CN112035676A - User operation behavior knowledge graph construction method and device - Google Patents
User operation behavior knowledge graph construction method and device Download PDFInfo
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- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
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Abstract
The invention provides a method and a device for constructing a knowledge graph of user operation behaviors, wherein the method comprises the following steps: determining entities and entity attributes in an APP application scene, wherein the entities comprise user entities and APP functional entities; determining entity relationships and updating entity attribute values based on operation behaviors of users in APP application scenes; and constructing a user operation behavior knowledge graph based on the entity, the entity attribute and the entity relationship. The invention can accurately construct the knowledge graph of the user operation behavior.
Description
Technical Field
The invention relates to the technical field of big data, in particular to a method and a device for constructing a knowledge graph of user operation behaviors.
Background
The mobile banking records the operation process of the user in the APP, records each operation step into each functional system in the APP, records what the user operates and generates, forms a certain circulation record, and completes the basic function requirement of the user through internal calling. This kind of mode uses cell-phone bank APP's function as the unit, defines user's operation to accomplish user's function and be the center, this kind of mode, can't dig user's operation behavior well, to user's operation, also can't improve, promote the experience that user's cell-phone bank used.
Disclosure of Invention
The embodiment of the invention provides a method for constructing a knowledge graph of user operation behaviors, which is used for accurately constructing the knowledge graph of the user operation behaviors and comprises the following steps:
determining entities and entity attributes in an APP application scene, wherein the entities comprise user entities and APP functional entities;
determining entity relationships and updating entity attribute values based on operation behaviors of users in APP application scenes;
and constructing a user operation behavior knowledge graph based on the entity, the entity attribute and the entity relationship.
The embodiment of the invention provides a user operation behavior knowledge graph construction device, which is used for accurately judging whether an enterprise is a high-quality loan enterprise or not and has high accuracy, and the device comprises:
the system comprises an entity determining module, a data processing module and a data processing module, wherein the entity determining module is used for determining an entity and an entity attribute in an APP application scene, and the entity comprises a user entity and an APP functional entity;
the entity relationship determining module is used for determining the entity relationship and updating the entity attribute value based on the operation behavior of the user in the APP application scene;
and the knowledge graph construction module is used for constructing a user operation behavior knowledge graph based on the entity, the entity attribute and the entity relation.
The embodiment of the invention also provides computer equipment, which comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor realizes the user operation behavior knowledge graph construction method when executing the computer program.
The embodiment of the invention also provides a computer readable storage medium, which stores a computer program for executing the user operation behavior knowledge graph construction method.
In the embodiment of the invention, an entity and an entity attribute in an APP application scene are determined, wherein the entity comprises a user entity and an APP functional entity; determining entity relationships and updating entity attribute values based on operation behaviors of users in APP application scenes; and constructing a user operation behavior knowledge graph based on the entity, the entity attribute and the entity relationship. In the embodiment, the user entity and the APP functional entity are determined, and the entity relationship is determined based on the operation behavior of the user in the APP application scene, so that the user operation behavior knowledge graph of the user in the APP application scene can be accurately constructed.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts. In the drawings:
FIG. 1 is a flow chart of a method for constructing a knowledge graph of user operation behaviors in an embodiment of the present invention;
FIG. 2 is a diagram illustrating functions of a mobile banking APP in an embodiment of the present invention;
FIG. 3 is a schematic diagram of an APP balance financing function entity of a mobile banking machine in the embodiment of the present invention;
FIG. 4 is a schematic diagram of a user operation behavior knowledge graph building apparatus according to an embodiment of the present invention;
FIG. 5 is a diagram of a computer device in an embodiment of the invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the embodiments of the present invention are further described in detail below with reference to the accompanying drawings. The exemplary embodiments and descriptions of the present invention are provided to explain the present invention, but not to limit the present invention.
In the description of the present specification, the terms "comprising," "including," "having," "containing," and the like are used in an open-ended fashion, i.e., to mean including, but not limited to. Reference to the description of the terms "one embodiment," "a particular embodiment," "some embodiments," "for example," etc., means that a particular feature, structure, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. The sequence of steps involved in the embodiments is for illustrative purposes to illustrate the implementation of the present application, and the sequence of steps is not limited and can be adjusted as needed.
Fig. 1 is a flowchart of a method for constructing a knowledge graph of user operation behaviors in an embodiment of the present invention, and as shown in fig. 1, the method includes:
102, determining an entity relationship based on an operation behavior of a user in an APP application scene, and updating an entity attribute value;
and 103, constructing a user operation behavior knowledge graph based on the entity, the entity attribute and the entity relationship.
In the embodiment of the invention, the user entity and the APP functional entity are determined, and the entity relationship is determined based on the operation behavior of the user in the APP application scene, so that the user operation behavior knowledge graph of the user in the APP application scene can be accurately constructed.
In specific implementation, the APP application scenario includes multiple applications, such as an APP of a mobile phone bank, and certainly, the APP application scenario may also include APPs applied to other various mobile phones or other terminals, and all the relevant variation examples should fall within the protection scope of the present invention. Taking a mobile phone bank APP as an example, the APP functional entities include functions of searching, customer service, code scanning payment, payment collection, balance financing, deposit management, fund and the like, and fig. 2 is a schematic diagram of the functions of the mobile phone bank APP in the embodiment of the invention.
In step 101, a partial entity attribute value is further determined, and in one embodiment, the entity attribute of the user entity includes at least one of a user name, a gender, an age, an asset, an e-bank client number, a nationality, a ethnicity, a birth date, a mobile phone number, and an operation duration; the entity attribute of the APP function entity comprises at least one of a function name, a function usage amount, a function association degree and a stay time.
In the above embodiment, the entity attribute of the user entity may be determined in step 101, and the function name in the function entity attribute may be determined in step 101.
In step 102, an entity relationship is determined based on an operation behavior of the user in the APP application scene, and an entity attribute value is updated, where an entity relationship between the user entity and the functional entity, and an entity relationship between the functional entity and the functional entity, are constructed based on the operation behavior of the user in the APP application scene, that is, the user operation is taken as a main line, a relationship map is determined, and then an operation process of the user operating the mobile phone bank each time is recorded.
In an embodiment, the entity relationship includes a unique identifier of the user in the APP application scenario. The unique identification can ensure that data of each user in each APP application scene can be conveniently searched.
In one embodiment, the entity relationship is represented as follows:
< entity, action, entity, unique identifier >.
The identification can form a relation map which is easy to record and search, and the knowledge map is convenient to construct subsequently.
Taking the example that the user logs in the mobile phone bank APP, the process of determining the entity relationship and updating the entity attribute value is as follows:
the user logs in the APP home page of the mobile phone bank: the unique identifier of the user entity A is allocated as seq (A) (the variable is globally unique), and if the user A logs in the home page function, an entity relationship < user entity A, login, home page function entity, seq (A) >.
The user clicks the balance financing function entity: updating the functional association degree of the home page functional entity to be +1, updating the staying time t of the user in the home page functional entity, updating the functional usage amount of the home page functional entity to be +1, wherein the staying time can also adopt a mark of < t, seq (A) >. Fig. 3 is a schematic diagram of an APP balance financing function entity of a mobile banking machine in the embodiment of the present invention, and an entity relationship < home page function entity, skip, balance financing function entity, seq (a) >.
The user clicks the wage function entity: updating the functional association degree of the balance financing functional entity to be +1, updating the staying time t1 of the user staying at the balance financing functional entity, updating the functional usage amount of the balance financing functional entity to be +1, wherein the staying time can be marked by < t1, seq (A) > or more. Establishing an entity relationship of < balance financing function entity, skip, wage financing function entity, seq (A) >.
The user clicks to quit the mobile banking APP: updating the functional association degree of the payroll financial function entity to be +1, updating the staying time t2 of the user staying at the payroll financial function entity, updating the functional usage amount of the payroll financial function entity to be +1, wherein the staying time can be marked by < t2, seq (A) > and the like. Establishing an entity relationship of < payroll financial function entity, skipping, quitting function entity, seq (A) >. Updating the functional association degree +1 of the quit functional entity, updating the staying time t2 of the user staying at the quit functional entity, and updating the functional usage amount +1 of the quit functional entity.
And updating the operation duration of the user entity A, and recording the operation duration as < tN, seq (A) >.
And finally, constructing a user operation behavior knowledge graph based on the entity, the entity attribute and the entity relationship, wherein the whole process of the user operation behavior knowledge graph records the operation process of the user logging in the mobile phone bank APP, and can clearly describe each process of operating related functions after the user logs in the mobile phone bank APP.
In summary, in the method provided in the embodiment of the present invention, entities and entity attributes in an APP application scenario are determined, where the entities include a user entity and an APP functional entity; determining entity relationships and updating entity attribute values based on operation behaviors of users in APP application scenes; and constructing a user operation behavior knowledge graph based on the entity, the entity attribute and the entity relationship. In the embodiment, the user entity and the APP functional entity are determined, and the entity relationship is determined based on the operation behavior of the user in the APP application scene, so that the user operation behavior knowledge graph of the user in the APP application scene can be accurately constructed.
The embodiment of the invention also provides a device for constructing the knowledge graph of the user operation behaviors, the principle of the device is similar to that of a method for constructing the knowledge graph of the user operation behaviors, and the device is not repeated.
Fig. 4 is a schematic diagram of a user operation behavior knowledge graph building apparatus in an embodiment of the present invention, and as shown in fig. 4, the apparatus includes:
an entity determining module 401, configured to determine an entity and an entity attribute in an APP application scenario, where the entity includes a user entity and an APP functional entity;
an entity relationship determining module 402, configured to determine an entity relationship and update an entity attribute value based on an operation behavior of a user in an APP application scenario;
a knowledge graph constructing module 403, configured to construct a user operation behavior knowledge graph based on the entities, the entity attributes, and the entity relationships.
In one embodiment, the entity attribute of the user entity comprises at least one of user name, gender, age, asset, electronic bank customer number, nationality, ethnicity, date of birth, cell phone number and operation duration; the entity attribute of the APP function entity comprises at least one of a function name, a function usage amount, a function association degree and a stay time.
In an embodiment, the entity relationship includes a unique identifier of the user in the APP application scenario.
In one embodiment, the entity relationship is represented as follows:
< entity, action, entity, unique identifier >.
In summary, in the apparatus provided in the embodiment of the present invention, entities and entity attributes in an APP application scenario are determined, where the entities include a user entity and an APP functional entity; determining entity relationships and updating entity attribute values based on operation behaviors of users in APP application scenes; and constructing a user operation behavior knowledge graph based on the entity, the entity attribute and the entity relationship. In the embodiment, the user entity and the APP functional entity are determined, and the entity relationship is determined based on the operation behavior of the user in the APP application scene, so that the user operation behavior knowledge graph of the user in the APP application scene can be accurately constructed.
An embodiment of the present application further provides a computer device, and fig. 5 is a schematic diagram of a computer device in an embodiment of the present invention, where the computer device is capable of implementing all steps in the method for constructing a knowledge graph of user operation behaviors in the foregoing embodiment, and the computer device specifically includes the following contents:
a processor (processor)501, a memory (memory)502, a communication Interface (Communications Interface)503, and a communication bus 504;
the processor 501, the memory 502 and the communication interface 503 complete mutual communication through the communication bus 504; the communication interface 503 is used for implementing information transmission between related devices such as server-side devices, detection devices, and user-side devices;
the processor 501 is configured to call the computer program in the memory 502, and when the processor executes the computer program, the processor implements all the steps in the method for constructing the knowledge graph of user operation behaviors in the above embodiments.
Embodiments of the present application further provide a computer-readable storage medium, which can implement all steps in the method for constructing a knowledge graph of user operation behaviors in the foregoing embodiments, where the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the computer program implements all steps of the method for constructing a knowledge graph of user operation behaviors in the foregoing embodiments.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are only exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (10)
1. A user operation behavior knowledge graph construction method is characterized by comprising the following steps:
determining entities and entity attributes in an APP application scene, wherein the entities comprise user entities and APP functional entities;
determining entity relationships and updating entity attribute values based on operation behaviors of users in APP application scenes;
and constructing a user operation behavior knowledge graph based on the entity, the entity attribute and the entity relationship.
2. The method of claim 1, wherein the entity attributes of the user entity comprise at least one of user name, gender, age, assets, e-banking client number, nationality, ethnicity, date of birth, cell phone number, and duration of operation; the entity attribute of the APP function entity comprises at least one of a function name, a function usage amount, a function association degree and a stay time.
3. The method of claim 1, wherein the entity relationship comprises a unique identifier of a user in an APP application scenario.
4. The user-operated behavior knowledge graph building method of claim 3, wherein the entity relationship is represented by:
< entity, action, entity, unique identifier >.
5. A user operation behavior knowledge graph building apparatus, comprising:
the system comprises an entity determining module, a data processing module and a data processing module, wherein the entity determining module is used for determining an entity and an entity attribute in an APP application scene, and the entity comprises a user entity and an APP functional entity;
the entity relationship determining module is used for determining the entity relationship and updating the entity attribute value based on the operation behavior of the user in the APP application scene;
and the knowledge graph construction module is used for constructing a user operation behavior knowledge graph based on the entity, the entity attribute and the entity relation.
6. The user operational behavior knowledge graph building apparatus of claim 5, wherein the entity attributes of the user entity comprise at least one of user name, gender, age, assets, e-banking client number, nationality, ethnicity, date of birth, cell phone number, and duration of operation; the entity attribute of the APP function entity comprises at least one of a function name, a function usage amount, a function association degree and a stay time.
7. The apparatus of claim 5, wherein the entity relationship comprises a unique identity of a user in an APP application scenario.
8. The user-operated behavior knowledge graph building apparatus of claim 7 wherein the entity relationships are represented as follows:
< entity, action, entity, unique identifier >.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the method of any of claims 1 to 4 when executing the computer program.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program for executing the method of any one of claims 1 to 4.
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