CN114329189A

CN114329189A - Content information recommendation method and device, electronic equipment and readable medium

Info

Publication number: CN114329189A
Application number: CN202111517666.0A
Authority: CN
Inventors: 刘颖琪
Original assignee: Beijing 58 Information Technology Co Ltd
Current assignee: Beijing 58 Information Technology Co Ltd
Priority date: 2021-12-13
Filing date: 2021-12-13
Publication date: 2022-04-12
Anticipated expiration: 2041-12-13
Also published as: CN114329189B

Abstract

The embodiment of the invention provides a recommendation method, a recommendation device, electronic equipment and a readable medium of content information, wherein the method comprises the following steps: when a user searches for content, the terminal may obtain corresponding search information according to a content search instruction input by the user, and determine a search result corresponding to the search information, where the search result may include a content object, and then may render a content recommendation interface according to a matching degree between the content object and the user information, where the content recommendation interface may include a content recommendation map, the content recommendation map may include a plurality of recommendation levels corresponding to different matching conditions, and each recommendation level may include a plurality of recommendation nodes, and when the content recommendation interface is displayed, a target object identifier of a target content object whose matching degree satisfies the matching conditions may be displayed in the recommendation nodes of the recommendation levels.

Description

Content information recommendation method and device, electronic equipment and readable medium

Technical Field

The present invention relates to the field of computer technologies, and in particular, to a method and an apparatus for recommending content information, an electronic device, and a computer-readable medium.

Background

The user may use or purchase various types of content provided by the platform through the content platform. In order to facilitate the user to search the content provided by the platform, the platform correspondingly provides the content recommendation service for the user. Based on the content recommendation service, the user can view a plurality of contents displayed in the content recommendation interface on the content platform and select the contents according to the interest of the user. However, for a plurality of contents displayed in the content recommendation interface, a list form is often adopted for displaying, and the display mode is single, so that a user cannot intuitively and quickly acquire information.

Disclosure of Invention

The embodiment of the invention provides a recommendation method and device of content information, electronic equipment and a computer readable storage medium, and aims to solve or partially solve the problem that a user cannot intuitively and quickly acquire information due to a single display mode when the information is displayed in the related technology.

The embodiment of the invention discloses a recommendation method of content information, which comprises the following steps:

responding to a content searching instruction, acquiring searching information corresponding to the content searching instruction, and determining a searching result corresponding to the searching information, wherein the searching result at least comprises a content object;

acquiring the matching degree between the content object and preset user information;

displaying a content recommendation interface corresponding to the search result, wherein the content recommendation interface comprises a content recommendation graph, and the content recommendation graph comprises a plurality of recommendation levels corresponding to different matching conditions;

and displaying the target object identification of the target content object with the matching degree meeting the matching condition in the recommendation node of the recommendation level according to preset content display information.

Optionally, the search result further includes object information of the content object, and the displaying, according to preset content display information, a target object identifier of a target content object whose matching degree meets a matching condition in a recommendation node of the recommendation level includes:

according to preset content display information, displaying target object identification of a target content object with matching degree meeting matching conditions in a recommendation node of the recommendation level, and displaying target object information corresponding to the target content object in the content recommendation interface

Optionally, the displaying, according to preset content display information, a target object identifier of a target content object whose matching degree meets a matching condition in a recommendation node of the recommendation hierarchy includes:

acquiring content display information aiming at the content recommendation graph;

if the content display information representation carries out content display according to recommendation priority, acquiring the recommendation priority of each recommendation level, wherein the higher the recommendation priority is, the higher the matching degree between a target content object corresponding to the recommendation level and the user information is;

taking the recommendation level with the highest recommendation priority as the current recommendation level for content recommendation, and determining the current content object corresponding to the current recommendation level;

displaying a first target object identification of the current content object in each recommendation node in the current recommendation hierarchy.

Optionally, the displaying, according to preset content display information, a target object identifier of a target content object whose matching degree meets the matching condition in a recommendation node of the recommendation level includes:

if the content display information represents that the content display is carried out on the recommendation nodes of each recommendation level, comparing the matching degree corresponding to the content object with each matching threshold range, and screening out the target content object corresponding to each recommendation level;

acquiring a target object identifier of the target content object;

and displaying the target object identification in a recommendation node of the recommendation level.

Optionally, the method further comprises:

in response to a level selection instruction for the content recommendation map, determining a current recommendation level corresponding to the level selection instruction and a current content object corresponding to the current recommendation level;

the method comprises the steps of keeping the display of a first target object identifier of the current content object in each recommendation node in the current recommendation level, and hiding the content displayed by each recommendation node in other recommendation levels except the current recommendation level.

Optionally, the method further comprises:

in response to a level switching instruction, determining a target recommendation level corresponding to the level switching instruction and a target content object corresponding to the target recommendation level, and displaying a second target object identification of the target content object in each recommendation node in the target recommendation level;

hiding the content displayed by each recommendation node in the current recommendation level.

Optionally, the determining, in response to a hierarchical switching instruction, a target recommendation level corresponding to the hierarchical switching instruction and a target content object corresponding to the target recommendation level, and displaying a second target object identifier of the target content object in each recommendation node in the target recommendation level includes:

in response to selection operation of recommendation nodes of other recommendation levels except the current recommendation level in the content recommendation graph, determining a first target recommendation node corresponding to the selection operation, and determining a target content object corresponding to a target recommendation level by taking the recommendation level to which the first target recommendation node belongs as the target recommendation level;

displaying a second target object identification of the target content object in each recommendation node in the target recommendation hierarchy.

responding to a selection operation aiming at an internal region or an external region of the current recommendation level in the content recommendation map, if the internal region or the external region of the current recommendation level has an adjacent recommendation level, taking the adjacent recommendation level as a target recommendation level, and determining a target content object corresponding to the target recommendation level;

responding to sliding operation of the content recommendation graph, determining a target recommendation level according to the sliding operation, and acquiring a target content object corresponding to the target recommendation level;

Optionally, the method further comprises:

responding to the selection operation aiming at the recommended node, determining a second target recommended node corresponding to the selection operation, and displaying a content detail page corresponding to the second target recommended node;

or responding to the selection operation aiming at the target object information, and displaying a content detail page corresponding to the target object information aiming at the selection operation.

Optionally, the recommendation level is a polygon or a circle, and a plurality of polygons and/or circles are nested according to a level to form the content recommendation graph; and the vertex of the polygon is the recommended node, and each circle is divided into a plurality of recommended nodes according to equal distance.

Optionally, the content object includes one of a house source object, a car source object, a merchandise object, and job information.

Optionally, the target object information includes one or more of price information, object identification, profile information, topic information, and matching degree of the target content object.

The embodiment of the invention also discloses a recommendation device of the content information, which comprises the following steps:

the search result determining module is used for responding to a content search instruction, acquiring search information corresponding to the content search instruction, and determining a search result corresponding to the search information, wherein the search result at least comprises a content object;

the matching degree acquisition module is used for acquiring the matching degree between the content object and preset user information;

the content recommendation graph display module is used for displaying a content recommendation interface corresponding to the search result, wherein the content recommendation interface comprises a content recommendation graph, and the content recommendation graph comprises a plurality of recommendation levels corresponding to different matching conditions;

and the information display module is used for displaying the target object identification of the target content object with the matching degree meeting the matching condition in the recommendation node of the recommendation level according to preset content display information.

Optionally, the search result further includes object information of the content object, and the information display module is specifically configured to:

and according to preset content display information, displaying a target object identifier of a target content object with matching degree meeting a matching condition in a recommendation node of the recommendation level, and displaying target object information corresponding to the target content object in the content recommendation interface.

Optionally, the information display module includes:

the content display information acquisition submodule is used for acquiring content display information aiming at the content recommendation map;

a recommendation priority obtaining sub-module, configured to obtain a recommendation priority of each recommendation level if the content display information representation displays content according to a recommendation priority, where a higher recommendation priority represents a higher matching degree between a target content object corresponding to the recommendation level and the user information;

the current content object determination submodule is used for taking the recommendation level with the highest recommendation priority as the current recommendation level for recommending the content and determining the current content object corresponding to the current recommendation level;

and the first object identification display sub-module is used for displaying the first target object identification of the current content object in each recommendation node in the current recommendation level.

Optionally, the matching condition includes a matching threshold range corresponding to the recommendation level, and the information display module includes:

the target content object screening submodule is used for comparing the matching degree corresponding to the content object with each matching threshold range and screening out the target content object corresponding to each recommendation level if the content display information represents that the recommendation nodes of each recommendation level are subjected to content display;

the object identification obtaining submodule is used for obtaining the target object identification of the target content object;

and the object identifier display submodule is used for displaying the target object identifier in the recommendation node of the recommendation level.

Optionally, the method further comprises:

a hierarchy selection module, configured to determine, in response to a hierarchy selection instruction for the content recommendation map, a current recommendation hierarchy corresponding to the hierarchy selection instruction and a current content object corresponding to the current recommendation hierarchy;

and the content display processing module is used for keeping the display of the first target object identifier of the current content object in each recommendation node in the current recommendation level and hiding the content displayed by each recommendation node in other recommendation levels except the current recommendation level.

Optionally, the method further comprises:

the hierarchical switching module is used for responding to a hierarchical switching instruction, determining a target recommendation level corresponding to the hierarchical switching instruction and a target content object corresponding to the target recommendation level, and displaying a second target object identifier of the target content object in each recommendation node in the target recommendation level;

and the content hiding module is used for hiding the content displayed by each recommendation node in the current recommendation level.

Optionally, the hierarchical switching module is specifically configured to:

displaying a second target object identification of the target content object in each recommendation node in the target recommendation hierarchy;

wherein the target region is an inner region or an outer region of the current recommendation level.

Optionally, the hierarchical switching module is specifically configured to:

Optionally, the method further comprises:

and the content detail page display module is used for responding to the selection operation aiming at the recommendation node, determining a second target recommendation node corresponding to the selection operation, and displaying the content detail page corresponding to the second target recommendation node, or responding to the selection operation aiming at the target object information, and displaying the content detail page corresponding to the target object information aiming at the selection operation.

The embodiment of the invention also discloses electronic equipment which comprises a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory finish mutual communication through the communication bus;

the memory is used for storing a computer program;

the processor is configured to implement the method according to the embodiment of the present invention when executing the program stored in the memory.

Also disclosed are one or more computer-readable media having instructions stored thereon, which, when executed by one or more processors, cause the processors to perform a method according to an embodiment of the invention.

The embodiment of the invention has the following advantages:

in the embodiment of the invention, when a user searches content, a terminal can obtain corresponding search information according to a content search instruction input by the user, and determine a search result corresponding to the search information, the search result can comprise a content object, then a content recommendation interface can be rendered according to the matching degree between the content object and the user information, the content recommendation interface can comprise a content recommendation graph, the content recommendation graph can comprise a plurality of recommendation levels corresponding to different matching conditions, and each recommendation level can comprise a plurality of recommendation nodes, when the content recommendation interface is displayed, a target object identification of a target content object with matching degree meeting the matching conditions can be displayed in the recommendation nodes of the recommendation levels, so that the information is displayed differently from list display, the target content object with matching degree meeting the conditions is displayed through the content recommendation graph, the user can intuitively and quickly know the recommendation results of different matching conditions.

Drawings

Fig. 1 is a flowchart illustrating steps of a method for recommending content information according to an embodiment of the present invention;

FIG. 2 is a schematic diagram of a content recommendation graph provided in an embodiment of the present invention;

FIG. 3 is a schematic diagram of a content recommendation graph provided in an embodiment of the present invention;

FIG. 4 is a schematic diagram of a content recommendation interface provided in an embodiment of the present invention;

FIG. 5 is a schematic diagram of a content recommendation interface provided in an embodiment of the present invention;

fig. 6 is a block diagram showing a configuration of a content information recommendation apparatus according to an embodiment of the present invention;

fig. 7 is a block diagram of an electronic device provided in an embodiment of the invention;

fig. 8 is a schematic diagram of a computer-readable medium provided in an embodiment of the invention.

Detailed Description

In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.

As an example, with the development of network technology, users can use or purchase various types of content provided by the platform through the content platform, such as online shopping, online house watching, online car watching, online work finding, short video watching, articles watching and the like. In contrast, based on the content recommendation service, the user can view the content recommended by the terminal based on the user profile or the like on the content platform. The recommended contents displayed in the content recommendation interface are often displayed in a list mode, too many recommendation results cannot be displayed for the user at one time due to the limitation of the size of a terminal screen, so that the user cannot effectively acquire more contents, the list display mode is very traditional and too single, the user often slides down a plurality of pages to find the contents desired by the user, and the information acquisition mode of the user is not visual and rapid.

In this regard, one of the core invention points of the embodiment of the present invention is to optimize a content recommendation interface according to a search result, display a content recommendation map in the content recommendation interface according to a matching degree between user information and a content object in the search result, where the content recommendation map may include a plurality of recommendation levels corresponding to different matching conditions, and the recommendation levels may include a plurality of recommendation nodes, and display an object identifier of a corresponding content object through the recommendation nodes, specifically, when a user performs a content search, a terminal may obtain corresponding search information according to a content search instruction input by the user, and determine a search result corresponding to the search information, where the search result may include the content object and object information of the content object, and then may determine a matching degree between the content object and the user information, the method comprises the steps of rendering a content recommendation interface, wherein when the content recommendation interface is displayed, a terminal can display a target object identification of a target content object with matching degree meeting a matching condition in a recommendation node of a recommendation level, and display target object information corresponding to the target content object in the content recommendation interface, so that when information is displayed, the display is different from list display, the target content object with matching degree meeting the condition is displayed through a content recommendation graph, a user can visually and quickly know different recommendation results of different matching conditions, and the user can roughly know information of related content objects by displaying object information corresponding to the object identification in the recommendation node, so that the information acquisition mode of the user is enriched, and the information acquisition efficiency is improved.

In order to make those skilled in the art better understand the technical solutions of the embodiments of the present invention, some technical names related to the embodiments of the present invention are explained and illustrated below:

the content object may be a content object recommended by the terminal to the user, and may include a house source object, a car source object, a commodity object, job information, and the like, and different content objects may correspond to different application scenes, for example, for the house source object, a scene in which the user finds a house online through a content platform; for the car source object, the scene that the user sees the car on line through the content platform can be used; for the commodity object, the commodity object can be a scene that a user carries out online shopping through a content platform; for the job information, it may be a scene that the user performs online work finding through the content platform, and the like, which is not limited in the present invention.

The object information, which may be information corresponding to the content object, includes attribute information describing the content object, and association information between the content object and the user information, etc., and for example, may include price information, object identification, profile information, topic information, degree of matching, etc. In addition, the object information corresponding to different content objects may be different, for example, when the content object is a house source object, the object information may include a rent, a house source identifier, a house source location, and the like; when the content object is job information, the object information may include wages, job names, degree of matching, and the like.

The matching degree can be used for representing the matching condition between the content object and the user information, and the higher the matching degree is, the more the content object and the user information are matched; the lower the degree of matching, the greater the deviation between the characterizing content object and the user information.

User information, which may be information set by a user in a corresponding user account, or information determined by the terminal according to a historical operation of the user, for example, for the information set by the user, which may be a resume of the user, etc.; the information corresponding to the history operation may be information obtained by analyzing tendencies of user behaviors through browsing operation, comment operation, purchase operation, approval operation, and the like of the terminal.

Specifically, referring to fig. 1, a flowchart illustrating steps of a method for recommending content information provided in an embodiment of the present invention is shown, which may specifically include the following steps:

step 101, responding to a content search instruction, acquiring search information corresponding to the content search instruction, and determining a search result corresponding to the search information, wherein the search result at least comprises a content object;

optionally, the embodiment of the present invention may be applied to a user terminal, where a corresponding application program may be run in the user terminal, and an application interface is displayed through a graphical user interface of the user terminal, so that a user may perform a corresponding operation in the application interface. The user terminal may be a desktop computer, a notebook computer, a tablet computer, a mobile terminal, and the like, and the application program may include a life application program, an audio application program, a game application program, a job hunting application program, and the like.

In a specific implementation, in the process of running the application program, when a user wants to search for some content, the terminal may input a content search instruction in a search interface displayed by the terminal through a graphical user interface, and then the terminal may obtain search information corresponding to the content search instruction and obtain a search result corresponding to the search information, so as to recommend the corresponding content to the user according to the search result.

In one example, for a content search instruction, the terminal may provide different search controls in a search interface, so that a user may combine search information by selecting different search controls, and the terminal may determine a search condition according to a selection operation of the user on the search controls and obtain a corresponding search result; in another example, the terminal may provide a search input field in the search interface, and the user may perform content search by inputting a search keyword in the search input field, and the terminal may determine a search condition according to the content input by the user and obtain a corresponding search result, and the like, which is not limited in this disclosure.

102, acquiring the matching degree between the content object and preset user information;

after the terminal obtains the corresponding search result according to the content search instruction of the user, the content objects in the search result can be compared with the user information, and the matching degree between each content object and the user information is determined. Specifically, the search result may further include object information of each content object, and the object information of the content object may be compared with the user information to determine a matching degree between the two.

It should be noted that, for the determination of the matching degree, it may be related to the prior art, for example, in a job hunting scene, after obtaining a plurality of job information according to a search instruction of a user, the job information may be compared with resume information of the user, and the matching degree between the resume information of the user and each job information is determined, which is not limited in the present invention.

103, displaying a content recommendation interface corresponding to the search result, wherein the content recommendation interface comprises a content recommendation graph, and the content recommendation graph comprises a plurality of recommendation levels corresponding to different matching conditions;

in the embodiment of the invention, the terminal can render the content recommendation interface according to the matching degree between the user information and each content object, the content recommendation interface can comprise a content recommendation graph, and the content recommendation graph can comprise a plurality of recommendation levels corresponding to different matching conditions. The matching condition may include a matching threshold range corresponding to the recommendation level, and the matching threshold ranges corresponding to different recommendation levels are different.

Alternatively, the recommendation levels may be visually displayed in a polygon and/or a circle, and the content recommendation map may be a map in which a plurality of polygons or circles are nested in a hierarchy. In addition, if the recommendation level is a polygon, each vertex of the polygon may be a recommendation node; if the recommendation level is circular, a plurality of nodes are equally divided in the circle to serve as recommendation nodes, and each recommendation node is used for recommending a content object, so that the recommendation content is visually displayed through different recommendation levels in the content recommendation graph. For the content displayed in the content recommendation graph, the same recommendation level can display the same type of content or different content with matching degree meeting the condition, for example, when position information is recommended, different position information of the same work type can be recommended through different recommendation nodes in the same recommendation level, and position information corresponding to different work types can also be recommended, so that on one hand, more visual browsing experience can be brought to a user through a visual display mode, on the other hand, through displaying the same type of content objects or different types of content objects in the content recommendation graph, multiple search results of the same type can be provided for the user, or multiple search results of different types can be provided, the types of content recommendation are greatly enriched, and more content selections are provided for the user.

In an example, referring to fig. 2, a schematic diagram of a content recommendation graph provided in an embodiment of the present invention is shown, for the content recommendation graph, the content recommendation graph may be composed of three pentagons of different sizes, the three pentagons are nested layer by layer from inside to outside, a vertex of each pentagon is a recommendation node of the recommendation level, and matching threshold ranges corresponding to different pentagons are different, it can be understood that the graph may also be a rectangle, a hexagon, and the like, which is not limited by the present invention; referring to fig. 3, a schematic diagram of a content recommendation graph provided in the embodiment of the present invention is shown, and for the content recommendation graph, the content recommendation graph may be composed of three circles with different radii, the three circles are nested in sequence from inside to outside, a plurality of recommendation nodes may be set for each circle at a certain interval, for example, one recommendation node is set for each 72 °, so that one recommendation level may correspond to 5 recommendation nodes, and the like, thereby visually displaying recommendation results based on the content recommendation graph, and enabling a user to intuitively and quickly obtain the recommendation results. It should be noted that the content recommendation map may also be a combination of polygons and circles, and the present invention is not limited to this.

And 104, displaying the target object identification of the target content object with the matching degree meeting the matching condition in the recommendation node of the recommendation level according to preset content display information.

In the specific implementation, after determining the matching degree between each content object and the user information, the terminal can compare the matching degree corresponding to each content object with each matching threshold range, screen out the target content object corresponding to each recommendation level, determine the target content object meeting the matching condition, then obtain the target object identifier of the target content object, then display the target object identifier in the recommendation node of the recommendation level according to the content display information set by the user, and simultaneously display the target object information corresponding to the target content object in the content recommendation interface, thereby distinguishing from list display when displaying information, displaying the target content object meeting the matching degree condition through the content recommendation map, and enabling the user to visually and quickly know recommendation results of different matching conditions, and by displaying the object information corresponding to the object identification in the recommendation node, the user can roughly know the information of the related content object, so that the information acquisition mode of the user is enriched, and the information acquisition efficiency is improved.

The content display information may be used to represent which display mode is used to display the content in the content recommendation graph, for example, display recommendation information at all recommendation nodes of the content recommendation graph, or display recommendation information with the highest matching degree in the content recommendation graph, and the like. Specifically, before the user searches for content, the user may first enter a content display setting interface of the application program, where the content display setting interface may include a display mode control, and the user may set content display information of the content recommendation graph through the display mode control, for example, the display mode control may be configured to be in a full display mode, so that the content recommendation graph may display corresponding recommendation information in all recommendation nodes when displaying content; the display mode control may be configured to be a priority display mode, so that the content recommendation map may preferentially recommend recommendation information with a high matching degree to the user when displaying the content, and the like.

Optionally, the object identifier may be an object name of the content object, and if the content object is a house source object, the object identifier may be a house source name of the house source object; if the content object is a vehicle source object, the object identifier can be the vehicle name of the vehicle source object; if the content object is position information, the object identifier can be a position name of the position information; if the content object is a commodity object, the object identification may be a commodity name of the commodity object, and so on. In addition, the object identifier may be displayed in a text form or a picture form, such as an appearance diagram of a vehicle or an appearance diagram of a commodity, and the present invention is not limited thereto.

In one example, the content recommendation graph comprises a recommendation level (i), a recommendation level (ii) and a recommendation level (iii) from inside to outside, wherein a matching threshold range corresponding to the recommendation level (i) is x is greater than or equal to 90, a matching threshold range corresponding to the recommendation level (ii) is greater than or equal to 80 and less than 90, and a matching threshold range corresponding to the recommendation level (iii) is x is less than 80. Assuming that the content objects include content objects a to w, wherein matching degrees corresponding to the content objects a to f are 90, 91, 92, 93, 94 and 95, matching degrees corresponding to the content objects g to n are 81, 82, 83, 84, 85, 86, 87 and 88, matching degrees corresponding to the content objects o to w are 79, 78, 77, 76, 75 and 74, respectively, the matching degrees between the content objects and the user information are compared with the matching threshold ranges, so that the matching threshold ranges of the content objects a to f meeting the recommendation level (i) can be obtained, the content objects a to f can be used as target content objects of the recommendation level (i), and object identifiers of the content objects a to f are displayed in recommendation nodes of the recommendation level (i); the content objects g to n meet the matching threshold range of the recommendation level II, the content objects g to n can be used as target content objects of the recommendation level II, and object identifications made by the content objects g to n are displayed in recommendation nodes of the recommendation level II; the content object o-content object w meet the matching threshold range of the recommendation level (c), the content object o-content object w can be used as a target content object of the recommendation level (c), object identifications made by the content object o-content object w are displayed in recommendation nodes of the recommendation level (c), and the target content object with the matching degree meeting the conditions is displayed through a content recommendation graph, so that a user can visually and quickly know recommendation results of different matching conditions.

Optionally, for the content recommendation graph, because the recommendation nodes of each recommendation level are limited, after screening out the target content objects that satisfy the matching conditions of each recommendation level, the terminal may select the target content objects with matching degrees topn (n may be the number of recommendation nodes) as the content displayed by each recommendation node in the recommendation level, for example, assuming that there are 10 target content objects that satisfy the matching threshold range of the recommendation level of the innermost layer in the content recommendation graph and only 5 recommendation nodes, the first 5 target content objects may be used as the content first displayed in the content recommendation graph in the sequence from high matching degrees to low matching degrees, and the user may display other target content objects not displayed according to the corresponding user operation in the subsequent process. In addition, in addition to selecting a target content object with a matching degree of topn as a content displayed by each recommendation node in a recommendation hierarchy, a display template configuration may be performed on the recommendation hierarchy in the content recommendation map, after determining a search result according to a user search operation, the terminal may flexibly adjust the display number of the recommendation nodes in the recommendation hierarchy according to the search result and the display model, specifically, the terminal may adjust the display number of the recommendation nodes in the recommendation hierarchy in real time according to a first number of the content objects in the search result and a second number of the recommendation nodes in the recommendation hierarchy (a default number of recommendation nodes), including if the first number is less than or equal to the second number, taking the first number as the display number of the recommendation nodes in the recommendation hierarchy, for example, a recommendation for a certain position includes 3 recommendation results in total, and the display template of the recommendation hierarchy defaults to a pentagon, the 5 vertexes of the pentagon correspond to the 5 recommendation nodes respectively, and as the recommendation results are only 3, the terminal can dynamically adjust the display template of the recommendation level to be a triangle, and respectively display the corresponding recommendation results in the recommendation nodes corresponding to the 3 vertexes of the triangle, and similarly, the display template of the recommendation level can be adjusted to be a rectangle, a hexagon, a heptagon and the like according to the number of the recommendation results; if the first number is larger than the second number, the default number is used for displaying, namely, the corresponding target content objects are displayed on the 5 recommendation nodes of the corresponding recommendation levels, so that the flexibility of content recommendation is greatly improved by configuring the display mode of the content recommendation graph, a user can configure the display mode according to the self requirement, the requirements of different users are met, and the use experience of the user is improved.

In addition, the content recommendation map comprises a plurality of recommendation levels, in one case, after the terminal screens out the target content objects meeting the matching threshold range of each recommendation level, the object identifiers of the target content objects can be displayed in the recommendation nodes of all recommendation levels, or the object identifiers of the target content objects can be displayed only in a certain recommendation level in the content recommendation map, such as the recommendation level with the highest matching threshold range, and all displays and a certain level display can be switched with each other, so that the information obtaining mode of the user is enriched through different display modes.

In an optional embodiment, for displaying recommended content in a content recommendation map according to recommendation priority, a terminal may first obtain content display information for the content recommendation map, if the content display information represents that the content is displayed according to the recommendation priority, obtain recommendation priorities of recommendation levels, where a higher recommendation priority represents a higher matching degree between a target content object corresponding to the recommendation level and user information, then may take the recommendation level with the highest recommendation priority as a current recommendation level for content recommendation, determine a current content object corresponding to the current recommendation level, and then display a first target object identifier of the current content object in each recommendation node in the current recommendation level.

For example, in the above process, the matching threshold range of the recommendation level (i) is the highest, and the corresponding recommendation priority is the highest, so that when the terminal displays a content recommendation interface, the terminal may default to display content objects meeting the conditions, including a content object f, a content object e, a content object d, a content object c, a content object b, and the like, in each recommendation node of the innermost recommendation level of the content recommendation graph, and simultaneously display target object information of the content objects in the content recommendation interface. Optionally, because the size of the screen of the terminal is limited, the target object information corresponding to all content objects may not be displayed completely, and the target object information may be displayed according to the matching degree, for example, the target object information of the content object f and the content object e is displayed by default, and the user may switch to display the target object information through a corresponding operation (for example, a sliding operation) so as to visually display the recommended content through the content recommendation map, so that the user may quickly and intuitively obtain the recommended information.

In another optional embodiment, for full display in the content recommendation map, the terminal may obtain content display information for the content recommendation map, if the content display information represents that content display is performed on recommendation nodes of each recommendation level, compare matching degrees corresponding to the content objects with each matching threshold range, screen out target content objects corresponding to each recommendation level, obtain target object identifiers of the target content objects, and then display the target object identifiers in the recommendation nodes of the recommendation levels.

In a specific implementation, the user may further input a corresponding hierarchy switching instruction to browse content objects corresponding to other recommendation hierarchies, and then the terminal may respond to a hierarchy selection instruction for the content recommendation map, determine a current recommendation hierarchy corresponding to the hierarchy selection instruction and a current content object corresponding to the current recommendation hierarchy, maintain display of a first target object identifier of the current content object in each recommendation node in the current recommendation hierarchy, and hide content displayed by each recommendation node in other recommendation hierarchies except the current recommendation hierarchy, so that the user may browse content objects of different matching situations through hierarchy switching, and a browsing manner of the user is enriched.

In one example, the terminal may determine, in response to a selection operation for recommendation nodes of recommendation levels other than the current recommendation level in the content recommendation graph, a first target recommendation node corresponding to the selection operation, determine, using the recommendation level to which the first target recommendation node belongs as a target recommendation level, a target content object corresponding to the target recommendation level, and then display, in each recommendation node in the target recommendation level, a second target object identifier of the target content object. Specifically, when the user selects any recommendation node in the content recommendation graph that is not in the current recommendation hierarchy (i.e., the current recommendation node displays the hierarchy of the object identifier), the terminal may determine that the user wants to know the target content object in the recommendation hierarchy to which the selected recommendation node belongs, and may hide the first target content object identifier displayed by each recommendation node in the current recommendation hierarchy that is originally displayed, then display the second target object identifier of the corresponding target content object in each recommendation node in the recommendation hierarchy to which the recommendation node selected by the user belongs, and simultaneously switch the first target object information of the current content object to the second target object information corresponding to the second target content in the content recommendation interface.

In another example, the terminal may respond to a selection operation for an internal region or an external region of a current recommendation level in the content recommendation map, if an adjacent recommendation level exists in the internal region or the external region of the current recommendation level, the adjacent recommendation level is used as a target recommendation level, a target content object corresponding to the target recommendation level is determined, and then a second target object identifier of the target content object is displayed in each recommendation node in the target recommendation level; in addition, if the adjacent recommendation level does not exist in the internal region or the external region of the current recommendation level, the terminal does not respond and continues to display the current recommendation level. The target area is an inner area or an outer area of the current recommendation level. In the content recommendation map, a blank area can be formed between two adjacent recommendation levels, and when a user clicks the corresponding blank area, the terminal can judge the browsing intention of the user according to the position corresponding to the blank area, so as to determine the target recommendation level corresponding to the control operation.

For example, assuming that a recommendation level of a content recommendation graph sequentially comprises a recommendation level I, a recommendation level II and a recommendation level III from inside to outside, if the current recommendation level is the recommendation level I, when a user clicks an internal region of the recommendation level I, the terminal can keep displaying the content of the recommendation level I because the internal region of the recommendation level I has no adjacent recommendation level, and when the user clicks an external region of the recommendation level I, the terminal can display a target content object corresponding to the recommendation level II in a switching manner and hide the target content object corresponding to the recommendation level I. In addition, for the level switching process of the recommendation level (c) and the recommendation level (c), the processing process of the recommendation level (c) may be referred to, and is not described herein again.

In another example, the terminal may determine a target recommendation level according to a sliding operation in response to the sliding operation for the content recommendation graph, obtain a target content object corresponding to the target recommendation level, and then display a second target object identifier of the target content object in each recommendation node in the target recommendation level. Specifically, the user can input corresponding sliding operation in the terminal to realize display switching of the recommendation level, for example, double-finger inward sliding in the content recommendation graph can realize switching to an external recommendation level, such as switching from the recommendation level (i) to the recommendation level (ii); the double-finger outward sliding can realize switching to the internal recommendation level, such as switching from the recommendation level (ii) to the recommendation level (i), and the invention is not limited thereto.

In order to further improve the interactive experience of the user and enrich the information display mode, the terminal can respond to that the recommendation nodes of all recommendation levels display the object identifications of the content objects, and display the object identifications of the corresponding content objects in the recommendation nodes of all recommendation levels in the content recommendation graph. Specifically, when the terminal displays the content recommendation graph, the terminal can display the object identifier of the content object in each recommendation node of the recommendation level with the highest matching degree, and then along with a level switching instruction input by the user, the terminal can switch and display the object identifier of the content object corresponding to another recommendation level, and after all recommendation levels are displayed at least once (for example, the recommendation level (i), the recommendation level (ii), the recommendation level (iii) and the like all display the object identifier of the content object at least once), the terminal can display the target content object in each recommendation node of all recommendation levels in the content recommendation graph, so that the user can compare the content objects with different matching degrees conveniently, and the user can make further browsing decisions through information comparison while enriching information display modes.

In addition, when the user wants to further know the detail information of the target content object, the corresponding detail page can be accessed through the recommendation node or the target object information, so as to browse more detailed object information in the detail page. Specifically, the terminal may determine, in response to the selection operation for the recommendation node, a second target recommendation node corresponding to the selection operation, and display a content detail page corresponding to the second target recommendation node, or, in response to the selection operation for the target object information, display a content detail page corresponding to the target object information to which the selection operation is directed.

It should be noted that, the embodiment of the present invention includes but is not limited to the above examples, and it is understood that, under the guidance of the idea of the embodiment of the present invention, a person skilled in the art may also set the method according to practical requirements, and the present invention is not limited to this.

In order to make the technical solutions of the embodiments of the present invention better understood by those skilled in the art, the following is an exemplary description.

In a job hunting scene, when a user wants to find recruitment information of a certain job or wants to find recruitment information matched with the user, the user can search through a corresponding recruitment application program, for example, if the user wants to find the recruitment information matched with the user, referring to fig. 4, a schematic diagram of a content recommendation interface provided in the embodiment of the present invention is shown, the application program is run through a terminal, and the content recommendation interface 40 is displayed in a graphical user interface, and the content recommendation interface 40 can include job position recommendation content which is screened out according to the recruitment information and the like released by a recruiter according to personal resume information stored in the recruitment application program by the user. A content recommendation graph 410 and a number of target object information 420 may be included in the content recommendation interface 40, wherein the content recommendation graph 410 may include a user avatar 4101 and three recommendation levels 4102, each recommendation level 4102 may include a number of recommendation nodes 41021. Under a default condition, the matching degree of the recommendation level of the innermost layer is the highest, and the recommendation level is preferentially displayed for the user, for example, the innermost recommendation level in fig. 4 respectively displays the position names of five different workshops such as "servicer", "beauty salon", "sales representative" and "market specialist", and the target object information 420 displayed in the content recommendation interface 40 includes the related information (including position wages, position names, matching degree and tribal related topics, etc.) of the "servicer" and the "beauty salon" and the partial information of the "sales", so that the position information corresponding to the multiple workshops matched with the user is recommended for the user in the content recommendation map, thereby facilitating the user to know the positions matched with the user on one hand, enriching the types of content recommendation on the other hand, enriching the job hunting ideas of the user, and enabling the user to select the positions according to the needs of the user, effectively improving job hunting experience of the user. Optionally, for the clan related topic in the target object information 420, it may be a "hyperlink", and when the user clicks the clan related topic in the target object information, the terminal may jump to an interface corresponding to the clan related topic, so that the user acquires corresponding information, so that when displaying information, the display is different from the list display, and the target content object whose matching degree meets the condition is displayed through the content recommendation map, so that the user can intuitively and quickly know recommendation results of different matching situations, and by displaying the object information corresponding to the object identifier in the recommendation node, the user can roughly know information of the related content object, thereby enriching the way for the user to acquire information, and improving the efficiency of acquiring information.

In addition, when the user wants to know the position information of other recommendation levels, the recommendation levels can be switched through corresponding user operation. Referring to fig. 5, which shows a schematic diagram of a content recommendation interface provided in an embodiment of the present invention, a content recommendation interface 50 is displayed in a graphical user interface, and when a user clicks an outer area of an innermost recommendation level, or slides inward in a content recommendation graph 510, or clicks a recommendation node 520 of an intermediate recommendation level, a terminal may hide and display position information displayed by each recommendation node of the innermost recommendation level, and display position information, such as "rider", "reseller", "prosperity", "invitation specialist", and "food deliverer", in each recommendation node of the intermediate recommendation level, so as to display corresponding content in target object information 530 below, and thus, through level switching, the user may browse content objects of different matching situations, thereby enriching browsing manners of the user.

It should be noted that, for simplicity of description, the method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present invention is not limited by the illustrated order of acts, as some steps may occur in other orders or concurrently in accordance with the embodiments of the present invention. Further, those skilled in the art will appreciate that the embodiments described in the specification are presently preferred and that no particular act is required to implement the invention.

Referring to fig. 6, a block diagram of a structure of a content information recommendation apparatus provided in an embodiment of the present invention is shown, which may specifically include the following modules:

a search result determining module 601, configured to, in response to a content search instruction, obtain search information corresponding to the content search instruction, and determine a search result corresponding to the search information, where the search result at least includes a content object;

a matching degree obtaining module 602, configured to obtain a matching degree between the content object and preset user information;

a content recommendation graph display module 603, configured to display a content recommendation interface corresponding to the search result, where the content recommendation interface includes a content recommendation graph that includes a plurality of recommendation levels corresponding to different matching conditions;

and an information display module 604, configured to display, according to preset content display information, a target object identifier of a target content object whose matching degree meets a matching condition in a recommendation node of the recommendation hierarchy.

In an optional embodiment, the search result further includes object information of the content object, and the information display module 604 is specifically configured to:

In an alternative embodiment, the information display module 604 includes:

In an alternative embodiment, the matching condition includes a matching threshold range corresponding to the recommendation level, and the information display module 604 includes:

In an alternative embodiment, further comprising:

In an optional embodiment, the hierarchical switching module is specifically configured to:

In an alternative embodiment, further comprising:

In an optional embodiment, the recommendation level is a polygon or a circle, and a plurality of polygons and/or circles are nested in a hierarchy to form the content recommendation graph; and the vertex of the polygon is the recommended node, and each circle is divided into a plurality of recommended nodes according to equal distance.

In an optional embodiment, the content object comprises one of a house source object, a car source object, a commodity object, and position information.

In an alternative embodiment, the target object information includes one or more of price information, object identification, profile information, topic information, and degree of match of the target content object.

For the device embodiment, since it is basically similar to the method embodiment, the description is simple, and for the relevant points, refer to the partial description of the method embodiment.

In addition, an electronic device is further provided in an embodiment of the present invention, as shown in fig. 7, and includes a processor 701, a communication interface 702, a memory 703 and a communication bus 704, where the processor 701, the communication interface 702, and the memory 703 complete mutual communication through the communication bus 704,

a memory 703 for storing a computer program;

the processor 701 is configured to implement the following steps when executing the program stored in the memory 703:

In an optional embodiment, the displaying, according to preset content display information, a target object identifier of a target content object whose matching degree satisfies a matching condition in a recommendation node of the recommendation hierarchy further includes:

In an optional embodiment, the displaying, according to preset content display information, a target object identifier of a target content object whose matching degree satisfies a matching condition in a recommendation node of the recommendation hierarchy includes:

In an optional embodiment, the displaying, according to preset content display information, a target object identifier of a target content object whose matching degree satisfies a matching condition in a recommendation node of the recommendation level includes:

acquiring a target object identifier of the target content object;

In an alternative embodiment, further comprising:

In an optional embodiment, the determining, in response to a hierarchical switching instruction, a target recommendation level corresponding to the hierarchical switching instruction and a target content object corresponding to the target recommendation level, and displaying a second target object identifier of the target content object in each recommendation node in the target recommendation level includes:

In an alternative embodiment, further comprising:

The communication bus mentioned in the above terminal may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The communication bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown, but this does not mean that there is only one bus or one type of bus.

The communication interface is used for communication between the terminal and other equipment.

The Memory may include a Random Access Memory (RAM) or a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. Optionally, the memory may also be at least one memory device located remotely from the processor.

The Processor may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; the Integrated Circuit may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, or a discrete hardware component.

As shown in fig. 8, in a further embodiment provided by the present invention, a computer-readable storage medium 801 is further provided, which stores instructions that, when executed on a computer, cause the computer to execute the recommendation method of content information described in the above-mentioned embodiment.

In still another embodiment provided by the present invention, there is also provided a computer program product containing instructions which, when run on a computer, cause the computer to execute the recommendation method for content information described in the above embodiments.

In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the invention to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website site, computer, server, or data center to another website site, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.

It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.

All the embodiments in the present specification are described in a related manner, and the same and similar parts among the embodiments may be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.

The above description is only for the preferred embodiment of the present invention, and is not intended to limit the scope of the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention shall fall within the protection scope of the present invention.

Claims

1. A method for recommending content information, comprising:

2. The method according to claim 1, wherein the search result further includes object information of the content object, and the displaying, according to preset content display information, a target object identifier of a target content object whose matching degree satisfies a matching condition in a recommendation node of the recommendation hierarchy includes:

3. The method according to claim 1 or 2, wherein the displaying, according to preset content display information, the target object identifier of the target content object whose matching degree meets the matching condition in the recommendation node of the recommendation level includes:

4. The method according to claim 1 or 2, wherein the matching condition includes a matching threshold range corresponding to the recommendation level, and the displaying, according to the preset content display information, the target object identifier of the target content object whose matching degree satisfies the matching condition in the recommendation node of the recommendation level includes:

acquiring a target object identifier of the target content object;

5. The method of claim 4, further comprising:

6. The method of claim 5, further comprising:

7. The method of claim 6, wherein the determining, in response to a tier switching instruction, a target recommendation tier corresponding to the tier switching instruction and a target content object corresponding to the target recommendation tier and displaying a second target object identification of the target content object in each recommendation node in the target recommendation tier comprises:

8. The method of claim 6, wherein the determining, in response to a tier switching instruction, a target recommendation tier corresponding to the tier switching instruction and a target content object corresponding to the target recommendation tier and displaying a second target object identification of the target content object in each recommendation node in the target recommendation tier comprises:

9. The method of claim 6, wherein the determining, in response to a tier switching instruction, a target recommendation tier corresponding to the tier switching instruction and a target content object corresponding to the target recommendation tier and displaying a second target object identification of the target content object in each recommendation node in the target recommendation tier comprises:

10. The method of claim 1, further comprising:

11. The method of claim 1, wherein the recommendation levels are polygons or circles, and a plurality of the polygons and/or circles are nested hierarchically to form the content recommendation graph; and the vertex of the polygon is the recommended node, and each circle is divided into a plurality of recommended nodes according to equal distance.

12. The method of claim 1, wherein the content object comprises one of a house source object, a car source object, a merchandise object, and job information.

13. The method of claim 1, wherein the target object information comprises one or more of price information, object identification, profile information, topic information, and degree of match of the target content object.

14. An apparatus for recommending content information, comprising:

15. An electronic device, comprising a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other via the communication bus;

the memory is used for storing a computer program;

the processor, when executing a program stored on the memory, implementing the method of any of claims 1-13.

16. One or more computer-readable media having instructions stored thereon that, when executed by one or more processors, cause the processors to perform the method of any of claims 1-13.