisions (Television, TV), desktop computers, and the like.
  • the electronic device shown in FIG. 14 is only an example, and should not limit the functions and scope of use of the embodiments of the present disclosure.
  • an electronic device 500 may include a processing device (such as a central processing unit, a graphics processing unit, etc.) Various appropriate actions and processes are performed by a program loaded into a random access memory (Random Access Memory, RAM) 503 by 508 . In the RAM 503, various programs and data necessary for the operation of the electronic device 500 are also stored.
  • the processing device 501, ROM 502, and RAM 503 are connected to each other through a bus 504.
  • An input/output (Input/Output, I/O) interface 505 is also connected to the bus 504 .
  • 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.; including, for example, a liquid crystal display (Liquid Crystal Display, LCD) , an output device 507 such as 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 means 509 may allow the electronic device 500 to perform wireless or wired communication with other devices to exchange data.
  • FIG. 14 shows electronic device 500 having various means, it is not required to implement or possess all of the means shown. More or fewer means may alternatively be implemented or provided.
  • embodiments of the present disclosure include a computer program product, which includes a computer program carried on a non-transitory computer readable medium, where the computer program includes program code for executing the method shown in the flowchart.
  • the computer program may be downloaded and installed from a network via communication means 509, or from storage means 508, or from ROM 502.
  • the processing device 501 When the computer program is executed by the processing device 501, the above-mentioned functions defined in the information processing method of the embodiment of the present disclosure are executed.
  • 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 above two.
  • a computer readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof.
  • Examples of computer readable storage media may include, but are not limited to: electrical connections with one or more wires, portable computer disks, hard disks, RAM, ROM, Erasable Programmable Read-Only Memory (EPROM) or flash memory), optical fiber, portable compact disk read-only memory (Compact Disc Read-Only Memory, CD-ROM), optical storage device, magnetic storage device, or any suitable combination of the above.
  • 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, apparatus, or device.
  • a computer-readable signal medium may include a data signal in baseband or propagated as part of a carrier wave carrying computer-readable program code therein. Such propagated data signals may take many forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the foregoing.
  • a computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, which can transmit, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device .
  • the program code contained on the computer readable medium can be transmitted by any appropriate medium, including but not limited to: electric wire, optical cable, radio frequency (Radio Frequency, RF), etc., or any suitable combination of the above.
  • the client and the server can communicate using any currently known or future network protocols such as Hypertext Transfer Protocol (HyperText Transfer Protocol, HTTP), and can communicate with digital data in any form or medium
  • the communication eg, communication network
  • Examples of communication networks include local area networks (Local Area Network, LAN), wide area networks (Wide Area Network, WAN), internetworks (e.g., the Internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently existing networks that are known or developed in the future.
  • the above-mentioned computer-readable medium may be included in the above-mentioned electronic device, or may exist independently without being incorporated into the electronic device.
  • the above-mentioned computer-readable medium carries one or more programs, and when the one or more programs are executed by the electronic device, the electronic device: acquires multiple constituent elements corresponding to the target collection, and determines that the multiple constituent elements are satisfied the first type of entity; generate the collection content of the target collection based on the multimedia information of the first type of entity; determine the second type of entity according to the characteristic information of the target collection; In the second type of entity, the target entity associated with the collection content is determined.
  • the above-mentioned computer-readable medium carries one or more programs, and when the above-mentioned one or more programs are executed by the electronic device, the electronic device: acquires the encyclopedia content information of the target entity, wherein the encyclopedia content information includes Collection information of at least one collection associated with the target entity; displaying collection information of the at least one collection associated with the target entity according to the presentation scene of the encyclopedia content information.
  • Computer program code for carrying out operations of the present disclosure may be written in one or more programming languages, or combinations thereof, including but not limited to object-oriented programming languages—such as Java, Smalltalk, C++, and Includes conventional procedural programming languages - such as the "C" language or similar programming languages.
  • the program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server.
  • the remote computer can be connected to the user computer through any kind of network, including a LAN or WAN, or it can be connected to an external computer (eg via the Internet using an Internet Service Provider).
  • each block in a flowchart or block diagram may represent a module, program segment, or portion of code that contains one or more logical functions for implementing specified executable instructions.
  • the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or they may sometimes be executed in the reverse order, depending upon the functionality involved.
  • each block of the block diagrams and/or flowchart illustrations, and combinations of blocks in the block diagrams and/or flowchart illustrations can be implemented by a dedicated hardware-based system that performs the specified functions or operations , or may be implemented by a combination of dedicated hardware and computer instructions.
  • the units involved in the embodiments described in the present disclosure may be implemented by software or by hardware. Wherein, the name of the unit does not constitute a limitation of the unit itself in one case.
  • exemplary types of hardware logic components include: Field Programmable Gate Arrays (Field Programmable Gate Arrays, FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (Application Specific Standard Parts, ASSP), System on Chip (System on Chip, SOC), Complex Programmable Logic Device (Complex Programmable Logic Device, CPLD) and so on.
  • a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device.
  • a machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium.
  • a machine-readable medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. Examples of machine-readable storage media would include one or more wire-based electrical connections, portable computer disks, hard drives, RAM, ROM, EPROM or flash memory, optical fibers, CD-ROMs, optical storage devices, magnetic storage devices, or Any suitable combination of the above.
  • the present disclosure provides an information processing method, including:
  • a target entity associated with the collection content is determined.
  • the determination of the first type of entities satisfying the multiple constituent elements includes:
  • the multiple constituent elements are matched with attribute information of multiple entities in the entity database, and the first type of entity is determined according to a first matching result.
  • the determining the first type of entity according to the first matching result includes:
  • the entities that are successfully matched are sorted according to the interaction data, and a first preset number of entities that are successfully matched are determined as the first type of entities.
  • the determining the second type of entity according to the characteristic information of the target collection includes:
  • the attribute information of the second type of entity is related to at least one of the key words match.
  • the determining the target entity associated with the collection content among the first type of entity and the second type of entity includes :
  • the present disclosure provides an information processing method, including:
  • encyclopedia content information of the target entity includes collection information of at least one collection associated with the target entity;
  • the display scene of the encyclopedia content information display the collection information of the at least one collection associated with the target entity.
  • the collection information includes title information of the collection and attribute information of each entity in the collection, and the attribute information of each entity is related to the The title information of the collection matches.
  • displaying the collection information of at least one collection associated with the target entity according to the display scene of the encyclopedia content information includes:
  • the collection information of the at least one collection is displayed in the form of a card in the collection display area of the encyclopedia details page; wherein, the collection information includes the title information of the collection and the first Property information for a preset number of entities.
  • the collection information of at least one collection associated with the target entity is displayed, including:
  • the title information of the at least one collection is displayed in the form of a card on the search result page or the recommendation information page.
  • the information processing method provided in the present disclosure further includes:
  • the title information of the target collection and the attribute information of each entity in the target collection are displayed in the first display area of the collection details page.
  • the method when the number of collections is multiple, the method further includes:
  • title information of other collections in the plurality of collections except the target collection and/or attribute information of a second preset number of entities in the other collections are displayed.
  • the present disclosure provides an information processing device, including:
  • the first-type entity module is configured to obtain a plurality of constituent elements corresponding to the target collection, and determine a first-type entity that satisfies the plurality of constituent elements;
  • a collection content module configured to generate collection content of the target collection based on the multimedia information of the first type of entity
  • the second-type entity module is configured to determine the second-type entity according to the feature information of the target collection
  • An associating module configured to determine a target entity associated with the collection content among the first type of entity and the second type of entity.
  • the first-type entity module is configured to determine a first-type entity that satisfies the plurality of constituent elements in the following manner:
  • the first-type entity module is configured to determine the first-type entity according to the first matching result in the following manner:
  • the entities that are successfully matched are sorted according to the interaction data, and a first preset number of entities that are successfully matched are determined as the first type of entities.
  • the second type of entity module is set to:
  • the association module is set to:
  • the present disclosure provides an information processing device, including:
  • the entity content module is configured to obtain the encyclopedia content information of the target entity, wherein the encyclopedia content information includes collection information of at least one collection associated with the target entity;
  • the display module is configured to display the collection information of the at least one collection associated with the target entity according to the display scene of the encyclopedia content information.
  • the collection information includes title information of the collection and attribute information of each entity in the collection, and the attribute information of each entity is related to the The title information of the collection matches.
  • the display module is set to:
  • the collection information of the at least one collection is displayed in the form of a card in the collection display area of the encyclopedia details page; wherein, the collection information includes the title information of the collection and the first Property information for a preset number of entities.
  • the display module is set to:
  • the title information of the at least one collection is displayed in the form of a card on the search result page or the recommendation information page.
  • the device further includes a collection details module, which is set to:
  • the title information of the target collection and the attribute information of each entity in the target collection are displayed in the first display area of the collection details page.
  • the collection details module is set to:
  • title information of other collections in the plurality of collections except the target collection and/or attribute information of a second preset number of entities in the other collections are displayed.
  • the present disclosure provides an electronic device, including:
  • the processor is configured to read the executable instructions from the memory, and execute the instructions to implement any one of the information processing methods provided in the present disclosure.
  • the present disclosure provides a computer-readable storage medium, the storage medium stores a computer program, and the computer program is used to execute any of the information provided in the present disclosure Approach.

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Databases & Information Systems (AREA)
  • Artificial Intelligence (AREA)
  • Computational Linguistics (AREA)
  • Data Mining & Analysis (AREA)
  • Health & Medical Sciences (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • General Health & Medical Sciences (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • User Interface Of Digital Computer (AREA)

Abstract

本文公开一种信息处理方法、装置、设备及介质，该信息处理方法包括：获取目标合集对应的多个构成要素，确定满足所述多个构成要素的第一类实体；基于所述第一类实体的多媒体信息生成所述目标合集的合集内容；根据所述目标合集的特征信息确定第二类实体；在所述第一类实体和所述第二类实体中，确定与所述合集内容关联的目标实体。

Description

信息处理方法、装置、设备及介质
本申请要求在2021年05月31日提交中国专利局、申请号为202110601192.1的中国专利申请的优先权，该申请的全部内容通过引用结合在本申请中。
技术领域
本公开涉及信息处理技术领域，例如涉及一种信息处理方法、装置、设备及介质。
背景技术
随着互联网技术的快速发展，人们可以从互联网中方便、快捷地了解多类知识。
在一些内容消费场景下，可以展示实体或者将具有相同特征的多个实体组成合集展示给用户，以供用户了解实体或实体间的联系。然而，在展示实体或合集时用户通常需要多次跳转才能充分了解实体与合集之间的联系，无法直观地建立实体与合集之间的联系。
发明内容
本公开提供了一种信息处理方法、装置、设备及介质。
本公开提供了一种信息处理方法，所述方法包括：
获取目标合集对应的多个构成要素，确定满足所述多个构成要素的第一类实体；
基于所述第一类实体的多媒体信息生成所述目标合集的合集内容；
根据所述目标合集的特征信息确定第二类实体；
在所述第一类实体和所述第二类实体中，确定与所述合集内容关联的目标实体。
本公开还提供了一种信息处理方法，所述方法包括：
获取目标实体的百科内容信息，其中，所述百科内容信息包括所述目标实体关联的至少一个合集的合集信息；
根据所述百科内容信息的展示场景，展示所述目标实体关联的所述至少一个合集的合集信息。
本公开还提供了一种信息处理装置，所述装置包括：
第一类实体模块，设置为获取目标合集对应的多个构成要素，确定满足所述多个构成要素的第一类实体；
合集内容模块，设置为基于所述第一类实体的多媒体信息生成所述目标合集的合集内容；
第二类实体模块，设置为根据所述目标合集的特征信息确定第二类实体；
关联模块，设置为在所述第一类实体和所述第二类实体中，确定与所述合集内容关联的目标实体。
本公开还提供了一种信息处理装置，所述装置包括：
实体内容模块，设置为获取目标实体的百科内容信息，其中，所述百科内容信息包括所述目标实体关联的至少一个合集的合集信息；
展示模块，设置为根据所述百科内容信息的展示场景，展示所述目标实体关联的所述至少一个合集的合集信息。
本公开还提供了一种电子设备，所述电子设备包括：处理器；设置为存储所述处理器可执行指令的存储器；所述处理器，还设置为从所述存储器中读取所述可执行指令，并执行所述指令以实现上述的信息处理方法。
本公开还提供了一种计算机可读存储介质，所述存储介质存储有计算机程序，所述计算机程序用于执行上述的信息处理方法。
附图说明
图1为本公开实施例提供的一种信息处理方法的流程示意图；
图2为本公开实施例提供的一种构成要素确定的示意图；
图3为本公开实施例提供的另一种构成要素确定的示意图；
图4为本公开实施例提供的一种第一类实体的匹配示意图；
图5为本公开实施例提供的一种实体关联的示意图；
图6为本公开实施例提供的另一种信息处理方法的流程示意图；
图7为本公开实施例提供的另一种信息处理方法的流程示意图；
图8为本公开实施例提供的一种合集展示的示意图；
图9为本公开实施例提供的另一种合集展示的示意图；
图10为本公开实施例提供的再一种合集展示的示意图；
图11为本公开实施例提供的又一种合集展示的示意图；
图12为本公开实施例提供的一种信息处理装置的结构示意图；
图13为本公开实施例提供的另一种信息处理装置的结构示意图；
图14为本公开实施例提供的一种电子设备的结构示意图。
具体实施方式
下面将参照附图描述本公开的实施例。虽然附图中显示了本公开的一些实施例，然而，本公开可以通过多种形式来实现，提供这些实施例是为了理解本公开。本公开的附图及实施例仅用于示例性作用。
本公开的方法实施方式中记载的多个步骤可以按照不同的顺序执行，和/或并行执行。此外，方法实施方式可以包括附加的步骤和/或省略执行示出的步骤。本公开的范围在此方面不受限制。
本文使用的术语“包括”及其变形是开放性包括，即“包括但不限于”。术语“基于”是“至少部分地基于”。术语“一个实施例”表示“至少一个实施例”；术语“另一实施例”表示“至少一个另外的实施例”；术语“一些实施例”表示“至少一些实施例”。其他术语的相关定义将在下文描述中给出。
本公开中提及的“第一”、“第二”等概念仅用于对不同的装置、模块或单元进行区分，并非用于限定这些装置、模块或单元所执行的功能的顺序或者相互依存关系。
本公开中提及的“一个”、“多个”的修饰是示意性而非限制性的，本领域技术人员应当理解，除非在上下文另有指出，否则应该理解为“一个或多个”。
本公开实施方式中的多个装置之间所交互的消息或者信息的名称仅用于说明性的目的，而并不是用于对这些消息或信息的范围进行限制。
用户每天会对百科内容产生大量消费需求，不同属性的词条之间的联系以及词条与包括多个词条的合集之间的联系较弱，用户需要多次跳转才能充分了解。为了解决上述问题，本公开实施例提供了一种信息处理方法，下面结合实施例对该方法进行介绍。
图1为本公开实施例提供的一种信息处理方法的流程示意图，该方法可以由信息处理装置执行，其中该装置可以采用软件和/或硬件实现，一般可集成在电子设备中。如图1所示，该方法应用于客户端或服务器，包括：
步骤101、获取目标合集对应的多个构成要素，确定满足多个构成要素的第一类实体。
构成要素可以为构成合集的要素信息，例如可以为构成合集标题的不同属性维度下的关键词，属性维度可以为合集标题所涉及的分类方向。示例性的，假设合集标题的属性维度可以包括身高、年龄、性别和职业，身高的关键词为“170以上”、年龄的关键词为“90后”、性别的关键词为“女”，职业的关键词为“艺人”，上述不同属性维度下的关键词“170以上”、“90后”、“女”和“艺人”即为构成要素。合集是满足所有构成要素的多个实体的集合，实体可以为人物、动物、事件、自然现象等。
构成要素可以由用户输入或基于预设规则得到，预设规则可以根据实际情况设定。在一个示例中，构成要素可以根据热点内容或用户的交互内容来确定，当根据热点内容确定时，可以从热点内容中提取多个关键词，选取其中几个关键词作为构成要素，例如假设热点内容为金马奖，通过从金马奖相关的图文和视频中可以提取“女主角”、“男主角”、“90后”和“28届”等关键词作为构成要素。当根据用户的交互内容来确定构成要素时，交互内容可以包括搜索信息和评论信息等内容，可以从交互内容中提取多个关键词，选取其中几个关键词作为构成要素，例如假设用户的搜索信息为“金马奖的90后获奖者”，可以从该搜索信息中提取“金马奖”、“90后”和“获奖者”作为构成要素。上述构成要素的确定方式仅为示例，而非唯一限定。
本公开实施例中，确定满足多个构成要素的第一类实体，包括：将多个构成要素与实体数据库中多个实体的属性信息进行匹配，根据第一匹配结果确定第一类实体。
实体数据库可以为预先建立的包括多个实体的数据库，实体的属性信息是指用于表征实体在不同属性维度下的特征信息，例如人物实体的属性信息可以包括人物在身高、年龄、性别和职业等属性维度下的特征信息。第一类实体中可以包括一个或多个实体，本实施例对第一类实体中包括的实体数量不作限定。
服务器获取目标合集的多个构成要素之后，可以将多个构成要素分别与实体数据库中的多个实体的属性信息进行匹配，也即将多个构成要素与属性信息中对应属性维度下的信息进行匹配，如果一个属性信息包括构成要素则确定匹配成功，之后可以确定匹配成功的多个属性信息所对应的实体，第一匹配结果中包括匹配成功的实体。之后可以将匹配成功的实体确定为第一类实体。
可选的，根据第一匹配结果确定第一类实体，包括：将匹配成功的实体按照交互数据进行排序，将排序在前的第一预设数量的匹配成功的实体确定为第一类实体。交互数据是指用户与介绍实体相关的多媒体内容的交互操作数据，例如交互数据可以包括浏览量、点击量和评论量等。
确定第一匹配结果之后，可以将匹配成功的实体按照交互数据进行排序， 将排序在前的第一预设数量的匹配成功的实体确定为第一类实体。第一预设数量可以根据实际情况确定，例如第一预设数量可以为100，将排序前100个匹配成功的实体确定为第一类实体。
示例性的，假设构成要素为“身高”、“≤170”、“艺人”，可以匹配到身高小于或等于170的多个艺的实体，可以将全部匹配到的艺人作为第一类实体，也可以将浏览量排序在前100的艺人作为第一类实体。
示例性的，图2为本公开实施例提供的一种构成要素确定的示意图，图3为本公开实施例提供的另一种构成要素确定的示意图，如图2所示，图中模版内容包括的是该模版下的不同属性维度，如图3所示，模版“艺人”包括的属性维度包括如图3中展示的职业、国籍、性别出生地、出生日期、去世日期、身高和民族等。示例性的，用户可以在图2中选择模版“艺人”，之后在图3中的属性维度职业、性别、身高下分别输入“明星”、“男”和“170以下”，则可以确定构成要素包括“明星”、“男”和“170以下”，图3中展示的标题“身高170以下的男明星”可以在确定构成要素之后生成并展示。
图2和图3可以为客户端中提供的内容候选工具中的页面，客户端通过图2和图3中的页面获取用户输入的不同属性维度下的关键词，之后将该关键词发送至服务器，服务器将不同属性维度下的关键词确定为合集的构成要素。
示例性的，图4为本公开实施例提供的一种第一类实体的匹配示意图，如图3和图4所示，在图3中确定构成要素之后，可以将构成要素分别与实体数据库中的多个实体的属性信息匹配，确定匹配成功的实体，图3中展示了匹配成功的明星，图3中的筛选结果中包括100个匹配成功的明星，可以将这100个匹配成功的明星作为第一类实体。可选的，本实施例还可以在图3匹配成功的实体中取浏览量排序前100的实体作为第一类实体，在图3的基础上，图4中展示了在图3的100个匹配成功的明星中选择的23个明星，构成第一类实体。并且图3和图4中均支持人工对已添加的实体进行删除和添加新的实体。
步骤102、基于第一类实体的多媒体信息生成目标合集的合集内容。
实体的多媒体信息是指实体对应的多种类型的信息，例如百科、图片、文本和视频等，本实施例对实体的多媒体信息的类型不作限定。目标合集的合集内容可以包括目标合集中每个实体的介绍信息，每个实体的介绍信息可以与上述合集的构成要素相匹配。
本公开实施例中，在确定满足多个构成要素的第一类实体之后，针对第一类实体中的每个实体，可以根据该实体的标识和多个构成要素所在属性维度，在第一类实体的多媒体信息中进行查找，将该实体在多个构成要素所在属性维 度下的多媒体信息确定为该实体的介绍信息。
步骤103、根据目标合集的特征信息确定第二类实体。
第二类实体是与目标合集的特征相关的大范围的实体，与上述第一类实体不同。通过确定第二类实体可以对目标合集相关的实体进行大范围地扩充，保证了基础实体的数量，以增强后续相关实体确定的准确性。
目标合集的特征信息是指基于目标合集的合集内容提取的关键性的代表信息，能够表征目标合集的特性。
本公开实施例中，根据目标合集的特征信息确定第二类实体，包括：提取目标合集的合集内容中的多个关键词作为特征信息，其中，合集内容包括目标合集中每个实体的介绍信息；将多个关键词与实体数据库中多个实体的属性信息进行匹配，根据第二匹配结果确定第二类实体；其中，第二类实体的属性信息与至少一个关键词相匹配。
针对目标合集的合集内容可以提取多个关键词作为特征信息，本实施例对提取方式不作限定，例如可以对目标合集中每个实体的介绍信息进行切词，将出现数量最多的词确定为关键词。之后可以将多个关键词与实体数据库中多个实体的属性信息进行匹配，将与至少一个关键词匹配度大于设定阈值的实体确定为匹配成功的实体，将匹配成功的实体确定为第二类实体。第二类实体的属性信息与至少一个关键词相匹配。示例性的，假设目标合集的特征信息为“百花奖”和“女艺人”，可以将与“百花奖”匹配成功的实体以及与“女艺人”匹配成功的实体确定为第二类实体。
步骤104、在第一类实体和第二类实体中，确定与合集内容关联的目标实体。
确定与合集内容关联的目标实体可以为确定与目标合集的合集内容在含义上具有部分相同点或相似点的实体，确定该目标实体之后，可以在展示目标实体的同时展示关联的合集，加强了实体与合集之间的联系，缩短用户消费合集的路径。
本公开实施例中，在第一类实体和第二类实体中，确定与合集内容关联的目标实体，可以包括：对第一类实体和第二类实体进行去重，得到候选实体集合；基于候选实体集合中每个第一候选实体的属性信息，对每个第一候选实体进行分类，得到多类候选实体子集合；根据每类候选实体子集合的类别特征，从多类候选实体子集合中选择预设数量的第二候选实体，将第二候选实体确定为目标实体。
在上述步骤中确定第一类实体和第二类实体之后，可以对第一类实体和第二类实体进行去重处理，删除重复的实体，得到候选实体集合，候选实体集合 中可以包括多个第一候选实体。之后可以根据候选实体集合中每个第一候选实体的属性信息对多个第一候选实体进行分类，得到多类候选实体子集合。本实施例对第一候选实体的分类方式不作限定，例如可以采用聚类算法进行分类。根据每类候选实体子集合的类别特征提取预设数量的第二候选实体，第二候选实体即为目标实体。类别特征是指每类候选实体子集合的集合特征，也即每类候选实体子集合中多个第一候选实体均具有的特征，不同候选实体子集合的预设数量可以基于类别特征设置，例如针对类别特征分别为人物和事件的候选实体子集合，预设数量可以不同。可选的，服务器确定第一类实体和第二类实体之后，也可以直接将第一类实体和第二类实体确定为与目标合集的合集内容关联的目标实体。
上述方案中，在得到第一类实体和第二类实体之后，通过对第一类实体和第二类实体的去重和分类等处理，可以从其中提取部分实体作为与目标合集的合集内容关联的实体，这种细化的处理提升了合集关联实体确定的准确性。
示例性的，假设第一类实体和第二类实体总共包括120个实体，去重之后，得到100个实体为第一候选实体，构成候选实体集合；针对候选实体集合进行分类之后，可以得到10个候选实体子集合，每个候选实体子集合中包括10个第一候选实体；针对每个候选实体子集合，提取部分第一候选实体，提取出的第一候选实体称为第二候选实体，所有第二候选实体的数量可以小于100，也可以等于100；最后将第二候选实体确定为与目标合集内容关联的目标实体。
图5为本公开实施例提供的一种实体关联的示意图，如图5所示，以百科合集为例，图中展示了百科合集“2020年电视剧小花们”关联的目标实体，图中包括了23个明星。
示例性的，图6为本公开实施例提供的另一种信息处理方法的流程示意图，如图6所示，图中表征了确定与一个百科合集的合集内容关联的词条的过程，该过程可以包括：创建/编辑合集；添加合集基本信息，也即获取百科合集的多个构成要素；添加词条，此时的词条为确定满足多个构成要素的第一类词条；判断是否需要内容候选，若需要内容候选，则进入基本信息属性筛选并添加，也即采用半自动化方式添加词条，将多个构成要素与实体数据库中多个实体的属性信息进行匹配，确定第一类词条，之后关联词条。若不需要内容候选，则人工添加第一类词条，并关联词条。上述关联词条的过程，可以包括：根据百科合集的特征信息确定第二类词条，并根据第一类词条和第二类词条以及预设规则，确定百科合集的合集内容关联的目标词条，预设规则可以包括：第一类词条自动作为目标词条；第一类词条变更关联目标词条随之变更；目标词条变更，第一类词条不变；当对第一类词条进行二次编辑时，目标词条对增量数据 进行变更；对第一类词条和第二词条进行去重、分类和提取。最后提交，确定与一个百科合集的合集内容关联的目标词条并提交以备后用。在用户发起浏览词条行为后，判断词条是否有对应百科合集，若词条有对应百科合集则在展示词条内容时进行百科合集展示。
本公开实施例提供的信息处理方案，基于目标合集的构成要素可以确定第一类实体、目标合集的合集内容以及第二类实体，进而在第一类实体和第二实体中可以确定与合集内容关联的实体，使得客户端展示实体时可以展示关联的合集，能够帮助用户更加高效直观地建立实体与合集之间的联系，加强了实体与合集之间的联系，缩短用户消费合集的路径，能够更好地满足用户对实体相关内容的探索发现需求，提高了合集和实体展示的多样性和丰富性，进而提高了用户的内容浏览效果。
图7为本公开实施例提供的另一种信息处理方法的流程示意图，该方法可以由信息处理装置执行，其中该装置可以采用软件和/或硬件实现，一般可集成在电子设备中。如图7所示，该方法应用于客户端，包括：
步骤201、获取目标实体的百科内容信息，其中，百科内容信息包括目标实体关联的至少一个合集的合集信息。
百科内容信息可以为对目标实体的百科相关信息的统称，百科内容信息中可以包括目标实体的实体内容，以及目标实体关联的至少一个合集的合集信息，确定目标实体与合集的关联关系的方式如上一实施例中所述，在此不进行说明。合集信息可以包括合集的标题信息以及合集中每个实体的属性信息，每个实体的属性信息与合集的标题信息相匹配。
实体的属性信息是指与实体内容相关的多种信息，实体的属性信息可以包括实体名称以及与合集的标题信息中的核心词匹配的特征文本。合集的标题信息可以为根据合集的构成要素确定的信息。合集的标题信息中的核心词是指对合集的标题信息分词得到的词语。与核心词匹配的特征文本可以理解为是每个实体与合集的标题信息相关联的文本，特征文本可以包括一个或多个，例如合集的标题信息为“90后170cm的女明星”包括年龄和身高两个特征文本。由于实体的属性信息与合集的标题信息相匹配，增强了实体与合集标题的关联性，能够辅助用户了解合集内容以及每个实体的特点。
本公开实施例中，当检测到用户的预设触发操作时，可以获取与触发操作对应的目标实体的百科内容信息，本实施例对预设触发操作不作限定，例如预设触发操作可以为对目标实体的点击触发操作、对搜索词的搜索触发操作等。
步骤202、根据百科内容信息的展示场景，展示目标实体关联的至少一个合 集的合集信息。
展示场景可以包括百科详情页面下进行合集展示的场景、针对搜索词进行合集展示的场景以及在推荐流页面进行合集展示的场景。基于不同展示场景的特性和目的，在不同展示场景下，可以设置不同的合集展示方式和内容，以实现不同的展示效果，满足用户在不同场景下对合集的消费需求。
可选的，根据百科内容信息的展示场景，展示目标实体关联的至少一个合集的合集信息，包括：当展示场景为百科详情展示场景，在百科详情页面的合集展示区域以卡片形式展示至少一个合集的合集信息；其中，合集信息包括合集的标题信息以及合集中第一预设数量的实体的属性信息。
百科详情场景是指针对百科知识的展示场景，百科详情页面是指用于展示百科信息的页面。当展示场景为百科详情展示场景时，可以在百科详情页面展示目标实体的实体内容的同时，在百科详情页面的合集展示区域中以卡片形式展示至少一个合集的标题信息以及合集中第一预设数量的实体的属性信息。合集展示区域是指百科详情页面中设置的用于展示合集的区域，在合集展示区域中可以设置多个卡片，每个卡片对应一个合集。第一预设数量可以根据实际情况设置，例如第一预设数量可以为合集中全部实体的数量之和，也可以为部分实体的数量。当第一预设数量大于或等于二时，也即合集中展示的实体的数量为至少两个时，本实施例对至少两个实体的排列方式不作限定，可以为竖向排列或横向排序，并且可以支持滑动查看当前界面没有显示的实体。每个卡片可以沿预设方向进行滑动，预设方向根据实际情况确定，例如预设方向可以为横向或纵向。
示例性的，图8为本公开实施例提供的一种合集展示的示意图；如图8所示，图中展示了实体“明星甲”的百科详情页，该百科详情页中展示了该实体的内容以及与该实体关联的相关合集的合集信息，实体的内容包括图中“明星甲”的图片、个人信息、简介、参演作品、相关人物、人物经历和相关合集，其中参演作品可以包括图中的参演电影、参演电视剧和相声作品等。相关合集是指与该词条关联的百科合集，数量可以为多个，图中示例性的展示了一个百科合集的卡片，图中该百科合集中示例性的展示了两个实体，卡片中包括合集标题为“盘点那些名校毕业的优质演员”，卡片中还展示了两个实体分别为“明星甲”和“明星乙”的属性信息，该合集包括24个实体，通过点击“查看更多”或在该卡片上滑动可以查看更多实体，并且每个实体中包括与合集标题匹配的特征文本，例如图中的“学校A”、“学校B”。
可选的，根据百科内容信息的展示场景，展示目标实体关联的至少一个合集的合集信息，包括：当展示场景为搜索结果展示场景或推荐信息展示场景， 在搜索结果页面或推荐信息页面以卡片形式展示至少一个合集的标题信息。
搜索结果展示场景是指当用户输入的搜索词中包括一个实体，在展示该实体时展示与实体关联的合集信息的场景，搜索结果页面是指展示与搜索词关联的实体以及合集的页面。推荐信息展示场景是指在对全部合集进行分发时，将合集分发至推荐流中的展示场景，推荐信息页面是指用于展示推荐信息以及合集的页面。
当展示场景为搜索结果展示场景时，可以在搜索结果页面展示搜索结果的同时，在搜索结果页面以卡片形式展示与目标实体关联的至少一个合集的标题信息，其中，搜索结果中包括目标实体。搜索结果页面可以设置多个卡片，每个卡片可以展示一个合集的标题信息。
示例性的，图9为本公开实施例提供的另一种合集展示的示意图，图9中展示了一个搜索结果页面，搜索词为“明星丙”，搜索结果页面中展示了“明星丙”的一个实体，以及与该实体关联的相关合集，相关合集中示例性的展示了三个合集的标题信息，包括图中的“那些名校毕业的优质歌手”、“获得金曲奖的优秀歌手”、“选秀节目歌手”，每个合集的标题信息展示在一个卡片中。
当展示场景为推荐信息展示场景时，可以在推荐信息页面展示推荐信息的同时，在推荐信息页面以卡片形式展示与目标实体关联的至少一个合集的标题信息，其中，推荐信息中包括目标实体的相关信息，以使用户在推荐场景下可以快速浏览到相关的合集信息。推荐信息页面中可以设置多个卡片，每个卡片可以展示一个合集的标题信息。可选的，在推荐信息页面展示与目标实体关联的至少一个合集的标题信息的同时，还可以展示合集中至少一个实体的属性信息。
示例性的，图10为本公开实施例提供的再一种合集展示的示意图，图中展示了一个推荐信息页面，该推荐信息页面中的第一个推荐信息为目标实体“明星丁”的相关信息，之后示例性展示了三个与“明星丁”关联的合集的卡片，每个卡片中展示一个合集的信息，第一个卡片和第二个卡片中仅展示了合集的标题信息，第三个卡片中展示了合集的标题信息以及两个实体的属性信息。
上述方案中，根据不同展示场景的特性和目的，可以在展示实体关联的合集时以不同形式和内容进行展示，以实现不同的展示效果，满足用户在不同场景下对合集的消费需求，能够更好地满足用户对合集的探索发现需求。
本公开实施例提供的信息处理方案，获取目标实体的百科内容信息，其中，百科内容信息包括目标实体关联的至少一个合集的合集信息；根据百科内容信息的展示场景，展示目标实体关联的至少一个合集的合集信息。采用上述技术 方案，展示一个实体时可以展示与该实体关联的合集，加强了实体与合集之间的联系，缩短用户消费合集的路径，能够更好地满足用户对实体相关内容的探索发现需求，提高了合集和实体展示的多样性和丰富性，进而提高了用户的内容浏览效果。
在一些实施例中，信息处理方法还可以包括：接收对至少一个合集中的目标合集的触发操作；在合集详情页面的第一展示区域展示目标合集的标题信息以及目标合集中每个实体的属性信息。
触发操作是指用于展示目标合集的任意一种操作，本实施例对触发操作不作限定，例如可以为对目标合集的点击操作。合集详情页是指用于展示合集的全部相关信息的页面。当检测到用户对至少一个合集中目标合集的预设信息的触发操作，则可以在合集详情页的第一展示区域展示目标合集的全部合集信息，全部合集信息包括目标合集的标题信息以及目标合集中每个实体的属性信息。上述预设信息可以根据实际情况进行设置，例如预设信息可以为目标合集的合集标题或合集图片等，本实施例对预设信息不作限定。
示例性的，图11为本公开实施例提供的又一种合集展示的示意图，图中展示了一个合集详情页面，该合集详情页中展示了合集标题为“盘点那些名校毕业的优质演艺生”的百科合集，图中还展示了该百科合集的简介信息“明星大腕里真的有学霸？来，我们扒一扒明星里的超级真学霸，顺便撩一眼世界明校风采”。并且，该百科合集中包括了24个词条，图中示例性的展示了5个词条，每个词条包括一个明星的相关信息，每个词条对应的属性信息为图中的毕业院校，例如对于第一个词条，展示了明星甲的图片、简介“中国内地男演员”以及与合集标题匹配的属性信息“学校A”。
由于多个实体的属性信息中均具有合集标题的匹配信息，使得实体与合集标题的关联性增强，有助于用户阅读。
在一些实施例中，当合集的数量为多个时，信息处理方法还可以包括：在合集详情页的第二展示区域展示多个合集中除目标合集之外的其他合集的标题信息和/或该其他集合中第二预设数量的实体的属性信息。
第二展示区域是合集详情页中设置的与上述第一展示区域不同的一个区域。当合集的数量为多个时，可以在合集详情页的第二展示区域展示多个合集中除了上述目标合集之外的其他合集的合集信息，例如可以展示其他合集的标题信息和/或该其他集合中第二预设数量的实体的属性信息，第二预设数量可以根据实际情况确定，例如第二预设数量可以为实体数量的全部，也可以为部分，本实施例对第二预设数量不作限定。
上述方案中，在基于触发操作展示一个合集的详情时，还可以展示关联的其他合集的信息，使用户可以直观地了解不同合集之间的关联性，帮助用户更加高效地建立不同合集之间的联系，进而可以吸引用户的点击，提高了合集的体验效果。
图12为本公开实施例提供的一种信息处理装置的结构示意图，该装置可由软件和/或硬件实现，一般可集成在电子设备中。如图12所示，该装置包括：
第一类实体模块301，设置为获取目标合集对应的多个构成要素，确定满足所述多个构成要素的第一类实体；合集内容模块302，设置为基于所述第一类实体的多媒体信息生成所述目标合集的合集内容；第二类实体模块303，设置为根据所述目标合集的特征信息确定第二类实体；关联模块304，设置为在所述第一类实体和所述第二类实体中，确定与所述合集内容关联的目标实体。
可选的，所述第一类实体模块301设置为通过如下方式确定满足所述多个构成要素的第一类实体：
将所述多个构成要素与实体数据库中多个实体的属性信息进行匹配，根据第一匹配结果确定所述第一类实体。
可选的，所述第一类实体模块301设置为通过如下方式根据第一匹配结果确定所述第一类实体：
将匹配成功的实体按照交互数据进行排序，将排序在前的第一预设数量的匹配成功的实体确定为所述第一类实体。
可选的，所述第二类实体模块303设置为：
提取所述目标合集的合集内容中的多个关键词作为特征信息，其中，所述合集内容包括所述目标合集中每个实体的介绍信息；将所述多个关键词与实体数据库中多个实体的属性信息进行匹配，根据第二匹配结果确定所述第二类实体；其中，所述第二类实体的属性信息与至少一个关键词相匹配。
可选的，所述关联模块304设置为：
对所述第一类实体和所述第二类实体进行去重，得到候选实体集合；基于所述候选实体集合中多个第一候选实体中每个第一候选实体的属性信息，对所述多个第一候选实体进行分类，得到多类候选实体子集合；根据每类候选实体子集合的类别特征，从所述每类候选实体子集合中选择预设数量的第二候选实体，将所述第二候选实体确定为所述目标实体。
本公开实施例所提供的信息处理装置可执行本公开任意实施例所提供的信息处理方法，具备执行方法相应的功能模块和效果。
图13为本公开实施例提供的另一种信息处理装置的结构示意图，该装置可由软件和/或硬件实现，一般可集成在电子设备中。如图13所示，该装置包括：
实体内容模块401，设置为获取目标实体的百科内容信息，其中，所述百科内容信息包括所述目标实体关联的至少一个合集的合集信息；展示模块402，设置为根据所述百科内容信息的展示场景，展示所述目标实体关联的所述至少一个合集的合集信息。
可选的，所述合集信息包括合集的标题信息以及所述合集中每个实体的属性信息，每个实体的属性信息与所述合集的标题信息相匹配。
可选的，所述展示模块402设置为：
当所述展示场景为百科详情展示场景，在百科详情页面的合集展示区域以卡片形式展示所述至少一个合集的合集信息；其中，所述合集信息包括合集的标题信息以及所述合集中第一预设数量的实体的属性信息。
可选的，所述展示模块402设置为：
当所述展示场景为搜索结果展示场景或推荐信息展示场景，在搜索结果页面或推荐信息页面以卡片形式展示所述至少一个合集的标题信息。
可选的，所述装置还包括合集详情模块，设置为：
接收对所述至少一个合集中的目标合集的触发操作；在合集详情页面的第一展示区域展示所述目标合集的标题信息以及所述目标合集中每个实体的属性信息。
可选的，当所述合集的数量为多个，所述集详情模块设置为：
在所述合集详情页的第二展示区域展示所述多个合集中除所述目标合集之外的其他合集的标题信息和/或该其他集合中第二预设数量的实体的属性信息。
本公开实施例所提供的信息处理装置可执行本公开任意实施例所提供的信息处理方法，具备执行方法相应的功能模块和效果。
本公开实施例提供了一种计算机程序产品，包括计算机程序/指令，该计算机程序/指令被处理器执行时实现本公开任意实施例所提供的信息处理方法。
图14为本公开实施例提供的一种电子设备的结构示意图。下面参考图14，其示出了适于用来实现本公开实施例中的电子设备500的结构示意图。本公开实施例中的电子设备500可以包括但不限于诸如移动电话、笔记本电脑、数字广播接收器、个人数字助理(Personal Digital Assistant，PDA)、平板电脑(PAD)、便携式多媒体播放器(Portable Media Player，PMP)、车载终端(例如车载导航终端)等等的移动终端以及诸如数字电视(Television，TV)、台式计算机等 等的固定终端。图14示出的电子设备仅仅是一个示例，不应对本公开实施例的功能和使用范围带来任何限制。
如图14所示，电子设备500可以包括处理装置(例如中央处理器、图形处理器等)501，其可以根据存储在只读存储器(Read-Only Memory，ROM)502中的程序或者从存储装置508加载到随机访问存储器(Random Access Memory，RAM)503中的程序而执行多种适当的动作和处理。在RAM 503中，还存储有电子设备500操作所需的多种程序和数据。处理装置501、ROM 502以及RAM503通过总线504彼此相连。输入/输出(Input/Output，I/O)接口505也连接至总线504。
通常，以下装置可以连接至I/O接口505：包括例如触摸屏、触摸板、键盘、鼠标、摄像头、麦克风、加速度计、陀螺仪等的输入装置506；包括例如液晶显示器(Liquid Crystal Display，LCD)、扬声器、振动器等的输出装置507；包括例如磁带、硬盘等的存储装置508；以及通信装置509。通信装置509可以允许电子设备500与其他设备进行无线或有线通信以交换数据。虽然图14示出了具有多种装置的电子设备500，并不要求实施或具备所有示出的装置。可以替代地实施或具备更多或更少的装置。
根据本公开的实施例，上文参考流程图描述的过程可以被实现为计算机软件程序。例如，本公开的实施例包括一种计算机程序产品，其包括承载在非暂态计算机可读介质上的计算机程序，该计算机程序包含用于执行流程图所示的方法的程序代码。在这样的实施例中，该计算机程序可以通过通信装置509从网络上被下载和安装，或者从存储装置508被安装，或者从ROM 502被安装。在该计算机程序被处理装置501执行时，执行本公开实施例的信息处理方法中限定的上述功能。
本公开上述的计算机可读介质可以是计算机可读信号介质或者计算机可读存储介质或者是上述两者的任意组合。计算机可读存储介质例如可以是——但不限于——电、磁、光、电磁、红外线、或半导体的系统、装置或器件，或者任意以上的组合。计算机可读存储介质的例子可以包括但不限于：具有一个或多个导线的电连接、便携式计算机磁盘、硬盘、RAM、ROM、可擦式可编程只读存储器(Erasable Programmable Read-Only Memory，EPROM或闪存)、光纤、便携式紧凑磁盘只读存储器(Compact Disc Read-Only Memory，CD-ROM)、光存储器件、磁存储器件、或者上述的任意合适的组合。在本公开中，计算机可读存储介质可以是任何包含或存储程序的有形介质，该程序可以被指令执行系统、装置或者器件使用或者与其结合使用。而在本公开中，计算机可读信号介质可以包括在基带中或者作为载波一部分传播的数据信号，其中承载了计算 机可读的程序代码。这种传播的数据信号可以采用多种形式，包括但不限于电磁信号、光信号或上述的任意合适的组合。计算机可读信号介质还可以是计算机可读存储介质以外的任何计算机可读介质，该计算机可读信号介质可以发送、传播或者传输用于由指令执行系统、装置或者器件使用或者与其结合使用的程序。计算机可读介质上包含的程序代码可以用任何适当的介质传输，包括但不限于：电线、光缆、射频(Radio Frequency，RF)等等，或者上述的任意合适的组合。
在一些实施方式中，客户端、服务器可以利用诸如超文本传输协议(HyperText Transfer Protocol，HTTP)之类的任何当前已知或未来研发的网络协议进行通信，并且可以与任意形式或介质的数字数据通信(例如，通信网络)互连。通信网络的示例包括局域网(Local Area Network，LAN)，广域网(Wide Area Network，WAN)，网际网(例如，互联网)以及端对端网络(例如，ad hoc端对端网络)，以及任何当前已知或未来研发的网络。
上述计算机可读介质可以是上述电子设备中所包含的；也可以是单独存在，而未装配入该电子设备中。
上述计算机可读介质承载有一个或者多个程序，当上述一个或者多个程序被该电子设备执行时，使得该电子设备：获取目标合集对应的多个构成要素，确定满足所述多个构成要素的第一类实体；基于所述第一类实体的多媒体信息生成所述目标合集的合集内容；根据所述目标合集的特征信息确定第二类实体；在所述第一类实体和所述第二类实体中，确定与所述合集内容关联的目标实体。
或者，上述计算机可读介质承载有一个或者多个程序，当上述一个或者多个程序被该电子设备执行时，使得该电子设备：获取目标实体的百科内容信息，其中，所述百科内容信息包括所述目标实体关联的至少一个合集的合集信息；根据所述百科内容信息的展示场景，展示所述目标实体关联的所述至少一个合集的合集信息。
可以以一种或多种程序设计语言或其组合来编写用于执行本公开的操作的计算机程序代码，上述程序设计语言包括但不限于面向对象的程序设计语言—诸如Java、Smalltalk、C++，还包括常规的过程式程序设计语言—诸如“C”语言或类似的程序设计语言。程序代码可以完全地在用户计算机上执行、部分地在用户计算机上执行、作为一个独立的软件包执行、部分在用户计算机上部分在远程计算机上执行、或者完全在远程计算机或服务器上执行。在涉及远程计算机的情形中，远程计算机可以通过任意种类的网络——包括LAN或WAN—连接到用户计算机，或者，可以连接到外部计算机(例如利用因特网服务提供商来通过因特网连接)。
附图中的流程图和框图，图示了按照本公开多种实施例的系统、方法和计算机程序产品的可能实现的体系架构、功能和操作。在这点上，流程图或框图中的每个方框可以代表一个模块、程序段、或代码的一部分，该模块、程序段、或代码的一部分包含一个或多个用于实现规定的逻辑功能的可执行指令。也应当注意，在有些作为替换的实现中，方框中所标注的功能也可以以不同于附图中所标注的顺序发生。例如，两个接连地表示的方框实际上可以基本并行地执行，它们有时也可以按相反的顺序执行，这依所涉及的功能而定。也要注意的是，框图和/或流程图中的每个方框、以及框图和/或流程图中的方框的组合，可以用执行规定的功能或操作的专用的基于硬件的系统来实现，或者可以用专用硬件与计算机指令的组合来实现。
描述于本公开实施例中所涉及到的单元可以通过软件的方式实现，也可以通过硬件的方式来实现。其中，单元的名称在一种情况下并不构成对该单元本身的限定。
本文中以上描述的功能可以至少部分地由一个或多个硬件逻辑部件来执行。例如，非限制性地，可以使用的示范类型的硬件逻辑部件包括：现场可编程门阵列(Field Programmable Gate Array，FPGA)、专用集成电路(Application Specific Integrated Circuit，ASIC)、专用标准产品(Application Specific Standard Parts，ASSP)、片上系统(System on Chip，SOC)、复杂可编程逻辑设备(Complex Programmable Logic Device，CPLD)等等。
在本公开的上下文中，机器可读介质可以是有形的介质，其可以包含或存储以供指令执行系统、装置或设备使用或与指令执行系统、装置或设备结合地使用的程序。机器可读介质可以是机器可读信号介质或机器可读储存介质。机器可读介质可以包括但不限于电子的、磁性的、光学的、电磁的、红外的、或半导体系统、装置或设备，或者上述内容的任何合适组合。机器可读存储介质的示例会包括基于一个或多个线的电气连接、便携式计算机盘、硬盘、RAM、ROM、EPROM或快闪存储器、光纤、CD-ROM、光学储存设备、磁储存设备、或上述内容的任何合适组合。
根据本公开的一个或多个实施例，本公开提供了一种信息处理方法，包括：
获取目标合集对应的多个构成要素，确定满足所述多个构成要素的第一类实体；
基于所述第一类实体的多媒体信息生成所述目标合集的合集内容；
根据所述目标合集的特征信息确定第二类实体；
在所述第一类实体和所述第二类实体中，确定与所述合集内容关联的目标 实体。
根据本公开的一个或多个实施例，本公开提供的信息处理方法中，所述确定满足所述多个构成要素的第一类实体，包括：
将所述多个构成要素与实体数据库中多个实体的属性信息进行匹配，根据第一匹配结果确定所述第一类实体。
根据本公开的一个或多个实施例，本公开提供的信息处理方法中，所述根据第一匹配结果确定所述第一类实体，包括：
将匹配成功的实体按照交互数据进行排序，将排序在前的第一预设数量的匹配成功的实体确定为所述第一类实体。
根据本公开的一个或多个实施例，本公开提供的信息处理方法中，所述根据所述目标合集的特征信息确定第二类实体，包括：
提取所述目标合集的合集内容中的多个关键词作为所述特征信息，其中，所述合集内容包括所述目标合集中每个实体的介绍信息；
将所述多个关键词与实体数据库中多个实体的属性信息进行匹配，根据第二匹配结果确定所述第二类实体；其中，所述第二类实体的属性信息与至少一个所述关键词相匹配。
根据本公开的一个或多个实施例，本公开提供的信息处理方法中，所述在所述第一类实体和所述第二类实体中，确定与所述合集内容关联的目标实体，包括：
对所述第一类实体和所述第二类实体进行去重，得到候选实体集合；
基于所述候选实体集合中多个第一候选实体中每个第一候选实体的属性信息，对所述多个第一候选实体进行分类，得到多类候选实体子集合；
根据每类候选实体子集合的类别特征，从所述每类候选实体子集合中选择预设数量的第二候选实体，将所述第二候选实体确定为所述目标实体。
根据本公开的一个或多个实施例，本公开提供了一种信息处理方法，包括：
获取目标实体的百科内容信息，其中，所述百科内容信息包括所述目标实体关联的至少一个合集的合集信息；
根据所述百科内容信息的展示场景，展示所述目标实体关联的所述至少一个合集的合集信息。
根据本公开的一个或多个实施例，本公开提供的信息处理方法中，所述合集信息包括合集的标题信息以及所述合集中每个实体的属性信息，每个实体的 属性信息与所述合集的标题信息相匹配。
根据本公开的一个或多个实施例，本公开提供的信息处理方法中，所述根据所述百科内容信息的展示场景，展示所述目标实体关联的至少一个合集的合集信息，包括：
当所述展示场景为百科详情展示场景，在百科详情页面的合集展示区域以卡片形式展示所述至少一个合集的合集信息；其中，所述合集信息包括合集的标题信息以及所述合集中第一预设数量的实体的属性信息。
根据本公开的一个或多个实施例，本公开提供的信息处理方法中，根据所述百科内容信息的展示场景，展示所述目标实体关联的至少一个合集的合集信息，包括：
当所述展示场景为搜索结果展示场景或推荐信息展示场景，在搜索结果页面或推荐信息页面以卡片形式展示所述至少一个合集的标题信息。
根据本公开的一个或多个实施例，本公开提供的信息处理方法中，还包括：
接收对所述至少一个合集中的目标合集的触发操作；
在合集详情页面的第一展示区域展示所述目标合集的标题信息以及所述目标合集中每个实体的属性信息。
根据本公开的一个或多个实施例，本公开提供的信息处理方法中，当所述合集的数量为多个，所述方法还包括：
在所述合集详情页的第二展示区域展示所述多个合集中除所述目标合集之外的其他合集的标题信息和/或该其他集合中第二预设数量的实体的属性信息。
根据本公开的一个或多个实施例，本公开提供了一种信息处理装置，包括：
第一类实体模块，设置为获取目标合集对应的多个构成要素，确定满足所述多个构成要素的第一类实体；
合集内容模块，设置为基于所述第一类实体的多媒体信息生成所述目标合集的合集内容；
第二类实体模块，设置为根据所述目标合集的特征信息确定第二类实体；
关联模块，设置为在所述第一类实体和所述第二类实体中，确定与所述合集内容关联的目标实体。
根据本公开的一个或多个实施例，本公开提供的信息处理装置中，所述第一类实体模块设置为通过如下方式确定满足所述多个构成要素的第一类实体：
将所述多个构成要素与实体数据库中多个实体的属性信息进行匹配，根据 第一匹配结果确定所述第一类实体。
根据本公开的一个或多个实施例，本公开提供的信息处理装置中，所述第一类实体模块设置为通过如下方式根据第一匹配结果确定所述第一类实体：
将匹配成功的实体按照交互数据进行排序，将排序在前的第一预设数量的匹配成功的实体确定为所述第一类实体。
根据本公开的一个或多个实施例，本公开提供的信息处理装置中，所述第二类实体模块设置为：
提取所述目标合集的合集内容中的多个关键词作为所述特征信息，其中，所述合集内容包括所述目标合集中每个实体的介绍信息；
将所述多个关键词与实体数据库中多个实体的属性信息进行匹配，根据第二匹配结果确定所述第二类实体；其中，所述第二类实体的属性信息与至少一个关键词相匹配。
根据本公开的一个或多个实施例，本公开提供的信息处理装置中，所述关联模块设置为：
对所述第一类实体和所述第二类实体进行去重，得到候选实体集合；
基于所述候选实体集合中多个第一候选实体中每个第一候选实体的属性信息，对所述多个第一候选实体进行分类，得到多类候选实体子集合；
根据每类候选实体子集合的类别特征，从所述每类候选实体子集合中选择预设数量的第二候选实体，将所述第二候选实体确定为所述目标实体。
根据本公开的一个或多个实施例，本公开提供了一种信息处理装置，包括：
实体内容模块，设置为获取目标实体的百科内容信息，其中，所述百科内容信息包括所述目标实体关联的至少一个合集的合集信息；
展示模块，设置为根据所述百科内容信息的展示场景，展示所述目标实体关联的所述至少一个合集的合集信息。
根据本公开的一个或多个实施例，本公开提供的信息处理装置中，所述合集信息包括合集的标题信息以及所述合集中每个实体的属性信息，每个实体的属性信息与所述合集的标题信息相匹配。
根据本公开的一个或多个实施例，本公开提供的信息处理装置中，所述展示模块设置为：
当所述展示场景为百科详情展示场景，在百科详情页面的合集展示区域以卡片形式展示所述至少一个合集的合集信息；其中，所述合集信息包括合集的 标题信息以及所述合集中第一预设数量的实体的属性信息。
根据本公开的一个或多个实施例，本公开提供的信息处理装置中，所述展示模块设置为：
当所述展示场景为搜索结果展示场景或推荐信息展示场景，在搜索结果页面或推荐信息页面以卡片形式展示所述至少一个合集的标题信息。
根据本公开的一个或多个实施例，本公开提供的信息处理装置中，所述装置还包括合集详情模块，设置为：
接收对所述至少一个合集中的目标合集的触发操作；
在合集详情页面的第一展示区域展示所述目标合集的标题信息以及所述目标合集中每个实体的属性信息。
根据本公开的一个或多个实施例，本公开提供的信息处理装置中，当所述合集的数量为多个，所述集详情模块设置为：
在所述合集详情页的第二展示区域展示所述多个合集中除所述目标合集之外的其他合集的标题信息和/或该其他集合中第二预设数量的实体的属性信息。
根据本公开的一个或多个实施例，本公开提供了一种电子设备，包括：
处理器；
设置为存储所述处理器可执行指令的存储器；
所述处理器，设置为从所述存储器中读取所述可执行指令，并执行所述指令以实现如本公开提供的任一所述的信息处理方法。
根据本公开的一个或多个实施例，本公开提供了一种计算机可读存储介质，所述存储介质存储有计算机程序，所述计算机程序用于执行如本公开提供的任一所述的信息处理方法。
此外，虽然采用特定次序描绘了多个操作，但是这不应当理解为要求这些操作以所示出的特定次序或以顺序次序执行来执行。在一定环境下，多任务和并行处理可能是有利的。同样地，虽然在上面论述中包含了多个实现细节，但是这些不应当被解释为对本公开的范围的限制。在单独的实施例的上下文中描述的一些特征还可以组合地实现在单个实施例中。相反地，在单个实施例的上下文中描述的多种特征也可以单独地或以任何合适的子组合的方式实现在多个实施例中。

Claims (15)

  1. 一种信息处理方法，包括：
    获取目标合集对应的多个构成要素，确定满足所述多个构成要素的第一类实体；
    基于所述第一类实体的多媒体信息生成所述目标合集的合集内容；
    根据所述目标合集的特征信息确定第二类实体；
    在所述第一类实体和所述第二类实体中，确定与所述合集内容关联的目标实体。
  2. 根据权利要求1所述的方法，其中，所述确定满足所述多个构成要素的第一类实体，包括：
    将所述多个构成要素与实体数据库中多个实体的属性信息进行匹配，根据第一匹配结果确定所述第一类实体。
  3. 根据权利要求2所述的方法，其中，所述根据第一匹配结果确定所述第一类实体，包括：
    将匹配成功的实体按照交互数据进行排序，将排序在前的第一预设数量的匹配成功的实体确定为所述第一类实体。
  4. 根据权利要求1所述的方法，其中，所述根据所述目标合集的特征信息确定第二类实体，包括：
    提取所述目标合集的合集内容中的多个关键词作为所述特征信息，其中，所述合集内容包括所述目标合集中每个实体的介绍信息；
    将所述多个关键词与实体数据库中多个实体的属性信息进行匹配，根据第二匹配结果确定所述第二类实体；其中，所述第二类实体的属性信息与至少一个关键词相匹配。
  5. 根据权利要求1所述的方法，其中，所述在所述第一类实体和所述第二类实体中，确定与所述合集内容关联的目标实体，包括：
    对所述第一类实体和所述第二类实体进行去重，得到候选实体集合；
    基于所述候选实体集合中多个第一候选实体中每个第一候选实体的属性信息，对所述多个第一候选实体进行分类，得到多类候选实体子集合；
    根据每类候选实体子集合的类别特征，从所述每类候选实体子集合中选择预设数量的第二候选实体，将所述第二候选实体确定为所述目标实体。
  6. 一种信息处理方法，包括：
    获取目标实体的百科内容信息，其中，所述百科内容信息包括所述目标实体关联的至少一个合集的合集信息；
    根据所述百科内容信息的展示场景，展示所述目标实体关联的所述至少一个合集的合集信息。
  7. 根据权利要求6所述的方法，其中，所述合集信息包括合集的标题信息以及所述合集中每个实体的属性信息，每个实体的属性信息与所述合集的标题信息相匹配。
  8. 根据权利要求7所述的方法，其中，所述根据所述百科内容信息的展示场景，展示所述目标实体关联的至少一个合集的合集信息，包括：
    在所述展示场景为百科详情展示场景的情况下，在百科详情页面的合集展示区域以卡片形式展示所述至少一个合集的合集信息；其中，所述合集信息包括合集的标题信息以及所述合集中第一预设数量的实体的属性信息。
  9. 根据权利要求7所述的方法，其中，所述根据所述百科内容信息的展示场景，展示所述目标实体关联的至少一个合集的合集信息，包括：
    在所述展示场景为搜索结果展示场景或推荐信息展示场景的情况下，在搜索结果页面或推荐信息页面以卡片形式展示所述至少一个合集的标题信息。
  10. 根据权利要求8或9所述的方法，还包括：
    接收对所述至少一个合集中的目标合集的触发操作；
    在合集详情页面的第一展示区域展示所述目标合集的标题信息以及所述目标合集中每个实体的属性信息。
  11. 根据权利要求10所述的方法，其中，在所述合集的数量为多个的情况下，所述方法还包括：
    在所述合集详情页的第二展示区域展示多个合集中除所述目标合集之外的其他合集的标题信息和所述其他集合中第二预设数量的实体的属性信息中的至少之一。
  12. 一种信息处理装置，包括：
    第一类实体模块，设置为获取目标合集对应的多个构成要素，确定满足所述多个构成要素的第一类实体；
    合集内容模块，设置为基于所述第一类实体的多媒体信息生成所述目标合集的合集内容；
    第二类实体模块，设置为根据所述目标合集的特征信息确定第二类实体；
    关联模块，设置为在所述第一类实体和所述第二类实体中，确定与所述合集内容关联的目标实体。
  13. 一种信息处理装置，包括：
    实体内容模块，设置为获取目标实体的百科内容信息，其中，所述百科内容信息包括所述目标实体关联的至少一个合集的合集信息；
    展示模块，设置为根据所述百科内容信息的展示场景，展示所述目标实体关联的所述至少一个合集的合集信息。
  14. 一种电子设备，包括：
    处理器；
    设置为存储所述处理器可执行指令的存储器；
    所述处理器，设置为从所述存储器中读取所述可执行指令，并执行所述指令以实现上述权利要求1-11中任一项所述的信息处理方法。
  15. 一种计算机可读存储介质，其中，所述存储介质存储有计算机程序，所述计算机程序用于执行上述权利要求1-11中任一项所述的信息处理方法。
PCT/CN2022/085439 2021-05-31 2022-04-07 信息处理方法、装置、设备及介质 WO2022252806A1 (zh)

Priority Applications (1)

Application Number Priority Date Filing Date Title
US18/548,456 US20240169000A1 (en) 2021-05-31 2022-04-07 Information processing method and apparatus, device, and medium

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN202110601192.1A CN113221572B (zh) 2021-05-31 2021-05-31 一种信息处理方法、装置、设备及介质
CN202110601192.1 2021-05-31

Publications (1)

Publication Number Publication Date
WO2022252806A1 true WO2022252806A1 (zh) 2022-12-08

Family

ID=77081675

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2022/085439 WO2022252806A1 (zh) 2021-05-31 2022-04-07 信息处理方法、装置、设备及介质

Country Status (3)

Country Link
US (1) US20240169000A1 (zh)
CN (1) CN113221572B (zh)
WO (1) WO2022252806A1 (zh)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113221572B (zh) * 2021-05-31 2024-05-07 抖音视界有限公司 一种信息处理方法、装置、设备及介质

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20150356127A1 (en) * 2011-02-03 2015-12-10 Linguastat, Inc. Autonomous real time publishing
CN107105031A (zh) * 2017-04-20 2017-08-29 北京京东尚科信息技术有限公司 信息推送方法和装置
CN107193974A (zh) * 2017-05-25 2017-09-22 北京百度网讯科技有限公司 基于人工智能的地域性信息确定方法和装置
CN107784029A (zh) * 2016-08-31 2018-03-09 阿里巴巴集团控股有限公司 生成提示关键词、建立索引关系的方法、服务器和客户端
CN110716991A (zh) * 2019-10-11 2020-01-21 掌阅科技股份有限公司 基于电子书的实体关联信息的展示方法及电子设备
CN112052297A (zh) * 2020-09-07 2020-12-08 北京字节跳动网络技术有限公司 信息生成方法、装置、电子设备和计算机可读介质
WO2021004311A1 (zh) * 2019-07-05 2021-01-14 阿里巴巴集团控股有限公司 用户界面信息展示方法、装置及电子设备
CN113221572A (zh) * 2021-05-31 2021-08-06 北京字节跳动网络技术有限公司 一种信息处理方法、装置、设备及介质

Family Cites Families (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8473485B2 (en) * 2011-06-29 2013-06-25 Microsoft Corporation Organizing search history into collections
CN103914543B (zh) * 2014-04-03 2017-12-26 北京百度网讯科技有限公司 搜索结果的展现方法和装置
CN105677931B (zh) * 2016-04-07 2018-06-19 北京百度网讯科技有限公司 信息搜索方法和装置
CN106951526B (zh) * 2017-03-21 2020-08-07 北京邮电大学 一种实体集扩展方法及装置
CA3067326A1 (en) * 2017-06-19 2018-12-27 Equifax Inc. Machine-learning system for servicing queries for digital content
US10896222B1 (en) * 2017-06-28 2021-01-19 Amazon Technologies, Inc. Subject-specific data set for named entity resolution
CN107346336B (zh) * 2017-06-29 2021-06-08 北京百度网讯科技有限公司 基于人工智能的信息处理方法和装置
CN108197197A (zh) * 2017-12-27 2018-06-22 北京百度网讯科技有限公司 实体描述型标签挖掘方法、装置及终端设备
CN109635120B (zh) * 2018-10-30 2020-06-09 百度在线网络技术（北京）有限公司 知识图谱的构建方法、装置和存储介质
CN110674394B (zh) * 2019-08-20 2024-03-15 腾讯科技（深圳）有限公司 一种基于知识图谱的信息推荐方法、装置及存储介质
CN110555627B (zh) * 2019-09-10 2022-06-10 拉扎斯网络科技（上海）有限公司 实体展示方法、装置、存储介质和电子设备
CN112084405A (zh) * 2020-09-04 2020-12-15 北京字节跳动网络技术有限公司 一种搜索方法、装置及计算机存储介质
CN112084268B (zh) * 2020-09-04 2022-05-20 北京字节跳动网络技术有限公司 一种搜索结果展示的方法、装置及计算机存储介质
CN112257444B (zh) * 2020-10-12 2023-08-04 四川传承数据设计有限公司 金融信息负面实体发现方法、装置、电子设备及存储介质
CN112559718B (zh) * 2020-12-24 2024-04-12 北京百度网讯科技有限公司 对话处理的方法、装置、电子设备和存储介质

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20150356127A1 (en) * 2011-02-03 2015-12-10 Linguastat, Inc. Autonomous real time publishing
CN107784029A (zh) * 2016-08-31 2018-03-09 阿里巴巴集团控股有限公司 生成提示关键词、建立索引关系的方法、服务器和客户端
CN107105031A (zh) * 2017-04-20 2017-08-29 北京京东尚科信息技术有限公司 信息推送方法和装置
CN107193974A (zh) * 2017-05-25 2017-09-22 北京百度网讯科技有限公司 基于人工智能的地域性信息确定方法和装置
WO2021004311A1 (zh) * 2019-07-05 2021-01-14 阿里巴巴集团控股有限公司 用户界面信息展示方法、装置及电子设备
CN110716991A (zh) * 2019-10-11 2020-01-21 掌阅科技股份有限公司 基于电子书的实体关联信息的展示方法及电子设备
CN112052297A (zh) * 2020-09-07 2020-12-08 北京字节跳动网络技术有限公司 信息生成方法、装置、电子设备和计算机可读介质
CN113221572A (zh) * 2021-05-31 2021-08-06 北京字节跳动网络技术有限公司 一种信息处理方法、装置、设备及介质

Also Published As

Publication number Publication date
US20240169000A1 (en) 2024-05-23
CN113221572A (zh) 2021-08-06
CN113221572B (zh) 2024-05-07

Similar Documents

Publication Publication Date Title
WO2023005339A1 (zh) 搜索结果展示方法、装置、设备和介质
US20240107127A1 (en) Video display method and apparatus, video processing method, apparatus, and system, device, and medium
CN110134931B (zh) 媒介标题生成方法、装置、电子设备及可读介质
WO2022252822A1 (zh) 信息展示方法、装置、设备及介质
CN112989076A (zh) 多媒体内容搜索方法、装置、设备及介质
WO2023160500A1 (zh) 百科信息展示方法、装置、设备和介质
US8856109B2 (en) Topical affinity badges in information retrieval
US9411857B1 (en) Grouping related entities
US20210279297A1 (en) Linking to a search result
US20160162583A1 (en) Apparatus and method for searching information using graphical user interface
WO2023279843A1 (zh) 内容搜索方法、装置、设备和存储介质
CN112825089B (zh) 文章推荐方法、装置、设备及存储介质
US20130212105A1 (en) Information processing apparatus, information processing method, and program
WO2023016349A1 (zh) 一种文本输入方法、装置、电子设备和存储介质
WO2021238084A1 (zh) 语音包推荐方法、装置、设备及存储介质
WO2023160555A1 (zh) 百科信息展示方法、装置、设备和介质
US20200412673A1 (en) Personality reply for digital content
Sandhu et al. Wikipedia search engine: Interactive information retrieval interface design
WO2022252806A1 (zh) 信息处理方法、装置、设备及介质
CN103412880A (zh) 一种用于确定多媒体资源间隐式关联信息的方法与设备
CN111382262B (zh) 用于输出信息的方法和装置
CN111275683B (zh) 图像质量评分处理方法、系统、设备及介质
CN111767259A (zh) 内容分享的方法、装置、可读介质和电子设备
CN112989011B (zh) 数据查询方法、数据查询装置和电子设备
CN110659419B (zh) 确定目标用户的方法及相关装置

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 22814853

Country of ref document: EP

Kind code of ref document: A1

WWE Wipo information: entry into national phase

Ref document number: 18548456

Country of ref document: US

NENP Non-entry into the national phase

Ref country code: DE