WO2017088497A1

WO2017088497A1 - Entity recommendation method, device, apparatus, and computer storage medium

Info

Publication number: WO2017088497A1
Application number: PCT/CN2016/089649
Authority: WO
Inventors: 黄际洲; 周里成
Original assignee: 百度在线网络技术（北京）有限公司
Priority date: 2015-11-25
Filing date: 2016-07-11
Publication date: 2017-06-01
Also published as: CN105512178B; CN105512178A

Abstract

An entity recommendation method, device, apparatus, and computer storage medium. The method comprises: acquiring, according to an acquired query term, at least two entity collections (S101); thereby, generating, according to shared characteristics between the respective entity collections and the query term, corresponding descriptive information for the respective entity collections (S102); then, displaying, in a query result page matching the query term, the description information corresponding to the respective entity collections (S103); and displaying, according to the description information clicked by a user, recommendation entities contained in the entity collection corresponding to the clicked description information (S104). The above technical solution can provide description information of multiple entity collections in a query result page, and further display recommendation entities contained in an entity collection, thus increasing variety of recommendation entities in the query result page, and improving the efficiency of acquiring a recommendation entity from the query result page.

Description

Method, device, device and computer storage medium for entity recommendation

The present application claims priority to Chinese Patent Application No. 201510828555.X entitled "An Entity Recommendation Method and Apparatus" on the application date of November 25, 2015.

Technical field

The present invention relates to the field of Internet search technologies, and in particular, to an entity recommendation method and apparatus.

Background technique

Currently, after the user inputs the query word (Query), the search engine searches according to the query word, and outputs a number of search result pages matching the query word to the user. In the prior art, a recommendation card may be inserted in the displayed search result page for recommending a plurality of recommendation entities related to the query term and having a single category, and the user may click on an entity in the recommendation card to jump from the current search result page. Go to the search results page that matches the entity you clicked on.

However, the recommended entities currently output are often related entities with a single category, and the correlation between the recommended entities and the query terms is not clear. Therefore, the user needs to manually filter and find the required entities in the recommended entities, resulting in the prior art. The category of the recommended entity is single, and the efficiency of obtaining the recommended entity from the search results page is relatively low.

Summary of the invention

In view of this, an embodiment of the present invention provides an entity recommendation method and apparatus, which improves the diversity of recommended entities in a search result page, and improves the efficiency of obtaining a recommendation entity from a search result page.

An aspect of an embodiment of the present invention provides an entity recommendation method, including:

Obtaining at least two entity sets according to the obtained query words;

Generating corresponding description information for each entity set according to common features of each entity set and the query word;

The description information corresponding to each entity set is displayed in the search result page matching the query word, and each recommended entity included in the entity set corresponding to the clicked description information is displayed according to the description information clicked by the user.

The aspect as described above, and any possible implementation manner, further provide an implementation manner, where the obtained query word obtains at least two entity sets, including:

Obtaining at least two entities with the highest heat among the entities related to the search entity according to the search entity included in the query word; and clustering the at least two entities to obtain the at least two Entity collection; or,

Obtaining at least two candidate sets that match the search entity and the search requirement information according to the search entity and the search requirement information included in the query word, according to the relevance of each candidate set to the search demand information, The at least two entity sets are obtained from at least two candidate sets.

The aspect as described above and any possible implementation manner further provide an implementation manner of displaying description information corresponding to each entity set in a search result page that matches the query term, including:

Obtaining a target image that matches the collection of entities;

In the search result page matching the query word, the corresponding display of the description information corresponding to each entity set and the target image is performed.

The aspect as described above and any possible implementation manner further provide an implementation manner of obtaining a target image that matches each entity set, including:

For each of the set of entities, obtaining a target picture that matches the set of entities; or,

For each of the set of entities, at least two candidate pictures that match the set of entities are obtained, and the at least two candidate pictures are puzzled to generate a target picture that matches the set of entities.

The aspect as described above and any of the possible implementations further provide an implementation manner of displaying, according to the description information that the user clicks, the recommended entities included in the entity set corresponding to the clicked description information, including:

The page rendering is performed by using each recommended entity included in the entity set corresponding to the description information clicked by the user to display a new page including each recommended entity.

The above-mentioned aspect and any possible implementation manner further provide an implementation manner in which the recommended entities are displayed by using a banner in the new page; the method further includes:

The search result matching the clicked recommended entity is displayed below the banner in the new page according to the recommended entity clicked in each recommended entity displayed by the user in the through-column.

The aspect as described above and any possible implementation manner further provide an implementation manner, where the method further includes:

Displaying navigation information between the clicked recommendation entity and the query word in the pass column;

The navigation information includes the query word, description information corresponding to the set of entities in which the recommended entity is located, and the recommended entity that is clicked.

According to the description information clicked by the user, a search result page matching the query word The drop-down box is displayed below the description information, and the recommended entities included in the entity set corresponding to the description information that the user clicks are displayed by using the drop-down box.

An aspect of an embodiment of the present invention provides an entity recommendation apparatus, including:

An entity obtaining module, configured to obtain at least two entity sets according to the obtained query words;

An information obtaining module, configured to generate corresponding description information for each entity set according to a common feature of each entity set and the query word;

a recommendation display module, configured to display description information corresponding to each entity set in a search result page matching the query word, and display, according to the description information clicked by the user, the entity set corresponding to the clicked description information Each recommended entity.

The foregoing aspect and any possible implementation manner further provide an implementation manner, where the entity acquiring module is specifically configured to:

The above-mentioned aspect and any possible implementation manner further provide an implementation manner, where the apparatus further includes: a picture generating module, configured to obtain a target picture that matches each entity set;

The recommendation display module is configured to: perform corresponding display of the description information corresponding to each entity set and the target image in a search result page that matches the query word.

The above-mentioned aspect and any possible implementation manner further provide an implementation manner, where the image generation module is specifically configured to:

The above-mentioned aspect and any possible implementation manner further provide an implementation manner, where the recommendation display module is specifically configured to:

The above-mentioned aspect and any possible implementation manner further provide an implementation manner in which each recommended entity is displayed by using a banner in the new page; the recommended display module is further configured to:

The aspect as described above and any possible implementation manner further provide an implementation manner, where the recommendation display module is further configured to: display navigation between the clicked recommendation entity and the query word in the pass column information;

It can be seen from the above technical solutions that the embodiments of the present invention have the following beneficial effects:

The technical solution provided by the embodiment of the present invention can provide description information of multiple entity sets in a search result page, and can further display each recommended entity included in the entity set, and can only provide a recommendation entity with a single category in the prior art. Compared with the technical solution, the technical solution provided by the embodiment of the present invention can output a multi-category and a large number of recommended entities, thereby improving the diversity of recommended entities in the search result page. Moreover, compared with the technical solution in which the recommendation relationship between the recommendation entity and the query term is not clear in the prior art, in the embodiment of the present invention, the recommendation relationship between the query word and the recommendation entity may be output by outputting the description information corresponding to the entity set. To help users quickly get the entities they need and improve the efficiency of getting recommended entities from search results pages.

DRAWINGS

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the embodiments will be briefly described below. It is obvious that the drawings in the following description are only some embodiments of the present invention. One of ordinary skill in the art can also obtain other drawings based on these drawings without paying for inventive labor.

1 is a schematic flowchart of an entity recommendation method according to an embodiment of the present invention;

2(a) to 2(h) are diagrams showing an example of a combination manner when at least two candidate pictures are generated by a target image according to an embodiment of the present invention;

3 is a first exemplary diagram of a recommended entity in a search result page in the prior art;

4(a) to 4(c) are diagrams showing a first example of a recommended entity in a search result page according to an embodiment of the present invention;

5(a) to 5(b) are diagrams showing a second example of recommending entities in a search result page according to an embodiment of the present invention;

6 is a second exemplary diagram of a recommended entity in a search result page in the prior art;

7(a)-7(c) are third exemplary diagrams of recommended entities in a search result page according to an embodiment of the present invention;

8(a) to 8(b) are fourth exemplary diagrams of recommended entities in a search result page according to an embodiment of the present invention;

FIG. 9 is a functional block diagram of an entity recommendation apparatus according to an embodiment of the present invention.

detailed description

The present invention will be described in detail below with reference to the drawings and specific embodiments.

It should be understood that the described embodiments are only a part of the embodiments of the invention, and not all of the embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative efforts are within the scope of the present invention.

The terms used in the embodiments of the present invention are for the purpose of describing particular embodiments only and are not intended to limit the invention. The singular forms "a", "the" and "the"

It should be understood that the term "and/or" as used herein is merely an association describing the associated object, indicating that there may be three relationships, for example, A and/or B, which may indicate that A exists separately, while A and B, there are three cases of B alone. In addition, the character "/" in this article generally indicates that the contextual object is an "or" relationship.

Depending on the context, the word "if" as used herein can be interpreted as "in... "or" or "in response to the determination" or "in response to the detection." Similarly, depending on the context, the phrase "if determined" or "if detected (conditions or events stated)" may be interpreted Becoming "when determined" or "in response to determination" or "when detecting (stated condition or event)" or "in response to detection (condition or event stated)".

Embodiment 1

An embodiment of the present invention provides an entity recommendation method. Referring to FIG. 1 , it is a schematic flowchart of an entity recommendation method according to an embodiment of the present invention. As shown in the figure, the method includes the following steps:

S101. Obtain at least two entity sets according to the obtained query words.

Specifically, in the embodiment of the present invention, the query word input by the user may be received, and then searched according to the query word to obtain a plurality of search results that match the query word, and finally, the search result page is used to display a plurality of search results to the user. In the generated search results page, you need to provide users with multi-dimensional, multi-category recommended entities at the same time. In order to implement the multi-dimensional, multi-category recommendation entity to the user, in the embodiment of the present invention, at least two entity sets are obtained according to the obtained query word.

For example, in the embodiment of the present invention, the method for obtaining at least two entity sets according to the obtained query words may include, but is not limited to, the following two types:

a first type: obtaining at least two entities with the highest heat among the entities related to the search entity according to the search entity included in the query word; and clustering the at least two entities to obtain a Describe at least two sets of entities.

It can be understood that if the query term only includes the search entity, or the query term is a search entity, it indicates that the user's search demand information cannot be determined according to the query word, and therefore the user's search demand is not clear, and may be related to the search entity. The highest heat among all entities At least two entities.

Further, the clustering algorithm may be used to perform clustering operations on at least two entities with the highest heat, and the at least two entities are divided into at least two entity sets, thereby obtaining at least two entity sets according to the obtained query words.

a second type: obtaining, according to the search entity and the search requirement information included in the query word, at least two candidate sets that match the search entity and the search requirement information, according to each candidate set and the search demand information Correlation, the at least two entity sets are obtained from at least two candidate sets.

It can be understood that if the query term includes the search entity and the search demand information, the user needs to determine the search demand information according to the query word. Therefore, if the user's search demand is clear, the search entity and the search demand information can be obtained according to the search requirement. At least two candidate sets with the highest information relevance.

In a specific implementation process, each candidate set may be sorted according to the relevance of each candidate set and the search demand information, and the order of the related sets is obtained in order of large to small, to obtain a sort result, and finally obtained from the sort result. The highest ranked at least two candidate sets are used as the at least two entity sets.

For example, when the query word input by the user is “Siberian Husky”, the user's search demand is not clear. In order to stimulate the potential search needs of the user, a collection of entities with the highest correlation and the highest degree of heat can be obtained, such as “same as huskies”. IQ is an impetuous dog, "a dog that looks like a wolf like a husky", and a "no-attack medium-sized dog with a gentle character like a huskies."

For another example, when the query word input by the user is “Huschi is good to raise?”, the user's search demand is very clear, that is, interested in the feeding mode of the Husky and other related pets, and the highest degree of relevance to the user's search demand information can be obtained. Entity collection, such as "as with huskies Medium-sized dogs that are difficult to raise, "small pet dogs that are suitable for domestication with Husky," and "pets that are as loyal and well-trained as Huskies."

In the method, the different search requirements of the query words input by the user are divided, and the entities that are interested in the search requirements are sorted according to the categories, forming different sets of entities, and finally recommending the set of entities to The user is used to satisfy different search requirements of the user, wherein the order of each entity set may be based on the correlation between the entity set and the query word input by the user for the search requirement, and the entity with the highest relevance to the search requirement of the user. In the top position.

S102. Generate corresponding description information for each entity set according to a common feature of each entity set and the query word.

Specifically, in the embodiment of the present invention, after obtaining at least two entity sets, the common feature of each entity set and the query word may be extracted, and then corresponding descriptions are generated for each entity set according to the common features of each entity set and the query words. information.

It should be noted that when generating the description information, it is necessary to construct and reflect the relationship between the query word or the search intention information in the description information. For example, the query word is “Beethoven”, and the entity collection includes recommended entities, such as “Hawking” and “Vincent Van Gogh”. The common feature of the entity collection and query words is “Celebrity of the body” The description information corresponding to the entity set may be "a celebrity like Beethoven".

In addition, the description information corresponding to the entity set not only reflects the common feature between the entity set and the search term, but also reflects the reason for recommending the entity set to the user, so that the user can better understand the recommended entities included in the entity set. And better understanding the relationship between the recommended entity set and the query word searched by the user, or the relationship between the entity set and the user's search intent, thereby enabling the user to quickly select the entity of interest or need, In turn, the efficiency of the user to obtain the recommended entities required is improved.

S103. Display description information corresponding to each entity set in a search result page that matches the query word.

Specifically, in the embodiment of the present invention, after the corresponding description information is generated for each entity set, the description information corresponding to each entity set may be displayed in a search result page that matches the query word. For example, the description information corresponding to each entity set may be displayed in the middle of any two search results in the search result page matching the query word.

In a specific implementation process, a target picture matching the set of entities may also be obtained; and then, in the search result page matching the query word, the description information corresponding to each entity set and the target picture are performed. Corresponding display.

For example, in the search result page matching the query word, the description information corresponding to each entity set is horizontally displayed, and the target image matching the entity set corresponding to the description information is displayed at a position below each description information displayed. . The description information corresponding to each entity set is associated with the corresponding target image by the corresponding display of the description information corresponding to the target set, so that the user can directly perceive the recommended entity set through the target image.

For example, in the embodiment of the present invention, the method for obtaining a target image that matches each entity set may include, but is not limited to, the following two types:

First: For each of the set of entities, a target picture that matches the set of entities is obtained.

a second type: for each of the entity sets, obtaining at least two candidate pictures that match the set of entities, and jigating the at least two candidate pictures to generate a target picture that matches the set of entities .

In a specific implementation process, multiple graphs matching the entity set may be aggregated, such as three candidate pictures, four candidate pictures, or an aggregation of five candidate pictures, or even more representative. Aggregation of pictures of a single entity. By using the multi-image aggregation to obtain the target image, the image of more recommended entities in the entity collection can be transmitted, and the user's recommendation perception of the entity collection can be enhanced.

For example, when a target image of a multi-graph aggregation style is generated for an entity set, a picture corresponding to each recommended entity in the first plurality of recommended entities in the entity set may be selected, and then the pictures are arranged and aggregated. Or, for example, a picture in the entity set that best reflects the search requirement represented by the entity set may be selected, and similar pictures are aggregated on the visual, style, color, and the like of the picture to generate a target picture.

Please refer to FIG. 2( a ) to FIG. 2( h ) , which are exemplary diagrams of a combination manner when generating a target picture for at least two candidate pictures according to an embodiment of the present invention, as shown in FIG. 2( a ) to FIG. 2( f ). As shown, at least two candidate pictures may be a plurality of candidate picture combinations to generate a target picture. As shown in FIG. 2(g), at least two candidate pictures may be shadow-added to generate a target picture. As shown in FIG. 2(h), at least two candidate pictures may be combined in 3D to generate a target picture. It should be noted that the manner in which the target picture is generated by using at least two candidate pictures is only an example. The embodiment of the present invention does not specifically limit the generation manner.

S104. Display, according to the description information that the user clicks, each recommended entity included in the entity set corresponding to the clicked description information.

Specifically, in the embodiment of the present invention, since the description information corresponding to each entity set is displayed in the search result page that matches the query word, if there is a set of entities that the user needs to know in each entity set, The user can use the gesture to slide left or right to the right in the description information corresponding to each entity set, so that the user can browse to the real Description of the body collection. When the user is interested in a certain entity collection, the user clicks the description information of the entity collection, so that the recommended entities included in the entity set corresponding to the clicked description information may be further displayed according to the description information that the user clicks, so that Providing the recommended entities included in the entity collection to the user.

For example, in the embodiment of the present invention, according to the description information that the user clicks, the method for displaying each recommended entity included in the entity set corresponding to the clicked description information may include, but is not limited to, the following two types:

The first type: performing page rendering by using each recommended entity included in the entity set corresponding to the description information clicked by the user to display a new page including each recommended entity.

In a specific implementation process, each recommended entity may be displayed in the new page by using a banner; and then, according to the recommended entity clicked by each recommended entity displayed by the user in the portal, in the new page. Below the banner, search results that match the recommended entity being clicked are displayed.

It can be understood that, after the user selects one description information in the description information corresponding to each entity set, a new search may be performed according to the entity set corresponding to the clicked description information, and a banner is displayed at the top position of the new page. The banner can be fixed at the top of the search result page, so that the user can quickly browse all the recommended entities included in the entity set corresponding to the clicked description information in the portal.

The user can further click on the required recommendation entity, and according to the recommended entity clicked by the user, the search result matching the clicked recommended entity can be automatically rendered under the banner in the new page by the asynchronous loading technology, wherein the recommended entity is clicked. The search results that match the recommended entities that are clicked are all performed in the new page, and do not need to jump to other pages, so there is no need to switch back and forth between the pages, so that it is very convenient to click on the The required recommendation entities and quick access to search results matching the recommended entities of the click greatly improve the efficiency of obtaining multiple recommended entities and reduce the search time.

Optionally, the navigation information between the recommended entity and the query word may be displayed in the navigation bar, where the navigation information includes the query word and a description corresponding to the set of entities in which the recommended entity is located. Information and the recommended entity that was clicked.

It can be understood that the banner can be composed of two parts: navigation information and each recommended entity. The navigation information can be displayed above the recommended entities in the portal bar, so that the user can quickly understand the recommendation logic between the recommended entities from the query word to the click, so that the user can quickly locate the recommended entity that is clicked.

For example, the query word in the navigation information is located on the left side, the description information corresponding to the set of entities in which the recommended entity is located is located in the middle, and the recommended entity that is clicked is located on the right side. For example, the navigation information can be "Beethoven" and the same celebrity as Beethoven's celebrity > Vincent Van Gogh, where "Beethoven" is the query word entered by the user, "like Beethoven's body and mind "Celebrity" is the description information corresponding to the set of entities clicked by the user in each entity collection, and "Vincent Van Gogh" is a recommendation information that the user further clicks in each recommendation information included in the entity collection.

In addition, the description information of the entity set may be refined, and the refined information is used as the description information in the navigation information. For example, the navigation information may also be “Beethoven> a similar celebrity of the disabled” Vincent · Van Gogh, which reduces information redundancy and improves the efficiency of information acquisition.

In the method, when each recommended entity is displayed in the through column, the name of each recommended entity and the picture corresponding to each recommended entity may be displayed in a horizontal direction. The recommended entities may be sorted according to the relevance of each recommended entity and the search demand information, and the higher the relevance is The more the body is in the front position, the user can slide left or right to navigate through the recommended entities. In addition, the search result page matching the query word may be returned by the above new page including each recommended entity, and other entity sets may be further selected.

The second type: displaying a drop-down box below the description information in the search result page matching the query word according to the description information clicked by the user, and displaying the description information clicked by the user by using the drop-down box Each recommended entity contained in the entity collection.

In a specific implementation process, when the user selects a set of entities of interest according to the description information corresponding to each entity set, the left swipe gesture or the right swipe gesture may be used to move each entity set, and then browse to each entity set. When the user clicks on the description information corresponding to the set of entities of interest, the drop-down box may be displayed below the description information corresponding to each entity set in the search result page matching the query word, and then the user clicks on the drop-down box. Each recommended entity included in the entity set corresponding to the description information, for example, the entity set may include 12 to 20 recommended entities, and the recommended entities may be sorted according to the relevance of the recommended entity and the search requirement, and the correlation is higher. The recommended entity is ranked higher.

Further, in the drop-down box, the user can also use the left swipe gesture or the right swipe gesture to move each recommended entity to browse to all recommended entities included in the entity set, so that the user can browse in the search result page. The collection of entities in each dimension, as well as multiple recommended entities in the collection of entities, improves the efficiency of obtaining recommended entities.

Embodiment 2

When the user enters the query word "Beethoven" (a collection of classical music styles, a poor, hard-working music artist), other search needs that the user may be interested in when the main search needs are met Including: a celebrity like Beethoven, a poor artist like Beethoven, and a musician with the same style as Beethoven. Wait.

Please refer to FIG. 3 , which is a first example diagram of a recommended entity in a search result page in the prior art. As shown in the figure, in the conventional technical solution, the recommended entity recommends “Mozart”, “Chopin” and “Bybon” around Beethoven. Schubert, "Bach" and other entities, these are well-known musicians in the world, the dimension of the recommended entity is single and the description of the "related person" is weak to the recommended entity, for the user in "and Beethoven" The two search needs of artists who are born in poverty and "like celebrities like Beethoven" cannot be satisfied.

Please refer to FIG. 4( a ) to FIG. 4( c ) , which are first example diagrams of recommended entities in a search result page according to an embodiment of the present invention. As shown in Figure 4(a), entities such as Haydn, Mozart, Chopin, and Bach are grouped together into a collection of entities, extracting common features and generating descriptive information “the same creative style as Beethoven’s. "Musicians", compared with the traditional technical solutions, added a collection of entities such as "Van Gogh, Hawking, Shi Tiesheng, A Bing", and added a description message to the collection of the entity "a celebrity like Beethoven" And the addition of a collection of entities such as "Andersen, Xu Beihong, Michelangelo, Schubert", and added a description of the entity "Artists like Beethoven who are poor", and for these three entities The set is respectively matched with the picture of the multi-image aggregation, and as shown in FIG. 4( a ), the pictures of the three most representative entities in the entity set are combined, which is provided by the embodiment of the present invention compared with the conventional technical solution. The technical solution has been upgraded from entity recommendation to entity collection recommendation.

As shown in Figure 4(b), when the user is interested in other musicians who have the same creative style as Beethoven, click on the description of the entity collection "The musician with the same creative style as Beethoven", and then display the new The page, as well as the banner displayed in the new page, shows all the recommended entities included in the collection of entities, such as Haydn, Mozart, Chopin, Bach, etc. The user selects the recommended entity of interest by selecting, and the current page will display the search result of the recommended entity.

When the user wants to continue browsing other entity collections, he can return to the original search result page, and further click on the description information "Celebrity like Beethoven" or "Artist who is as poor as Beethoven", as shown in Figure 4 (c ), it is possible to jump from the original search result page to a new page of the recommended entity included in the entity set corresponding to the "Celebrity like Beethoven".

Please refer to FIG. 5( a ) to FIG. 5( b ) , which are second exemplary diagrams of recommended entities in a search result page according to an embodiment of the present invention. As shown in Fig. 5(a), if the user is interested in "a musician who has the same creative style as Beethoven", the description information is clicked and displayed below each entity model displayed in the search result page related to the query word. In the drop-down box, the recommended entities in the entity set corresponding to the description information are displayed in the drop-down box, such as "Mozart", "Chopin", "Hayton" and "Bach". In addition, as shown in FIG. 5(a), the user can browse to all recommended entities by using a swipe left gesture or a swipe right gesture on each recommendation entity. As shown in Fig. 5(b), if the user is interested in "a celebrity like Beethoven," he or she clicks on the description information and displays it below each entity model displayed in the search result page related to the query word. In the drop-down box, the recommended entities in the entity set corresponding to the description information are displayed in the drop-down box, such as "Van Gogh", "Hawkin", "Shi Tiesheng" and "A Bing".

Embodiment 3

When the user enters the query word "Forrest Gump" (Inspirational film starring Tom Hanks, Oscar 6 awards in 1995), other search needs that users may be interested in when the main search needs are met Including: other Oscar-winning film works, classics Inspirational film, other works starring Tom Hanks.

Please refer to FIG. 6 , which is a second example diagram of the recommended entity in the search result page in the prior art. As shown in the figure, in the conventional technical solution, the recommended entity recommends “Shawshank Redemption” and “Chasing” around the Forrest Gump Dress. There are several entities such as "Dream Heart" and "Becoming a Person". These are the famous movies of Oscar. The dimension of the recommendation entity is single and the description of the "relevant recommendation" is weak to the recommendation entity. Other search needs for users Can not fufill.

Please refer to FIG. 7( a ) to FIG. 7( c ) , which are third exemplary diagrams of recommended entities in a search result page according to an embodiment of the present invention. As shown in Fig. 7(a), the entities such as "Birdman", "Flying over the madhouse", "the burning years", and "the fantasy drifting of the juveniles" are summarized in a collection of entities, extracting common features and generating description information. The Oscar-winning work of the box office is as high as that of Forrest Gump." The collection of entities such as "Shawshank's Redemption", "When Happiness Comes to Knock", "Never Give Up", "Spring of the Cowboy Class", etc., and adds descriptive information to the collection of the entity "as classic as Forrest Gump Must-see inspirational movie." In addition, you can add a collection of entities such as "Mermaid", "Captain Philip", "Philadelphia Story" and "The Rest of the Desert", and add a description for the collection of the entity "The same popular movie starring Tom Hanks" .

As shown in FIG. 7( a ), the three entity sets are respectively matched with the multi-image aggregated picture, and the pictures of the five most representative entities in each entity set are combined, compared with the conventional technical solution. The technical solution provided by the embodiment of the invention achieves the upgrade from the entity recommendation to the entity collection recommendation.

As shown in Figure 7(b), when the user is interested in other classic inspirational movies, click on the description of the entity collection, "The same as the inspirational movie that is the classic must-see for Forrest Gump", then the new page will be displayed, as well as in the new The page displays the banner, which displays all the recommended entities included in the collection, such as "Shawshank Redemption", "When happiness hits the door", "Never give up", "Spring in the cattle class" and so on. The user selects the recommended entity of interest by selecting, and the current page will display the search result of the recommended entity.

When the user wants to continue browsing other entity collections, he can return to the original search result page, and further click on the description information "Oscar-winning works that are as high as the box office of Forrest Gump", as shown in Figure 7(c), which can be searched by the original search. The results page jumps to a new page of the recommended entities contained in the collection of entities corresponding to the "Oscar Winning Works at the same box office as Forrest Gump".

Please refer to FIG. 8( a ) to FIG. 8( b ) , which are fourth exemplary diagrams of recommended entities in a search result page according to an embodiment of the present invention. As shown in Fig. 8(a), if the user is interested in "inspirational movies that are as classic as Forrest Gump", click on the description information to display the entity models in the search results page related to the query words. The drop-down box is displayed below, and the recommended entities in the entity set corresponding to the description information are displayed in the drop-down box, such as "never compromise", "Jordan passer", "successor" and "weakness". As shown in Figure 8(b), if the user is interested in "Oscar-winning works that are as high as the box office of Forrest Gump", click on the description information to display the entity models in the search results page related to the query word. The drop-down box is displayed below, and the recommended entities in the entity set corresponding to the description information are displayed in the drop-down box, such as "Birdman", "Pirates of Dreams", "School Fantasy Drifting", "Imitation Game" and other recommended entities. .

Embodiments of the present invention further provide an apparatus embodiment for implementing the steps and methods in the foregoing method embodiments.

Please refer to FIG. 9, which is a functional block diagram of an entity recommendation apparatus according to an embodiment of the present invention. As shown, the device includes:

The entity obtaining module 91 is configured to obtain at least two entity sets according to the obtained query words;

The information obtaining module 92 is configured to: according to common features of each entity set and the query term, Generating corresponding description information for each entity set;

a recommendation display module 93, configured to display description information corresponding to each entity set in a search result page matching the query word, and display an entity collection corresponding to the clicked description information according to the description information clicked by the user Each recommended entity is included.

In a specific implementation process, the entity obtaining module 91 is specifically configured to:

In a specific implementation process, the apparatus may further include: a picture generating module 94, configured to obtain a target picture that matches each entity set;

The recommendation display module 93 is configured to: perform a corresponding display of the description information corresponding to each entity set and the target image in a search result page that matches the query word.

In a specific implementation process, the image generating module 94 is specifically configured to:

In a specific implementation process, the recommendation display module 93 is specifically configured to:

In a specific implementation process, each of the recommended entities is displayed in the new page by using a banner; the recommendation display module 93 is further configured to:

In a specific implementation process, the recommendation display module 93 is further configured to: display navigation information between the clicked recommendation entity and the query word in the pass column;

Alternatively, in a specific implementation process, the recommendation display module 93 is specifically configured to:

And displaying, according to the description information that the user clicks, a drop-down box is displayed below the description information in the search result page matching the query word, and displaying, by using the drop-down box, the entity set corresponding to the description information that the user clicks includes Each recommended entity.

Since the units in this embodiment can perform the method shown in FIG. 1, and the parts not described in detail in this embodiment, reference may be made to the related description of FIG.

The technical solution of the embodiment of the invention has the following beneficial effects:

In the embodiment of the present invention, at least two entity sets are obtained according to the obtained query words; thus, corresponding description information is generated for each entity set according to the common features of each entity set and the query words; The search result page corresponding to the query word displays the description information corresponding to each entity set, and displays each recommended entity included in the entity set corresponding to the clicked description information according to the description information clicked by the user.

The technical solution provided by the embodiment of the present invention can provide multiple entity sets in a search result page. The description information of the combination, and can further display the recommended entities included in the entity set, and the technical solution provided by the embodiment of the present invention can output multiple categories as compared with the technical solution that only provides the recommendation entity with a single category in the prior art. A large number of recommended entities, which improves the diversity of recommended entities in the search results page. Moreover, compared with the technical solution in which the recommendation relationship between the recommendation entity and the query term is not clear in the prior art, in the embodiment of the present invention, the recommendation relationship between the query word and the recommendation entity may be output by outputting the description information corresponding to the entity set. To help users quickly get the entities they need and improve the efficiency of getting recommended entities from search results pages.

A person skilled in the art can clearly understand that for the convenience and brevity of the description, the specific working process of the system, the device and the unit described above can refer to the corresponding process in the foregoing method embodiment, and details are not described herein again.

In the several embodiments provided by the present invention, it should be understood that the disclosed system, apparatus, and method may be implemented in other manners. For example, the device embodiments described above are merely illustrative. For example, the division of the unit is only a logical function division. In actual implementation, there may be another division manner. For example, multiple units or components may be combined. Or it can be integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device or unit, and may be in an electrical, mechanical or other form.

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

In addition, each functional unit in each embodiment of the present invention 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. The above integrated unit can be implemented in the form of hardware or in the form of hardware plus software functional units.

The above-described integrated unit implemented in the form of a software functional unit can be stored in a computer readable storage medium. The above software functional unit is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor to perform the methods of the various embodiments of the present invention. Part of the steps. The foregoing storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, and the like, which can store program codes. .

The above are only the preferred embodiments of the present invention, and are not intended to limit the present invention. Any modifications, equivalents, improvements, etc., which are made within the spirit and principles of the present invention, should be included in the present invention. Within the scope of protection.

Claims

An entity recommendation method, the method comprising:

Obtaining at least two entity sets according to the obtained query words;

Generating corresponding description information for each entity set according to common features of each entity set and the query word;

The description information corresponding to each entity set is displayed in the search result page matching the query word, and each recommended entity included in the entity set corresponding to the clicked description information is displayed according to the description information clicked by the user.
The method according to claim 1, wherein the obtaining at least two entity sets according to the obtained query words comprises:

Obtaining at least two entities with the highest heat among the entities related to the search entity according to the search entity included in the query word; and clustering the at least two entities to obtain the at least two Entity collection; or,

Obtaining at least two candidate sets that match the search entity and the search requirement information according to the search entity and the search requirement information included in the query word, according to the relevance of each candidate set to the search demand information, The at least two entity sets are obtained from at least two candidate sets.
The method according to claim 1, wherein the description information corresponding to each entity set is displayed in a search result page that matches the query word, including:

Obtaining a target image that matches the collection of entities;

In the search result page matching the query word, the corresponding display of the description information corresponding to each entity set and the target image is performed.
Method according to claim 3, characterized in that the collection of entities is obtained Matching target images, including:

For each of the set of entities, obtaining a target picture that matches the set of entities; or,

For each of the set of entities, at least two candidate pictures that match the set of entities are obtained, and the at least two candidate pictures are puzzled to generate a target picture that matches the set of entities.
The method according to claim 1, wherein the displaying the recommended entities included in the set of entities corresponding to the clicked description information according to the description information that the user clicks on includes:

The page rendering is performed by using each recommended entity included in the entity set corresponding to the description information clicked by the user to display a new page including each recommended entity.
The method according to claim 5, wherein each of the recommended entities is displayed in the new page by using a banner; the method further includes:

The search result matching the clicked recommended entity is displayed below the banner in the new page according to the recommended entity clicked in each recommended entity displayed by the user in the through-column.
The method of claim 6 wherein the method further comprises:

Displaying navigation information between the clicked recommendation entity and the query word in the pass column;

The navigation information includes the query word, description information corresponding to the set of entities in which the recommended entity is located, and the recommended entity that is clicked.
The method according to claim 1, wherein the displaying the recommended entities included in the set of entities corresponding to the clicked description information according to the description information that the user clicks on includes:

According to the description information clicked by the user, a search result page matching the query word The drop-down box is displayed below the description information, and the recommended entities included in the entity set corresponding to the description information that the user clicks are displayed by using the drop-down box.
An entity recommendation device, the device comprising:

An entity obtaining module, configured to obtain at least two entity sets according to the obtained query words;

An information obtaining module, configured to generate corresponding description information for each entity set according to a common feature of each entity set and the query word;

a recommendation display module, configured to display description information corresponding to each entity set in a search result page matching the query word, and display, according to the description information clicked by the user, the entity set corresponding to the clicked description information Each recommended entity.
The device according to claim 9, wherein the entity obtaining module is specifically configured to:

Obtaining at least two entities with the highest heat among the entities related to the search entity according to the search entity included in the query word; and clustering the at least two entities to obtain the at least two Entity collection; or,

Obtaining at least two candidate sets that match the search entity and the search requirement information according to the search entity and the search requirement information included in the query word, according to the relevance of each candidate set to the search demand information, The at least two entity sets are obtained from at least two candidate sets.
The device of claim 9 wherein:

The device further includes: a picture generating module, configured to obtain a target picture that matches the set of entities;

The recommendation display module is configured to: perform corresponding display of the description information corresponding to each entity set and the target image in a search result page that matches the query word.
The device according to claim 11, wherein the image generating module is specifically configured to:

For each of the set of entities, obtaining a target picture that matches the set of entities; or,

For each of the set of entities, at least two candidate pictures that match the set of entities are obtained, and the at least two candidate pictures are puzzled to generate a target picture that matches the set of entities.
The device according to claim 9, wherein the recommendation display module is specifically configured to:

The page rendering is performed by using each recommended entity included in the entity set corresponding to the description information clicked by the user to display a new page including each recommended entity.
The device according to claim 13, wherein each of the recommended entities is displayed in the new page by using a banner; the recommended display module is further configured to:

The search result matching the clicked recommended entity is displayed below the banner in the new page according to the recommended entity clicked in each recommended entity displayed by the user in the through-column.
The device according to claim 14, wherein the recommendation display module is further configured to: display navigation information between the clicked recommendation entity and the query word in the pass column;

The navigation information includes the query word, description information corresponding to the set of entities in which the recommended entity is located, and the recommended entity that is clicked.
The device according to claim 9, wherein the recommendation display module is specifically configured to:

According to the description information clicked by the user, a search result page matching the query word The drop-down box is displayed below the description information, and the recommended entities included in the entity set corresponding to the description information that the user clicks are displayed by using the drop-down box.
a device, including

One or more processors;

Memory

One or more programs, the one or more programs being stored in the memory, when executed by the one or more processors:

Obtaining at least two entity sets according to the obtained query words;

Generating corresponding description information for each entity set according to common features of each entity set and the query word;

The description information corresponding to each entity set is displayed in the search result page matching the query word, and each recommended entity included in the entity set corresponding to the clicked description information is displayed according to the description information clicked by the user.
A computer storage medium encoded with a computer program, when executed by one or more computers, causes the one or more computers to perform the following operations:

Obtaining at least two entity sets according to the obtained query words;

Generating corresponding description information for each entity set according to common features of each entity set and the query word;

The description information corresponding to each entity set is displayed in the search result page matching the query word, and each recommended entity included in the entity set corresponding to the clicked description information is displayed according to the description information clicked by the user.