CN112035676B - 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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- CN112035676B CN112035676B CN202010908585.2A CN202010908585A CN112035676B CN 112035676 B CN112035676 B CN 112035676B CN 202010908585 A CN202010908585 A CN 202010908585A CN 112035676 B CN112035676 B CN 112035676B
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- 238000010276 construction Methods 0.000 title claims description 17
- 230000006399 behavior Effects 0.000 claims abstract description 55
- 238000000034 method Methods 0.000 claims abstract description 24
- 230000006870 function Effects 0.000 claims description 46
- 238000004590 computer program Methods 0.000 claims description 17
- 230000009471 action Effects 0.000 claims description 5
- 238000010586 diagram Methods 0.000 description 14
- 230000008569 process Effects 0.000 description 8
- 238000004891 communication Methods 0.000 description 7
- 230000005540 biological transmission Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/36—Creation of semantic tools, e.g. ontology or thesauri
- G06F16/367—Ontology
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
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 an entity and entity attributes in an APP application scene, wherein the entity comprises a user entity and an APP functional entity; determining entity relation based on the operation behavior of the user in the APP application scene, and updating the entity attribute value; 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 user operation behavior knowledge graph.
Background
The mobile phone bank records the operation process of the user in the APP, records each step of operation into each functional system in the APP, what the user operates, what is recorded, what is generated and a certain circulation record is formed, and the internal system completes the basic functional requirement of the user through internal calling. The method takes the function of the mobile phone bank APP as a unit, defines the operation process of the user, takes the completion of the user function as the center, cannot well mine the operation behavior of the user, cannot improve the operation process of the user, and improves the experience of the mobile phone bank use of the user.
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 an entity and entity attributes in an APP application scene, wherein the entity comprises a user entity and an APP functional entity;
determining entity relation based on the operation behavior of the user in the APP application scene, and updating the entity attribute value;
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 entity determining module is used for determining an entity and entity attributes in an APP application scene, wherein the entity comprises a user entity and an APP functional entity;
the entity relation determining module is used for determining entity relation and updating entity attribute values based on the operation behaviors 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 relationship.
The embodiment of the invention also provides computer equipment, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor realizes the method for constructing the user operation behavior knowledge graph 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, the entity and the entity attribute under the APP application scene are determined, wherein the entity comprises a user entity and an APP functional entity; determining entity relation based on the operation behavior of the user in the APP application scene, and updating the entity attribute value; 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 behaviors 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 invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art. In the drawings:
FIG. 1 is a flowchart of a user operation behavior knowledge graph construction method in an embodiment of the present invention;
fig. 2 is a schematic diagram of a mobile banking APP function in an embodiment of the present invention;
FIG. 3 is a schematic diagram of a mobile banking APP balance financing function entity in an embodiment of the invention;
FIG. 4 is a schematic diagram of a knowledge graph construction device for user operation behavior according to an embodiment of the present invention;
fig. 5 is a schematic diagram of a computer device according to an embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the embodiments of the present invention will be described in further detail with reference to the accompanying drawings. The exemplary embodiments of the present invention and their descriptions herein are for the purpose of explaining the present invention, but are not to be construed as limiting the invention.
In the description of the present specification, the terms "comprising," "including," "having," "containing," and the like are open-ended terms, meaning including, but not limited to. Reference to 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 present application. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. 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 used to schematically illustrate the practice of the present application, and is not limited thereto and may be appropriately adjusted as desired.
Fig. 1 is a flowchart of a user operation behavior knowledge graph construction method in an embodiment of the present invention, as shown in fig. 1, where the method includes:
step 101, determining an entity and entity attributes in an APP application scene, wherein the entity comprises a user entity and an APP functional entity;
step 102, determining entity relation based on the operation behavior of a user in an APP application scene, and updating an entity attribute value;
and step 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 behaviors 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 various kinds of APP such as mobile banking APP, and of course, may also include APP applied to other mobile phones or other terminals, where related variation examples should all fall within the protection scope of the present invention. Taking mobile phone banking APP as an example, APP functional entities include functions of searching, customer service, code scanning payment, receipt and payment, balance financing, deposit management, fund and the like, and fig. 2 is a schematic diagram of mobile phone banking APP function in an embodiment of the present invention.
In step 101, a part of entity attribute values are also 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 electronic bank client number, a nationality, a ethnicity, a birth date, a mobile phone number and an operation duration; the entity attribute of the APP functional entity comprises at least one of a function name, a function usage amount, a function association degree and a stay time length.
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, based on the operation behavior of the user in the APP application scenario, determining an entity relationship, and updating an entity attribute value, wherein based on the operation behavior of the user in the APP application scenario, that is, based on the user operation as a main line, an entity relationship between the user entity and the functional entity, and between the functional entity and the functional entity is constructed, and a relationship map is determined, so that an operation process of the user for operating the mobile phone bank each time is recorded.
In an embodiment, the entity relationship comprises a unique identification of the user in the APP application scenario. The unique identification can ensure that the 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 is convenient for subsequent knowledge map construction.
Taking a user logging in a mobile phone bank APP as an example, the process of determining entity relationship and updating entity attribute values is as follows:
the user logs in the mobile phone bank APP home page: and (3) assigning the unique identifier of the user entity A as Seq (A) (the variable is globally unique), and establishing an entity relationship < user entity A, login, home page function entity and Seq (A) >.
The user clicks the balance financial function entity: and updating the function association degree +1 of the home page functional entity, updating the stay time t of the user staying in the home page functional entity, and updating the function use amount +1 of the home page functional entity, wherein the stay time can also adopt < t and Seq (A) > marks. Fig. 3 is a schematic diagram of a mobile phone bank APP balance financial function entity in an embodiment of the present invention, and an entity relationship < home page function entity, skip, balance financial function entity, seq (a) > isestablished.
The user clicks the payroll financing function: the function association degree +1 of the balance financial function entity is updated, the stay time t1 of the user staying in the balance financial function entity is updated, the function usage amount +1 of the balance financial function entity is updated, and the stay time can be marked by < t1 and Seq (A >). An entity relation < balance financing function entity, skip, payroll financing function entity, seq (A) > isestablished.
The user clicks to exit the mobile phone bank APP: updating the function association degree +1 of the wage financing functional entity, updating the stay time t2 of the user staying in the wage financing functional entity, updating the function usage amount +1 of the wage financing functional entity, and marking the stay time by adopting < t2 and Seq (A) >. An entity relationship < payroll function entity, jump, exit function entity, seq (A) > isestablished. And updating the function association degree +1 of the exiting functional entity, updating the stay time t2 of the user staying in the exiting functional entity, and updating the function usage amount +1 of the exiting functional entity.
The operation duration of the user entity A is updated and recorded 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 flow 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 by the embodiment of the present invention, the entity and the entity attribute in the APP application scenario are determined, where the entity includes a user entity and an APP functional entity; determining entity relation based on the operation behavior of the user in the APP application scene, and updating the entity attribute value; 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 behaviors 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 user operation behavior knowledge graph, the principle of which is similar to that of the method for constructing the user operation behavior knowledge graph, and the description is omitted here.
Fig. 4 is a schematic diagram of a user operation behavior knowledge graph construction device according to an embodiment of the present invention, as shown in fig. 4, the device includes:
the entity determining module 401 is 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;
the entity relation determining module 402 is configured to determine an entity relation based on an operation behavior of a user in an APP application scenario, and update an entity attribute value;
the knowledge graph construction module 403 is configured to construct a knowledge graph of user operation behavior based on the entity, the entity attribute, and the entity relationship.
In an embodiment, the entity attribute of the user entity includes at least one of a user name, a gender, an age, an asset, an electronic bank client number, a nationality, a ethnicity, a birth date, a mobile phone number, and an operation duration; the entity attribute of the APP functional entity comprises at least one of a function name, a function usage amount, a function association degree and a stay time length.
In an embodiment, the entity relationship comprises a unique identification 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 device provided by the embodiment of the present invention, the entity and the entity attribute in the APP application scenario are determined, where the entity includes a user entity and an APP functional entity; determining entity relation based on the operation behavior of the user in the APP application scene, and updating the entity attribute value; 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 behaviors 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 present application further provides a computer device, and fig. 5 is a schematic diagram of the computer device in the embodiment of the present invention, where the computer device can implement all the steps in the method for constructing a knowledge graph of user operation behavior 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;
wherein the processor 501, the memory 502, and the communication interface 503 perform communication with each other through the communication bus 504; the communication interface 503 is configured to implement information transmission between related devices such as a server device, a detection device, and a user device;
the processor 501 is configured to invoke a computer program in the memory 502, where the processor executes the computer program to implement all the steps in the user operation behavior knowledge graph construction method in the foregoing embodiment.
The embodiment of the present application further provides a computer readable storage medium, which can implement all the steps in the user operation behavior knowledge graph construction method in the above embodiment, and the computer readable storage medium stores a computer program, where the computer program is executed by a processor to implement all the steps in the user operation behavior knowledge graph construction method in the above embodiment.
It will be appreciated by those skilled in the art that 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 flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations 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 foregoing description of the embodiments has been provided for the purpose of illustrating the general principles of the invention, and is not meant to limit the scope of the invention, but to limit the invention to the particular embodiments, and any modifications, equivalents, improvements, etc. that fall within the spirit and principles of the invention are intended to be included within the scope of the invention.
Claims (6)
1. The method for constructing the knowledge graph of the user operation behavior is characterized by comprising the following steps of:
determining an entity and entity attributes in an APP application scene, wherein the entity comprises a user entity and an APP functional entity;
determining entity relation based on the operation behavior of the user in the APP application scene, and updating the entity attribute value;
constructing a user operation behavior knowledge graph based on the entity, the entity attribute and the entity relationship;
the entity relationship comprises a unique identifier of a user in an APP application scene;
the entity relationship is expressed as follows: < entity, action, entity, unique identifier >.
2. The method for constructing a knowledge graph of user operation behavior according to claim 1, wherein the entity attributes of the user entity include at least one of a user name, a gender, an age, an asset, an electronic bank client number, a nationality, a ethnicity, a birth date, a mobile phone number, and an operation duration; the entity attribute of the APP functional entity comprises at least one of a function name, a function usage amount, a function association degree and a stay time length.
3. The utility model provides a user operation action knowledge graph construction device which characterized in that includes:
the entity determining module is used for determining an entity and entity attributes in an APP application scene, wherein the entity comprises a user entity and an APP functional entity;
the entity relation determining module is used for determining entity relation and updating entity attribute values based on the operation behaviors of the user in the APP application scene;
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 relationship;
the entity relationship comprises a unique identifier of a user in an APP application scene;
the entity relationship is expressed as follows: < entity, action, entity, unique identifier >.
4. The user operation behavior knowledge graph construction device according to claim 3, wherein the entity attributes of the user entity include at least one of a user name, a gender, an age, an asset, an electronic bank client number, a nationality, a ethnicity, a birth date, a mobile phone number, and an operation duration; the entity attribute of the APP functional entity comprises at least one of a function name, a function usage amount, a function association degree and a stay time length.
5. 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 2 when executing the computer program.
6. 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 2.
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| CN112799928B (en) * | 2021-01-29 | 2023-08-18 | 索为技术股份有限公司 | Knowledge graph-based industrial APP association analysis method, device and medium |
| CN112883202A (en) * | 2021-03-26 | 2021-06-01 | 江苏省未来网络创新研究院 | Knowledge graph-based multi-component modeling method and system |
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| CN110019694A (en) * | 2017-07-26 | 2019-07-16 | 凡普互金有限公司 | Method, apparatus and computer readable storage medium for knowledge mapping |
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