CN113704493A - Display information determining method, device, equipment and computer readable storage medium - Google Patents

Display information determining method, device, equipment and computer readable storage medium Download PDF

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Publication number
CN113704493A
CN113704493A CN202110997821.7A CN202110997821A CN113704493A CN 113704493 A CN113704493 A CN 113704493A CN 202110997821 A CN202110997821 A CN 202110997821A CN 113704493 A CN113704493 A CN 113704493A
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China
Prior art keywords
information
evaluation
target
determining
user
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CN202110997821.7A
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Chinese (zh)
Inventor
黄浩然
张驰
符式婵
李福祥
李航
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Beijing Youzhuju Network Technology Co Ltd
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Beijing Youzhuju Network Technology Co Ltd
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Priority to CN202110997821.7A priority Critical patent/CN113704493A/en
Publication of CN113704493A publication Critical patent/CN113704493A/en
Priority to PCT/CN2022/112788 priority patent/WO2023024976A1/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/36Creation of semantic tools, e.g. ontology or thesauri
    • G06F16/367Ontology
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/33Querying
    • G06F16/3331Query processing
    • G06F16/334Query execution
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/33Querying
    • G06F16/338Presentation of query results

Abstract

The application discloses a method, a device, equipment and a computer readable storage medium for determining display information, wherein the method comprises the following steps: acquiring first evaluation information corresponding to a user; determining a plurality of alternative paths in the knowledge graph by taking a first initial node in the knowledge graph corresponding to the first evaluation information as a root node; screening a first target path matched with the first evaluation information from the multiple alternative paths according to the first evaluation information; first target information to be displayed is determined based on the first target path. The technical scheme provided by each embodiment of the application can play a role in improving the efficiency of serving the user.

Description

Display information determining method, device, equipment and computer readable storage medium
Technical Field
The present application belongs to the field of computer technologies, and in particular, to a method, an apparatus, a device, and a computer-readable storage medium for determining display information.
Background
At present, for a commonly used learning system, after a user instruction is obtained, test question information is directly displayed to a user according to a fixed question bank set in advance according to a fixed sequence.
Disclosure of Invention
The embodiment of the application provides an implementation scheme different from the prior art so as to solve the technical problem of low service efficiency of providing information display service for users.
In a first aspect, the present application provides a method for determining display information, including: acquiring first evaluation information corresponding to a user; determining a plurality of alternative paths in the knowledge graph by taking a first initial node in the knowledge graph corresponding to the first evaluation information as a root node; screening a first target path matched with the first evaluation information from the multiple alternative paths according to the first evaluation information; first target information to be displayed is determined based on the first target path.
In a second aspect, the present application provides a data processing method, including: when a starting instruction of a user is detected, sending an information acquisition request to server equipment, so that the server equipment receives the information acquisition request and acquires first evaluation information corresponding to the user; determining a plurality of alternative paths in the knowledge graph by taking a first initial node in the knowledge graph corresponding to the first evaluation information as a root node; screening a first target path matched with the first evaluation information from the multiple alternative paths according to the first evaluation information; determining first target information to be displayed based on the first target path; receiving the first target information fed back by the server-side equipment; and displaying the first target information.
In a third aspect, the present application provides a display information determining apparatus, including: the acquisition module is used for acquiring first evaluation information corresponding to a user; the first determination module is used for determining a plurality of alternative paths in the knowledge graph by taking a first initial node in the knowledge graph corresponding to the first evaluation information as a root node; the screening module is used for screening a first target path matched with the first evaluation information from the multiple alternative paths according to the first evaluation information; and the second determining module is used for determining the first target information to be displayed based on the first target path.
In a fourth aspect, the present application provides an electronic device comprising:
a processor; and
a memory for storing executable instructions of the processor;
wherein the processor is configured to execute the presentation information determination method of the first aspect, the second aspect, or any of the possible implementations of the first aspect, or any of the possible implementations of the second aspect, via execution of executable instructions.
In a fifth aspect, embodiments of the present application provide a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the first aspect, the second aspect, or any of the possible implementations of the first aspect, or any of the possible implementations of the second aspect.
In a sixth aspect, an embodiment of the present application provides a computer program product, which includes a computer program that, when executed by a processor, implements the method of the first aspect, the second aspect, or any of the possible implementations of the first aspect, or any of the possible implementations of the second aspect.
According to the information display scheme, the information path matched with the evaluation information can be selected by combining the knowledge graph according to the evaluation information of the user, the target information to be displayed is determined, the information to be displayed can be more flexibly provided for the user, and the efficiency of serving the user is improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative efforts. In the drawings:
fig. 1 is a schematic structural diagram of a display information determination system according to an embodiment of the present application;
fig. 2 is a schematic flowchart of a display information determining method according to an embodiment of the present application;
fig. 3 is a schematic diagram illustrating a method for determining a first target path according to an embodiment of the present disclosure;
fig. 4 is a schematic diagram illustrating a method for determining a first target path according to another embodiment of the present application;
fig. 5 is a schematic structural diagram of a display information determining apparatus according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
Reference will now be made in detail to embodiments of the present application, examples of which are illustrated in the accompanying drawings. The embodiments described below with reference to the drawings are exemplary and intended to be used for explaining the present application and should not be construed as limiting the present application.
The terms "first" and "second," and the like in the description, the claims, and the drawings of the embodiments of the present application are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are, for example, capable of operation in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
First, some terms in the embodiments of the present application are explained below to facilitate understanding by those skilled in the art.
Knowledge graph: a knowledge structure for describing information about entities, attributes and relationships in the real world is visualized as a mesh interconnected by nodes and edges.
The inventor finds that, through research, in the prior art, when information for a user to observe is displayed for the user, preset fixed content is directly displayed for the user generally according to a gate class concerned by the user or a selected question bank, the information display mode for the user is single, the user experience is poor, and the efficiency of providing information display service for the user is low.
The following describes the technical solutions of the present application and how to solve the above technical problems with specific examples. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments. Embodiments of the present application will be described below with reference to the accompanying drawings.
Fig. 1 is a schematic structural diagram of a display information determination system provided in the present application, where the system includes: client device 11 and server device 12, wherein:
the client device 11 is used for sending an information acquisition request to the server device when a starting instruction of a user is detected;
the server-side device 12 is configured to receive the information acquisition request, and acquire first evaluation information corresponding to the user based on the information acquisition request; determining a plurality of alternative paths in the knowledge graph by taking a first initial node in the knowledge graph corresponding to the first evaluation information as a root node; screening a first target path matched with the first evaluation information from the multiple alternative paths according to the first evaluation information; first target information to be displayed is determined based on the first target path.
Specifically, the information acquisition request includes personal information of the user, the personal information may include a name, an account number, and the like, and the server device stores a corresponding relationship between the personal information of the user and the corresponding first evaluation information.
Optionally, after the server device 12 is configured to determine the first target information to be displayed based on the first target path, the server device is further configured to: the first target information is sent to the client device 11, so that the client device 11 presents the first target information.
Optionally, when the server device 12 is configured to determine the first target information to be displayed based on the first target path, the server device may further specifically be configured to: and determining corresponding associated characteristic information based on the first target path, and sending the associated characteristic information to the client device 11 so that the client device 11 determines the first target information based on the associated characteristic information.
The execution principle and the interaction process of the components in the embodiment of the system, such as the client device 11 and the server device 12, can be referred to the following description of the method embodiments.
Fig. 2 is a schematic flowchart of a method for determining presentation information according to an exemplary embodiment of the present application, where an execution subject of the method may be a server device, and the method at least includes the following steps:
201. acquiring first evaluation information corresponding to a user;
202. determining a plurality of alternative paths in the knowledge graph by taking a first initial node in the knowledge graph corresponding to the first evaluation information as a root node;
203. screening a first target path matched with the first evaluation information from the multiple alternative paths according to the first evaluation information;
204. first target information to be displayed is determined based on the first target path.
Specifically, the first evaluation information may include a plurality of evaluation items, and the plurality of evaluation items may include two of: favorite display mode, concerned field information and adequacy information.
Optionally, the favorite display mode refers to a display type preferred by the user, and the display type may include: explanation, recommendation and evaluation; the display mode can also comprise a display format, such as: video, text, pictures, voice, etc.
Optionally, the aforementioned area information of interest may include an area name of the area of interest or specific content in the area, and the diversification of the area information is not limited in this application, for example: history, geography, mathematics, the eight diagrams, characters, countries, etc.
Optionally, the aforementioned adequacy information may include specific adequacy content, and a degree of adequacy for the adequacy content, wherein the adequacy content may include: evaluating contents related to the field information and the evaluation questions; the degree of adequacy may specifically include score information or rating information, and the user adequacy information may be determined by the user's answer results to the evaluation questions presented in the historical time period.
Further, in step S201, the first evaluation information corresponding to the user may be evaluation information corresponding to the user at a first time, where the first time may be a current time, and the first evaluation information may be determined according to an analysis of the behavior information set of the user, and based on this, the method further includes:
s01, acquiring a behavior information set corresponding to the user at the first moment;
and S02, analyzing the behavior information set to obtain first evaluation information.
The behavior information set corresponding to the first time may be a behavior information set within a first preset time period that takes the first time as the termination time, that is, a behavior information set within a historical time period that takes the first time as the termination time, and the first preset time period may be set by related personnel.
The behavior information set is a set of a plurality of behavior information, and specifically, the behavior information may include: the dwell time of the user for the display mode, the dwell time of the user for the field information and the answer result of the user for the evaluation question; wherein, the answer result can be correct or wrong, score and grade, and the grade can comprise: excellent, good, passing and bad. In addition, the stay time length can be determined according to the time length from the observation of the related display information to the closing or cancellation of the watching of the related display information by the user; the field information, the evaluation questions and the like can be automatically displayed or displayed after the instructions of the user are obtained, the instructions of the user can be voice instructions or instructions for clicking related controls, and therefore the application is not limited.
Further, in the aforementioned S02, analyzing the behavior information set to obtain the first evaluation information may specifically include: and taking the behavior information set as an input parameter of an evaluation model, and executing the evaluation model to obtain first evaluation information, wherein the evaluation model is a machine learning model obtained by training a plurality of samples.
Further, in the foregoing step S203, the step of screening out the first target path matching the first evaluation information from the multiple candidate paths according to the first evaluation information may include the following steps:
s2031, determining multiple groups of characteristic information corresponding to multiple alternative paths;
s2032, determining a first target path matched with the plurality of evaluation items by using the plurality of groups of feature information and the plurality of evaluation items.
Specifically, the first initial node may be a node corresponding to an operable control currently operated by a user, may also be a default node of the system, and may also be a node corresponding to content that is last browsed when the user quits a related application program or page last time.
In S202, determining a plurality of candidate paths from the knowledge graph by using the first initial node in the knowledge graph corresponding to the first evaluation information as a root node may include: and searching adjacent edges and adjacent nodes of the root node in the knowledge graph by taking the target entity as the root node, searching adjacent edges and adjacent nodes of the adjacent nodes at the next layer through the adjacent nodes, and so on until the nodes at the last layer are searched, thereby obtaining a plurality of alternative paths.
Further, in step S2032, the determining, by using the plurality of sets of feature information and the plurality of evaluation items, a first target path matching the plurality of evaluation items may include:
s0231, traversing a plurality of groups of feature information to obtain associated feature information associated with any one or at least one of a plurality of evaluation items in each group of feature information;
s0232, determining a target characteristic information group with the largest number of associated characteristic information in the plurality of groups of characteristic information;
s0233, determining a first target path based on the target alternative path corresponding to the target characteristic information group.
Specifically, in the foregoing S2031, the multiple candidate paths and the multiple sets of feature information may be in one-to-one correspondence, that is, each candidate path corresponds to one set of feature information, specifically, each set of feature information may include one or more feature information, where the feature information may be: display mode, field information, evaluation content and the like.
When the feature information is the same as any one of the plurality of evaluation items, or the similarity between the feature information and any one of the plurality of evaluation items is greater than a preset similarity, or the feature information and any one of the plurality of evaluation items belong to the same corresponding relationship group, the feature information is determined to be associated feature information, and specifically, the manner of determining the similarity between the feature information and the evaluation item may refer to the prior art, and is not described herein again. Secondly, the corresponding relation group may be set by the relevant person, and the user's adequacy information may have a corresponding relation with the difficulty level of the evaluation content, for example: the user is poor in the degree of excellence in the field T1, and the ease of evaluating the content corresponding to the field T1 is simple and can be located in one correspondence group.
Further, before determining a target feature information group including the largest number of associated feature information among the plurality of groups of feature information, the method further includes: sorting the multiple groups of feature information according to the number of the associated feature information to obtain a sorting result; and determining the target characteristic information group with the maximum number of associated characteristic information according to the sorting result.
Further, the target alternative path in S0233 is a first target path, and after the first target path is determined, the first target information to be displayed may be determined based on the first target path.
Further, in order to ensure that the feature information corresponding to the first target path contains content with a higher degree of importance, that is, necessarily learning knowledge points, the step of screening out the first target path matching the first evaluation information from the multiple candidate paths according to the first evaluation information comprises:
screening a preset number of preselected paths matched with the first evaluation information from the multiple alternative paths according to the first evaluation information;
and taking the path with the most preset content items in the preset number of preselected paths as a first target path, wherein the preset content items can be content items with higher importance degree set for related personnel.
Further, the first target information to be displayed may include a plurality of pieces of sub information to be displayed, and the plurality of pieces of sub information to be displayed may be displayed according to the obtained viewing instruction of the user, and accordingly, the method further includes:
s21, acquiring a viewing request corresponding to the viewing instruction of the user;
s22, determining corresponding sub information to be displayed according to the viewing request;
s23, sending the sub information to be displayed to the client device, so that the client device displays the sub information to be displayed. Specifically, the viewing instruction may be an operation instruction of the user on an operable control in the presentation page at the client device, and different operable controls may correspond to different pieces of sub information to be presented.
Wherein, the sub-information to be displayed can correspond to elements in the knowledge graph, such as; the entity, relationship, or attribute may include content to be presented associated with the element, and the content to be presented may include: explaining videos, evaluation questions, encyclopedia contents, field information and the like, optionally, the contents to be displayed and the associated feature information may have a corresponding relationship, the associated feature information may correspond to the contents to be displayed and a display mode corresponding to the contents to be displayed.
Further, in the scheme of the present application, when displaying the sub information to be displayed, in order to further improve user experience, when it is detected that a display mode currently corresponding to the sub information to be displayed is different from a favorite display mode of a user, the method of the present application further includes: acquiring standby sub-information which is associated with the sub-information to be displayed and has the same corresponding display mode as the favorite display mode; and displaying the standby sub-information. Wherein, the spare sub-information is the same as or similar to the content contained in the display sub-information.
In other optional embodiments, when it is detected that the display mode currently corresponding to the sub information to be displayed is different from the favorite display mode of the user, the method of the present application further includes: and displaying the sub information to be displayed in a favorite display mode.
Further, the behavior information set in S02 may also be updated in real time, and accordingly, the method further includes: acquiring behavior information of a user aiming at the first target information; adding the behavior information to the behavior information set, the updated behavior information set also being usable for determination of second evaluation information. Determining first target information to be displayed, and when displaying at least part of sub information to be displayed in the first target information to be displayed according to the observation progress of the user, the method further comprises the following steps:
s281, detecting the distance at the second moment to determine whether the duration of the first target path reaches a preset duration (second preset duration), if so, determining that the duration of the first target path reaches the preset duration
S282, acquiring second evaluation information corresponding to the user at a second moment;
s283, searching a second target path matched with second evaluation information in the knowledge graph by taking a second initial node in the knowledge graph as a root node;
and S284, determining second target information to be displayed based on the second target path.
Specifically, the second time may be a current time, the preset duration may be set by a relevant person, and the second evaluation information corresponding to the second time is evaluation information in a time period in which the second time is an end time and the time for determining the first target path is an initial time. The second evaluation information may also be determined according to the behavior information set corresponding to the second time, and a manner of determining the second evaluation information based on the behavior information set corresponding to the second time is the same as the manner of determining the first evaluation information based on the behavior information set corresponding to the first time.
Further, in step S283, the second initial node is a node corresponding to the operable control operated by the user at the second time.
Further, in order to make the aforementioned knowledge graph cover the latest information with higher importance, the method of the present application further includes: acquiring update information aiming at the knowledge graph; updating the knowledge-graph based on the update information, wherein the update information may include at least one of: the present application is not limited to the extended content of the knowledge graph, or the revised content of the knowledge graph, or the deleted content of the knowledge graph.
Further, when the plurality of evaluation items includes the following three: in order to optimize the determined first target path during the favorite display mode, the concerned field information and the adequacy information, according to the difference of the types of the evaluation items, the weighting result of the number of the associated feature information of each alternative path for each evaluation item can be determined, and the alternative path with the highest score value in the corresponding weighting results can be used as the first target path, wherein the weighting coefficient corresponding to each evaluation item can be set by related personnel.
Through the scheme, a new target path and new target information can be determined in real time or periodically (the period is the same as the preset time in the step S281) according to the latest behavior information set of the user, information can be flexibly displayed for the user, and the efficiency of serving the user is improved. Furthermore, when the scheme of the application plans the learning path for the user, the learning level of the user to the knowledge is considered, the interesting fields of the user and the favorite display mode of the user are combined, the user can be effectively guided to roam in the learning system, and the purpose of teaching more efficiently and interestingly is achieved.
It should be noted that the method in the present application may be applicable to a server device or a client device, and the following scheme of the present application is further explained in combination with a specific scenario:
fig. 3 is a schematic diagram of a method for determining a first target path according to another embodiment of the present application, where fig. 3 includes an exemplary knowledge graph, and when a user observes information through a related application or a related page, if information observed last when the user quits service last is a country CO1, and the user requests a corresponding service again, a node corresponding to an entity country CO1 is a first initial node, and multiple alternative paths may at least include (for example):
alternative path 1: national CO 1-city C2;
alternative path 2: national CO 1-sea S1;
alternative path 3: national CO 1-character P1-city C1;
alternative path 4: national CO 1-character P1-work W1;
alternative path 5: national CO 1-cultural sports CU 1-region A1;
alternative path 6: national CO 1-cultural sports CU 1-character P1-works W1;
alternative path 7: national CO 1-cultural sports CU 1-character P1-City C1;
alternative path 8: national CO 1-City C1-character P1-works W1, etc.
If the plurality of evaluation items determined according to the behavior information set corresponding to the first moment are: when the country, evaluation, cultural movement, thought source and historical events are detected, the alternative path 1 contains 2 pieces of associated characteristic information (country CO1 and evaluation subject 3), the alternative path 2 contains 1 piece of associated characteristic information (country CO1), the candidate path 3 includes 1 piece of associated feature information (country CO1), the candidate path 4 includes 1 piece of associated feature information (country CO1), the candidate path 5 includes 6 pieces of associated feature information (country CO1, cultural movement CU1, historical events, thought sources, evaluation questions 1, evaluation questions 2), the candidate path 6 includes 4 pieces of associated feature information (country CO1, cultural movement CU1, historical events, evaluation questions 2), the candidate path 7 includes 4 pieces of associated feature information (country CO1, cultural movement CU1, historical events, evaluation questions 2), and the candidate path 8 includes 1 piece of associated feature information (country CO 1).
In the 8 candidate paths for illustration, the number of associated feature information included in the candidate path 5 is the largest, and therefore, the candidate path 5 is the first target path, and a plurality of associated feature information included in the candidate path 5 may serve as a plurality of contents to be displayed corresponding to a plurality of sub information to be displayed, where the plurality of associated feature information and the plurality of sub information to be displayed may correspond to each other one by one, or may be one-to-many, or many-to-one, and this application is not limited thereto.
It should be noted that, in fig. 3, the explanation content may be the explanation content of the corresponding entity, and specifically may be displayed in a manner including pictures and texts, and the detail display area is used for displaying specific content information.
Further, the present application also provides an information display method, which may specifically be seen in fig. 4, where fig. 4 is a schematic diagram of an information display method provided in another embodiment of the present application, and as shown in fig. 4, the method may at least include the following steps:
selecting a learning path by combining the knowledge graph and the user information;
determining a display mode of the information to be displayed based on the learning path;
displaying target information;
acquiring user behaviors according to the operation of a user on the displayed target information;
and enriching the user information according to the user behavior so as to further determine a new learning path.
The user information may be evaluation information of a user, and the specific implementation principle of this embodiment may be referred to in the foregoing embodiments, which is not described herein again.
Further, the present application also provides a data processing method, which is applicable to a client device, and includes: when a starting instruction of a user is detected, sending an information acquisition request to server equipment, so that the server equipment receives the information acquisition request and acquires first evaluation information corresponding to the user; determining a plurality of alternative paths in the knowledge graph by taking a first initial node in the knowledge graph corresponding to the first evaluation information as a root node; screening a first target path matched with the first evaluation information from the multiple alternative paths according to the first evaluation information; determining first target information to be displayed based on the first target path; receiving the first target information fed back by the server-side equipment; and displaying the first target information.
Specifically, the details corresponding to the present embodiment may be referred to the foregoing, and are not described herein again.
Fig. 5 is a schematic structural diagram of a presentation information determining apparatus according to an exemplary embodiment of the present application;
wherein, the device includes: an acquisition module 51, a first determination module 52, a screening module 53, and a second determination module 54; wherein:
an obtaining module 51, configured to obtain first evaluation information corresponding to a user;
a first determining module 52, configured to determine, by using a first initial node in the knowledge graph corresponding to the first evaluation information as a root node, a plurality of candidate paths in the knowledge graph;
the screening module 53 is configured to screen a first target path matched with the first evaluation information from the multiple candidate paths according to the first evaluation information;
a second determining module 54, configured to determine first target information to be displayed based on the first target path.
Optionally, the first evaluation information includes a plurality of evaluation items, and when the screening module 53 is configured to screen a first target path matching the first evaluation information from the plurality of candidate paths according to the first evaluation information, the screening module is specifically configured to:
determining multiple groups of characteristic information corresponding to multiple alternative paths;
and determining a first target path matched with the plurality of evaluation items by using the plurality of groups of characteristic information and the plurality of evaluation items.
Optionally, when the screening module 53 is configured to determine, by using the plurality of sets of feature information and the plurality of evaluation items, a first target path matched with the plurality of evaluation items, specifically:
traversing a plurality of groups of feature information to obtain associated feature information associated with any one of a plurality of evaluation items in each group of feature information;
determining a target characteristic information group with the largest number of associated characteristic information in the plurality of groups of characteristic information;
and determining a first target path based on the target alternative paths corresponding to the target characteristic information group.
Optionally, the plurality of assessment items comprises at least two of: favorite display modes, concerned field information and adept information.
Optionally, the apparatus is further configured to:
acquiring a behavior information set corresponding to a user at a first moment;
and analyzing the behavior information set to obtain first evaluation information.
Optionally, the apparatus is further configured to:
acquiring behavior information of a user aiming at the first target information;
behavior information is added to the set of behavior information.
Optionally, the apparatus is further configured to:
detecting the distance at the second moment to determine whether the duration of the first target path reaches the preset duration, if so, determining that the duration of the first target path reaches the preset duration
Acquiring second evaluation information corresponding to the user at a second moment;
searching a second target path matched with second evaluation information in the knowledge graph by taking a second initial node in the knowledge graph as a root node;
and determining second target information to be displayed based on the second target path.
Optionally, the apparatus is further configured to:
acquiring update information aiming at the knowledge graph;
the knowledge-graph is updated based on the update information.
It is to be understood that apparatus embodiments and method embodiments may correspond to one another and that similar descriptions may refer to method embodiments. To avoid repetition, further description is omitted here. Specifically, the apparatus may perform the method embodiment, and the foregoing and other operations and/or functions of each module in the apparatus are respectively corresponding flows in each method in the method embodiment, and for brevity, are not described again here.
The apparatus of the embodiments of the present application is described above in connection with the drawings from the perspective of functional modules. It should be understood that the functional modules may be implemented by hardware, by instructions in software, or by a combination of hardware and software modules. Specifically, the steps of the method embodiments in the present application may be implemented by integrated logic circuits of hardware in a processor and/or instructions in the form of software, and the steps of the method disclosed in conjunction with the embodiments in the present application may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. Alternatively, the software modules may be located in random access memory, flash memory, read only memory, programmable read only memory, electrically erasable programmable memory, registers, and the like, as is well known in the art. The storage medium is located in a memory, and a processor reads information in the memory and completes the steps in the above method embodiments in combination with hardware thereof.
Fig. 6 is a schematic block diagram of an electronic device provided in an embodiment of the present application, where the electronic device may include:
a memory 601 and a processor 602, the memory 601 being adapted to store computer programs and to transfer the program codes to the processor 602. In other words, the processor 602 may call and run a computer program from the memory 601 to implement the method in the embodiment of the present application.
For example, the processor 602 may be configured to perform the above-described method embodiments according to instructions in the computer program.
In some embodiments of the present application, the processor 602 may include, but is not limited to:
general purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components, and the like.
In some embodiments of the present application, the memory 601 includes, but is not limited to:
volatile memory and/or non-volatile memory. The non-volatile Memory may be a Read-Only Memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an Electrically Erasable PROM (EEPROM), or a flash Memory. Volatile Memory can be Random Access Memory (RAM), which acts as external cache Memory. By way of example, but not limitation, many forms of RAM are available, such as Static random access memory (Static RAM, SRAM), Dynamic Random Access Memory (DRAM), Synchronous Dynamic random access memory (Synchronous DRAM, SDRAM), Double Data Rate Synchronous Dynamic random access memory (DDR SDRAM), Enhanced Synchronous SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), and Direct Rambus RAM (DR RAM).
In some embodiments of the present application, the computer program may be partitioned into one or more modules, which are stored in the memory 601 and executed by the processor 602 to perform the methods provided herein. The one or more modules may be a series of computer program instruction segments capable of performing certain functions, the instruction segments describing the execution of the computer program in the electronic device.
As shown in fig. 6, the electronic device may further include:
a transceiver 603, the transceiver 603 being connectable to the processor 602 or the memory 601.
The processor 602 may control the transceiver 603 to communicate with other devices, and specifically, may transmit information or data to the other devices or receive information or data transmitted by the other devices. The transceiver 603 may include a transmitter and a receiver. The transceiver 603 may further include antennas, and the number of antennas may be one or more.
It should be understood that the various components in the electronic device are connected by a bus system that includes a power bus, a control bus, and a status signal bus in addition to a data bus.
The present application also provides a computer storage medium having stored thereon a computer program which, when executed by a computer, enables the computer to perform the method of the above-described method embodiments. In other words, the present application also provides a computer program product containing instructions, which when executed by a computer, cause the computer to execute the method of the above method embodiments.
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. The procedures or functions described in accordance with the embodiments of the present application occur, in whole or in part, when the computer program instructions are loaded and executed on a computer. 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 on a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website, computer, server, or data center to another website, computer, server, or data center via wire (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 includes one or more of the available media. The usable medium may be a magnetic medium (e.g., a floppy disk, a hard disk, a magnetic tape), an optical medium (e.g., a Digital Video Disk (DVD)), or a semiconductor medium (e.g., a Solid State Disk (SSD)), among others.
According to one or more embodiments of the present application, there is provided a presentation information determining method including:
acquiring first evaluation information corresponding to a user;
determining a plurality of alternative paths in the knowledge graph by taking a first initial node in the knowledge graph corresponding to the first evaluation information as a root node;
screening a first target path matched with the first evaluation information from the multiple alternative paths according to the first evaluation information;
first target information to be displayed is determined based on the first target path.
According to one or more embodiments of the present application, the first evaluation information includes a plurality of evaluation items, and the screening, from the plurality of candidate paths, a first target path matching the first evaluation information according to the first evaluation information includes:
determining multiple groups of characteristic information corresponding to multiple alternative paths;
and determining a first target path matched with the plurality of evaluation items by using the plurality of groups of characteristic information and the plurality of evaluation items.
According to one or more embodiments of the present application, determining a first target path matching a plurality of evaluation items by using a plurality of sets of feature information and the plurality of evaluation items includes:
traversing a plurality of groups of feature information to obtain associated feature information associated with any one of a plurality of evaluation items in each group of feature information;
determining a target characteristic information group with the largest number of associated characteristic information in the plurality of groups of characteristic information;
and determining a first target path based on the target alternative paths corresponding to the target characteristic information group.
According to one or more embodiments of the present application, the plurality of evaluation items includes at least two of: favorite display modes, concerned field information and adept information.
According to one or more embodiments of the present application, the method further comprises:
acquiring a behavior information set corresponding to a user at a first moment;
and analyzing the behavior information set to obtain first evaluation information.
According to one or more embodiments of the present application, the method further comprises:
acquiring behavior information of a user aiming at the first target information;
behavior information is added to the set of behavior information.
According to one or more embodiments of the present application, the method further comprises:
detecting the distance at the second moment to determine whether the duration of the first target path reaches the preset duration, if so, determining that the duration of the first target path reaches the preset duration
Acquiring second evaluation information corresponding to the user at a second moment;
searching a second target path matched with second evaluation information in the knowledge graph by taking a second initial node in the knowledge graph as a root node;
and determining second target information to be displayed based on the second target path.
According to one or more embodiments of the present application, the method further comprises:
acquiring update information aiming at the knowledge graph;
the knowledge-graph is updated based on the update information.
According to one or more embodiments of the present application, there is provided a data processing method including: when a starting instruction of a user is detected, sending an information acquisition request to server equipment, so that the server equipment receives the information acquisition request and acquires first evaluation information corresponding to the user; determining a plurality of alternative paths in the knowledge graph by taking a first initial node in the knowledge graph corresponding to the first evaluation information as a root node; screening a first target path matched with the first evaluation information from the multiple alternative paths according to the first evaluation information; determining first target information to be displayed based on the first target path;
receiving the first target information fed back by the server-side equipment;
and displaying the first target information.
According to one or more embodiments of the present application, there is provided a presentation information determining apparatus including:
the acquisition module is used for acquiring first evaluation information corresponding to a user;
the first determination module is used for determining a plurality of alternative paths in the knowledge graph by taking a first initial node in the knowledge graph corresponding to the first evaluation information as a root node;
the screening module is used for screening a first target path matched with the first evaluation information from the multiple alternative paths according to the first evaluation information;
and the second determining module is used for determining the first target information to be displayed based on the first target path.
According to one or more embodiments of the present application, the first evaluation information includes a plurality of evaluation items, and when the screening module is configured to screen out a first target path matching the first evaluation information from the plurality of candidate paths according to the first evaluation information, the screening module is specifically configured to:
determining multiple groups of characteristic information corresponding to multiple alternative paths;
and determining a first target path matched with the plurality of evaluation items by using the plurality of groups of characteristic information and the plurality of evaluation items.
According to one or more embodiments of the present application, when the screening module is configured to determine, by using the plurality of sets of feature information and the plurality of evaluation items, a first target path matching the plurality of evaluation items, the screening module is specifically configured to:
traversing a plurality of groups of feature information to obtain associated feature information associated with any one of a plurality of evaluation items in each group of feature information;
determining a target characteristic information group with the largest number of associated characteristic information in the plurality of groups of characteristic information;
and determining a first target path based on the target alternative paths corresponding to the target characteristic information group.
Optionally, the plurality of assessment items comprises at least two of: favorite display modes, concerned field information and adept information.
According to one or more embodiments of the present application, the apparatus is further configured to:
acquiring a behavior information set corresponding to a user at a first moment;
and analyzing the behavior information set to obtain first evaluation information.
According to one or more embodiments of the present application, the apparatus is further configured to:
acquiring behavior information of a user aiming at the first target information;
behavior information is added to the set of behavior information.
According to one or more embodiments of the present application, the apparatus is further configured to:
detecting the distance at the second moment to determine whether the duration of the first target path reaches the preset duration, if so, determining that the duration of the first target path reaches the preset duration
Acquiring second evaluation information corresponding to the user at a second moment;
searching a second target path matched with second evaluation information in the knowledge graph by taking a second initial node in the knowledge graph as a root node;
and determining second target information to be displayed based on the second target path.
According to one or more embodiments of the present application, the apparatus is further configured to:
acquiring update information aiming at the knowledge graph;
the knowledge-graph is updated based on the update information.
According to one or more embodiments of the present application, there is provided an electronic device including:
a processor; and
a memory for storing executable instructions of the processor;
wherein the processor is configured to perform the above-described method via execution of the executable instructions.
According to one or more embodiments of the application, a computer-readable storage medium is provided, on which a computer program is stored, characterized in that the computer program realizes the method as described above when being executed by a processor.
Those of ordinary skill in the art will appreciate that the various illustrative modules and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the module is merely a logical division, and other divisions may be realized in practice, for example, a plurality of modules or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or modules, and may be in an electrical, mechanical or other form.
Modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical modules, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. For example, functional modules in the embodiments of the present application may be integrated into one processing module, or each of the modules may exist alone physically, or two or more modules are integrated into one module.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims (12)

1. A method for determining display information, comprising:
acquiring first evaluation information corresponding to a user;
determining a plurality of alternative paths in the knowledge graph by taking a first initial node in the knowledge graph corresponding to the first evaluation information as a root node;
screening a first target path matched with the first evaluation information from the multiple alternative paths according to the first evaluation information;
and determining first target information to be displayed based on the first target path.
2. The method of claim 1, wherein the first evaluation information comprises a plurality of evaluation items, and wherein the step of screening out a first target path matching the first evaluation information from the plurality of candidate paths according to the first evaluation information comprises:
determining a plurality of groups of characteristic information corresponding to the plurality of alternative paths;
and determining the first target path matched with the plurality of evaluation items by using the plurality of groups of characteristic information and the plurality of evaluation items.
3. The method of claim 2, wherein determining the first target path matching the plurality of evaluation terms using the plurality of sets of feature information and the plurality of evaluation terms comprises:
traversing the multiple groups of feature information to obtain associated feature information associated with any one of the multiple evaluation items in each group of feature information;
determining a target characteristic information group with the largest number of associated characteristic information in the plurality of groups of characteristic information;
and determining the first target path based on the target alternative path corresponding to the target characteristic information group.
4. The method of claim 2, wherein the plurality of assessment terms comprises at least two of: favorite display modes, concerned field information and adept information.
5. The method of claim 1, further comprising:
acquiring a behavior information set corresponding to a user at a first moment;
and analyzing the behavior information set to obtain the first evaluation information.
6. The method of claim 5, further comprising:
acquiring behavior information of a user aiming at the first target information;
adding the behavior information to the set of behavior information.
7. The method of claim 5, further comprising:
detecting the distance at the second moment to determine whether the duration of the first target path reaches the preset duration, if so, determining that the duration of the first target path reaches the preset duration
Acquiring second evaluation information corresponding to the user at a second moment;
searching a second target path matched with the second evaluation information in the knowledge graph by taking a second initial node in the knowledge graph as a root node;
and determining second target information to be displayed based on the second target path.
8. The method of claim 1, further comprising:
obtaining update information for the knowledge-graph;
updating the knowledge-graph based on the update information.
9. A data processing method, comprising:
when a starting instruction of a user is detected, sending an information acquisition request to server equipment, so that the server equipment receives the information acquisition request and acquires first evaluation information corresponding to the user; determining a plurality of alternative paths in the knowledge graph by taking a first initial node in the knowledge graph corresponding to the first evaluation information as a root node; screening a first target path matched with the first evaluation information from the multiple alternative paths according to the first evaluation information; determining first target information to be displayed based on the first target path;
receiving the first target information fed back by the server-side equipment;
and displaying the first target information.
10. A presentation information determining apparatus, comprising:
the acquisition module is used for acquiring first evaluation information corresponding to a user;
a first determining module, configured to determine, by using a first initial node in a knowledge graph corresponding to the first evaluation information as a root node, a plurality of candidate paths in the knowledge graph;
the screening module is used for screening a first target path matched with the first evaluation information from the multiple candidate paths according to the first evaluation information;
and the second determining module is used for determining the first target information to be displayed based on the first target path.
11. An electronic device, comprising:
a processor; and
a memory for storing executable instructions of the processor;
wherein the processor is configured to perform the method of any one of claims 1-8 or claim 9 via execution of the executable instructions.
12. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the method of any one of claims 1-8 or 9.
CN202110997821.7A 2021-08-27 2021-08-27 Display information determining method, device, equipment and computer readable storage medium Pending CN113704493A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2023024976A1 (en) * 2021-08-27 2023-03-02 北京有竹居网络技术有限公司 Display information determination method and apparatus, device, and computer-readable storage medium

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20160189028A1 (en) * 2014-12-31 2016-06-30 Verizon Patent And Licensing Inc. Systems and Methods of Using a Knowledge Graph to Provide a Media Content Recommendation
CN110263179A (en) * 2019-06-12 2019-09-20 湖南酷得网络科技有限公司 Learning path method for pushing, device, computer equipment and storage medium
CN111177413A (en) * 2019-12-30 2020-05-19 北京谦仁科技有限公司 Learning resource recommendation method and device and electronic equipment
US20200167426A1 (en) * 2018-11-27 2020-05-28 International Business Machines Corporation Partitioning knowledge graph
CN111291265A (en) * 2020-02-10 2020-06-16 青岛聚看云科技有限公司 Recommendation information generation method and device
CN111639266A (en) * 2020-04-16 2020-09-08 北京三快在线科技有限公司 Recommendation information generation method and device, electronic equipment and readable storage medium
CN111966916A (en) * 2020-06-20 2020-11-20 中国建设银行股份有限公司 Recommendation method and device, electronic equipment and computer readable storage medium

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113220902A (en) * 2021-05-17 2021-08-06 中国互联网络信息中心 Knowledge graph information processing method and device, electronic equipment and storage medium
CN113704493A (en) * 2021-08-27 2021-11-26 北京有竹居网络技术有限公司 Display information determining method, device, equipment and computer readable storage medium

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20160189028A1 (en) * 2014-12-31 2016-06-30 Verizon Patent And Licensing Inc. Systems and Methods of Using a Knowledge Graph to Provide a Media Content Recommendation
US20200167426A1 (en) * 2018-11-27 2020-05-28 International Business Machines Corporation Partitioning knowledge graph
CN110263179A (en) * 2019-06-12 2019-09-20 湖南酷得网络科技有限公司 Learning path method for pushing, device, computer equipment and storage medium
CN111177413A (en) * 2019-12-30 2020-05-19 北京谦仁科技有限公司 Learning resource recommendation method and device and electronic equipment
CN111291265A (en) * 2020-02-10 2020-06-16 青岛聚看云科技有限公司 Recommendation information generation method and device
CN111639266A (en) * 2020-04-16 2020-09-08 北京三快在线科技有限公司 Recommendation information generation method and device, electronic equipment and readable storage medium
CN111966916A (en) * 2020-06-20 2020-11-20 中国建设银行股份有限公司 Recommendation method and device, electronic equipment and computer readable storage medium

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2023024976A1 (en) * 2021-08-27 2023-03-02 北京有竹居网络技术有限公司 Display information determination method and apparatus, device, and computer-readable storage medium

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