CN116341945A

CN116341945A - Object evaluation method and device, electronic equipment and computer readable storage medium

Info

Publication number: CN116341945A
Application number: CN202310067516.7A
Authority: CN
Inventors: 丁琪; 梁杰; 毛雅琛; 宋瑞
Original assignee: Industrial and Commercial Bank of China Ltd ICBC
Current assignee: Industrial and Commercial Bank of China Ltd ICBC
Priority date: 2023-01-13
Filing date: 2023-01-13
Publication date: 2023-06-27

Abstract

The present disclosure provides an object evaluation method and apparatus, an electronic device, and a computer-readable storage medium, which can be applied to the computer technical field, the artificial intelligence technical field, the big data technical field, and the financial field. The object evaluation method comprises the following steps: in response to receiving the object evaluation request, acquiring information to be evaluated according to object identifiers corresponding to at least one object in the object evaluation request, wherein the information to be evaluated comprises object information and transaction information corresponding to the at least one object identifier; generating an object evaluation network graph according to the object information and the transaction information corresponding to the at least one object identifier, wherein the object evaluation network graph comprises object nodes corresponding to the at least one object identifier and directed edges between the at least two object nodes, and the directed edges are used for representing the resource flow direction relationship between every two object nodes; and determining object evaluation results respectively corresponding to the at least one object identifier according to the object evaluation network diagram.

Description

Object evaluation method and device, electronic equipment and computer readable storage medium

Technical Field

The present disclosure relates to the fields of computer technology, artificial intelligence technology, big data technology, and finance, and more particularly, to an object evaluation method and apparatus, an electronic device, a computer-readable storage medium, and a computer program product.

Background

With the development of computer technology, massive data related to user behavior has been generated. The massive data can guide personnel to strengthen the attention of key users, so that the problem of user mining based on the massive data is urgently needed to be solved.

In the process of implementing the disclosed concept, the inventor finds that at least the following problems exist in the related art: the efficiency and accuracy of user excavation cannot be guaranteed.

Disclosure of Invention

In view of this, the present disclosure provides an object evaluation method and apparatus, an electronic device, a computer-readable storage medium, and a computer program product.

According to one aspect of the present disclosure, there is provided an object assessment method including:

in response to receiving an object evaluation request, acquiring information to be evaluated according to object identifiers corresponding to at least one object in the object evaluation request, wherein the information to be evaluated comprises object information and transaction information corresponding to the at least one object identifier;

Generating an object evaluation network graph according to the object information and the transaction information respectively corresponding to the at least one object identifier, wherein the object evaluation network graph comprises object nodes respectively corresponding to the at least one object identifier and directed edges between at least two object nodes, and the directed edges are used for representing the resource flow direction relationship between every two object nodes; and

and determining object evaluation results corresponding to the at least one object identifier respectively according to the object evaluation network diagram.

According to an embodiment of the present disclosure, the determining, according to the object evaluation network diagram, an object evaluation result corresponding to each of the at least one object identifier includes:

for each of the at least one object node,

determining a first intermediate object evaluation result corresponding to the object identifier according to the object information corresponding to the object identifier;

determining a second intermediate object evaluation result corresponding to the object identifier according to the transaction information corresponding to the object identifier; and

and determining the object evaluation result corresponding to the object identifier according to the first intermediate object evaluation result and the second intermediate object evaluation result.

According to an embodiment of the present disclosure, the determining, according to the object information corresponding to the object identifier, a first intermediate object evaluation result corresponding to the object identifier includes:

determining a first object evaluation value, a second object evaluation value and a third object evaluation value according to object information corresponding to the object identification; and

and determining the first intermediate object evaluation result according to the first object evaluation value, the second object evaluation value and the third object evaluation value.

According to an embodiment of the present disclosure, the object information corresponding to the object identifier includes a first resource value, a second resource value, and a third resource value.

According to an embodiment of the present disclosure, the first object evaluation value is determined according to a first ratio value, the first ratio value is determined according to the first resource value and a first resource accumulation value, and the first resource accumulation value is determined according to a first resource value corresponding to each of the at least one object identifier.

According to an embodiment of the present disclosure, the second object evaluation value is determined according to a second ratio determined according to the second resource value and a second resource accumulation value determined according to a second resource value corresponding to each of the at least one object identifier.

According to an embodiment of the present disclosure, the third object evaluation value is determined according to a third ratio determined according to the third resource value and a third resource accumulation value determined according to a third resource value corresponding to each of the at least one object identifier.

According to an embodiment of the present disclosure, the transaction information corresponding to the object identifier includes a fourth resource value.

According to an embodiment of the present disclosure, determining, according to the transaction information corresponding to the object identifier, a second intermediate object evaluation result corresponding to the object identifier includes:

determining at least one fourth object evaluation value according to the transaction information corresponding to the object identifier; and

and determining the second intermediate object evaluation result according to the at least one fourth object evaluation value.

According to an embodiment of the present disclosure, each of the at least one fourth object evaluation value is determined according to a fourth ratio determined according to the fourth resource value and a fourth resource accumulation value determined according to a fourth resource value corresponding to each of the at least one object identifier.

According to an embodiment of the present disclosure, the determining the object evaluation result corresponding to the object identifier according to the first intermediate object evaluation result and the second intermediate object evaluation result includes:

determining a first object evaluation result according to the first intermediate object evaluation result and a first predetermined coefficient;

determining a second object evaluation result according to the second intermediate object evaluation result and a second predetermined coefficient; and

and determining the object evaluation result according to the first object evaluation result and the second object evaluation result.

According to an embodiment of the present disclosure, the relationship between the above-described first predetermined coefficient and the above-described second predetermined coefficient satisfies a predetermined condition.

According to an embodiment of the present disclosure, in response to receiving an object evaluation request, obtaining information to be evaluated according to object identifiers corresponding to at least one object in the object evaluation request includes:

in response to receiving the object assessment request, for each of the at least one object identification,

acquiring original object information and original transaction information corresponding to the object identifier;

determining object information corresponding to the object identifier according to the original object information; and

And determining transaction information corresponding to the object identifier according to the original transaction information.

According to an embodiment of the present disclosure, determining the transaction information corresponding to the object identifier according to the original transaction information includes:

determining first auxiliary transaction information according to the original transaction information;

determining second auxiliary transaction information according to the first auxiliary transaction information; and

and determining transaction information corresponding to the object identifier according to the second auxiliary transaction information.

According to an embodiment of the present disclosure, the original transaction information includes at least one of: first field information, second field information, and third field information.

According to an embodiment of the present disclosure, determining the first auxiliary transaction information according to the original transaction information includes at least one of:

when the original transaction information comprises the first field information, screening the original transaction information according to the first field information to obtain the first auxiliary transaction information; and

and when the original transaction information comprises the second field information and the third field information, screening the original transaction information according to the second field information and the third field information to obtain the first auxiliary transaction information.

According to an embodiment of the present disclosure, the above-described original object information includes first auxiliary object information and second auxiliary object information.

According to an embodiment of the present disclosure, the determining, according to the original object information, object information corresponding to the object identifier includes:

determining third auxiliary object information according to the second auxiliary object information; and

and determining object information corresponding to the object identifier according to the first auxiliary object information and the third auxiliary object information.

According to an embodiment of the present disclosure, the above-described second auxiliary object information includes at least one of: a fifth resource value, a sixth resource value, a seventh resource value, and an eighth resource value.

According to an embodiment of the present disclosure, the determining the third auxiliary object information according to the second auxiliary object information includes:

determining a fifth resource accumulation value based on at least one of the fifth resource value, the sixth resource value, the seventh resource value, and the eighth resource value; and

and determining the third auxiliary object information according to the fifth resource accumulated value.

According to an embodiment of the present disclosure, generating the object evaluation network graph according to the object information and the transaction information corresponding to the at least one object identifier includes:

For each of the at least one object identification,

constructing object nodes and directed edges corresponding to the object identifiers according to the object information and transaction information corresponding to the object identifiers; and

and generating the object evaluation network graph according to the object node corresponding to the object identifier and the directed edge.

According to an embodiment of the present disclosure, the transaction information includes an associated object identification and a transaction resource value.

According to an embodiment of the present disclosure, the constructing the object node and the directed edge corresponding to the object identifier according to the object information and the transaction information corresponding to the object identifier includes:

constructing a target object node corresponding to the object identifier according to the object identifier and the object information corresponding to the object identifier;

constructing an associated object node corresponding to the associated object identifier according to the associated object identifier and associated object information corresponding to the associated object identifier; and

and constructing the directed edge between the target object node and the associated object node according to the transaction resource value corresponding to the object identifier.

According to an embodiment of the present disclosure, the method further includes, after determining object evaluation results corresponding to each of the at least one object identifier according to the object evaluation network graph, the method further includes:

For each of the object evaluation results corresponding to each of the at least one object identification,

determining an object corresponding to the object evaluation result as a first target object in the case that the object evaluation result is greater than or equal to a predetermined threshold; and

and determining an object corresponding to the object evaluation result as a second target object in the case that the object evaluation result is smaller than a predetermined threshold.

According to another aspect of the present disclosure, there is provided an object evaluation apparatus including:

the system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for responding to a received object evaluation request and acquiring information to be evaluated according to object identifiers corresponding to at least one object in the object evaluation request, wherein the information to be evaluated comprises object information and transaction information corresponding to the at least one object identifier;

the generation module is used for generating an object evaluation network graph according to the object information and the transaction information respectively corresponding to the at least one object identifier, wherein the object evaluation network graph comprises object nodes respectively corresponding to the at least one object identifier and directed edges between the at least two object nodes, and the directed edges are used for representing the resource flow direction relationship between every two object nodes; and

And the first determining module is used for determining object evaluation results corresponding to the at least one object identifier respectively according to the object evaluation network diagram.

According to another aspect of the present disclosure, there is provided an electronic device including:

one or more processors;

a memory for storing one or more instructions,

wherein the one or more instructions, when executed by the one or more processors, cause the one or more processors to implement a method as described in the present disclosure.

According to another aspect of the present disclosure, there is provided a computer-readable storage medium having stored thereon executable instructions that, when executed by a processor, cause the processor to implement a method as described in the present disclosure.

According to another aspect of the present disclosure, there is provided a computer program product comprising computer executable instructions which, when executed, are adapted to carry out the method as described in the present disclosure.

According to the embodiment of the disclosure, since the information to be evaluated is obtained according to the object identifier corresponding to at least one object in the object evaluation request, and the object evaluation network graph is generated according to the object information and the transaction information corresponding to the at least one object identifier, the directed edges in the object evaluation network graph can characterize the resource flow direction relationship between every two object nodes. On the basis, the object evaluation results corresponding to at least one object identifier are determined according to the object evaluation network diagram, and the object evaluation results are automatically determined by using the object evaluation network diagram, so that the technical problem that the mining efficiency and accuracy of a user cannot be guaranteed in the related art is at least partially overcome, and the object evaluation efficiency and accuracy are further improved.

Drawings

The above and other objects, features and advantages of the present disclosure will become more apparent from the following description of embodiments thereof with reference to the accompanying drawings in which:

FIG. 1 schematically illustrates a system architecture to which an object assessment method may be applied, according to an embodiment of the present disclosure;

FIG. 2 schematically illustrates a flow chart of an object assessment method according to an embodiment of the present disclosure;

FIG. 3 schematically illustrates a flowchart of a method for obtaining information to be evaluated according to object identifiers corresponding to at least one object in an object evaluation request in response to receiving the object evaluation request, according to an embodiment of the disclosure;

FIG. 4 schematically illustrates an example schematic diagram of a process of acquiring information to be evaluated according to object identifiers corresponding to at least one object in an object evaluation request in response to receiving the object evaluation request according to an embodiment of the present disclosure;

FIG. 5 schematically illustrates an example schematic diagram of a process for generating an object assessment network graph from object information and transaction information corresponding to at least one object identification, respectively, according to an embodiment of the present disclosure;

FIG. 6 schematically illustrates an example schematic diagram of an object assessment network graph, according to an embodiment of the disclosure;

FIG. 7 schematically illustrates a flow chart of a method of determining object assessment results each corresponding to at least one object identification from an object assessment network graph, according to an embodiment of the present disclosure;

FIG. 8A schematically illustrates an example schematic diagram of a process of determining a first intermediate object evaluation result corresponding to an object identification from object information corresponding to the object identification according to an embodiment of the present disclosure;

FIG. 8B schematically illustrates an example schematic diagram of a process of determining a second intermediate object assessment result corresponding to an object identification from transaction information corresponding to the object identification according to an embodiment of the present disclosure;

FIG. 8C schematically illustrates an example schematic diagram of a process of determining object evaluation results each corresponding to at least one object identification from an object evaluation network graph according to an embodiment of the disclosure;

FIG. 9 schematically illustrates a block diagram of an object assessment apparatus according to an embodiment of the present disclosure; and

fig. 10 schematically illustrates a block diagram of an electronic device adapted to implement an object assessment method according to an embodiment of the disclosure.

Detailed Description

Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. It should be understood that the description is only exemplary and is not intended to limit the scope of the present disclosure. In the following detailed description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the present disclosure. It may be evident, however, that one or more embodiments may be practiced without these specific details. In addition, in the following description, descriptions of well-known structures and techniques are omitted so as not to unnecessarily obscure the concepts of the present disclosure.

The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. The terms "comprises," "comprising," and/or the like, as used herein, specify the presence of stated features, steps, operations, and/or components, but do not preclude the presence or addition of one or more other features, steps, operations, or components.

All terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art unless otherwise defined. It should be noted that the terms used herein should be construed to have meanings consistent with the context of the present specification and should not be construed in an idealized or overly formal manner.

Where expressions like at least one of "A, B and C, etc. are used, the expressions should generally be interpreted in accordance with the meaning as commonly understood by those skilled in the art (e.g.," a system having at least one of A, B and C "shall include, but not be limited to, a system having a alone, B alone, C alone, a and B together, a and C together, B and C together, and/or A, B, C together, etc.). Where a formulation similar to at least one of "A, B or C, etc." is used, in general such a formulation should be interpreted in accordance with the ordinary understanding of one skilled in the art (e.g. "a system with at least one of A, B or C" would include but not be limited to systems with a alone, B alone, C alone, a and B together, a and C together, B and C together, and/or A, B, C together, etc.).

In the technical scheme of the disclosure, the acquisition, storage, application and the like of the related personal information of the user all conform to the regulations of related laws and regulations, necessary security measures are taken, and the public order harmony is not violated.

In the technical scheme of the disclosure, the authorization or consent of the user is obtained before the personal information of the user is obtained or acquired.

Currently, user mining based on mass data is generally limited to information of a single user, and information contained in a fund flow relation among users is not effectively utilized. In the related art, graph networks are typically constructed from enterprise funds flow relationships using a native PageRank algorithm.

However, the native PageRank algorithm only considers the direction of the edges (i.e. the relation of the flow direction of the funds) in the graph network, but does not consider the attribute of the edges and the attribute information of the nodes (i.e. the attribute of the edge of the funds flow and the attribute of the enterprise), so that the efficiency and the accuracy of the user mining cannot be ensured.

In order to at least partially solve the technical problems in the related art, the present disclosure provides an object evaluation method and apparatus, an electronic device, and a computer-readable storage medium, which can be applied to the computer technical field, the artificial intelligence technical field, the big data technical field, and the financial field. The object evaluation method comprises the following steps: in response to receiving the object evaluation request, acquiring information to be evaluated according to object identifiers corresponding to at least one object in the object evaluation request, wherein the information to be evaluated comprises object information and transaction information corresponding to the at least one object identifier; generating an object evaluation network graph according to the object information and the transaction information corresponding to the at least one object identifier, wherein the object evaluation network graph comprises object nodes corresponding to the at least one object identifier and directed edges between the at least two object nodes, and the directed edges are used for representing the resource flow direction relationship between every two object nodes; and determining object evaluation results respectively corresponding to the at least one object identifier according to the object evaluation network diagram.

It should be noted that, the object evaluation method and apparatus provided in the embodiments of the present disclosure may be used in the computer technical field, the artificial intelligence technical field, the big data technical field, and the financial field, for example, in the network technical field. The object evaluation method and device provided by the embodiment of the disclosure can also be used in any field except the technical field of computers, the technical field of artificial intelligence, the technical field of big data and the financial field, for example, the technical field of information security. The application fields of the object evaluation method and the device provided by the embodiment of the disclosure are not limited.

Fig. 1 schematically illustrates a system architecture to which an object assessment method may be applied according to an embodiment of the present disclosure. It should be noted that fig. 1 is only an example of a system architecture to which embodiments of the present disclosure may be applied to assist those skilled in the art in understanding the technical content of the present disclosure, but does not mean that embodiments of the present disclosure may not be used in other devices, systems, environments, or scenarios.

As shown in fig. 1, a system architecture 100 according to this embodiment may include a first terminal device 101, a second terminal device 102, a third terminal device 103, a network 104, and a server 105. The network 104 is a medium used to provide a communication link between the first terminal device 101, the second terminal device 102, the third terminal device 103, and the server 105. The network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, among others.

The user may interact with the server 105 through the network 104 using at least one of the first terminal device 101, the second terminal device 102, the third terminal device 103, to receive or send messages, etc. Various communication client applications, such as a shopping class application, a web browser application, a search class application, an instant messaging tool, a mailbox client, social platform software, etc. (by way of example only) may be installed on the first terminal device 101, the second terminal device 102, and the third terminal device 103.

The first terminal device 101, the second terminal device 102, the third terminal device 103 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smartphones, tablets, laptop and desktop computers, and the like.

The server 105 may be a server providing various services, such as a background management server (by way of example only) providing support for websites browsed by the user using the first terminal device 101, the second terminal device 102, and the third terminal device 103. The background management server may analyze and process the received data such as the user request, and feed back the processing result (e.g., the web page, information, or data obtained or generated according to the user request) to the terminal device.

It should be noted that, the object evaluation method provided by the embodiments of the present disclosure may be generally performed by the server 105. Accordingly, the object evaluation apparatus provided by the embodiments of the present disclosure may be generally provided in the server 105. The object assessment method provided by the embodiments of the present disclosure may also be performed by a server or a server cluster that is different from the server 105 and is capable of communicating with the first terminal device 101, the second terminal device 102, the third terminal device 103, and/or the server 105. Accordingly, the object evaluation apparatus provided by the embodiments of the present disclosure may also be provided in a server or a server cluster that is different from the server 105 and is capable of communicating with the first terminal device 101, the second terminal device 102, the third terminal device 103, and/or the server 105.

Alternatively, the object evaluation method provided by the embodiment of the present disclosure may also be performed by the first terminal device 101, the second terminal device 102, or the third terminal device 103, or may also be performed by other terminal devices different from the first terminal device 101, the second terminal device 102, or the third terminal device 103. Accordingly, the object evaluation apparatus provided by the embodiments of the present disclosure may also be provided in the first terminal device 101, the second terminal device 102, or the third terminal device 103, or in other terminal devices different from the first terminal device 101, the second terminal device 102, or the third terminal device 103.

It should be understood that the number of terminal devices, networks and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.

It should be noted that the sequence numbers of the respective operations in the following methods are merely representative of the operations for the purpose of description, and should not be construed as representing the order of execution of the respective operations. The method need not be performed in the exact order shown unless explicitly stated.

Fig. 2 schematically illustrates a flow chart of an object assessment method according to an embodiment of the present disclosure.

As shown in fig. 2, the object assessment method 200 includes operations S2 to S230.

In response to receiving the object evaluation request, information to be evaluated is obtained according to the object identifiers corresponding to the at least one object in the object evaluation request, where the information to be evaluated includes the object information and the transaction information corresponding to the at least one object identifier.

In operation S220, an object evaluation network graph is generated according to the object information and the transaction information corresponding to the at least one object identifier, where the object evaluation network graph includes the object node corresponding to the at least one object identifier and the directed edge between the at least two object nodes, and the directed edge is used to characterize the resource flow direction relationship between each two object nodes.

In operation S230, object evaluation results corresponding to each of the at least one object identifier are determined according to the object evaluation network diagram.

According to the embodiment of the disclosure, a code for generating an object evaluation request may be written in a script in advance, and in response to detecting an object evaluation operation performed by a target user using a user terminal, the target terminal may run the script to generate an object evaluation request message, and may send the object evaluation request message to a server, so that the server evaluates at least one object corresponding to the object evaluation operation according to the object evaluation request message, respectively.

According to an embodiment of the present disclosure, the object evaluation request message may include object identifications corresponding to at least one object, respectively. Each of the at least one object may refer to an enterprise client to be evaluated. The object identification corresponding to the object may be used to characterize the identification number (Identity Document, ID) of the enterprise customer to be evaluated.

According to the embodiment of the disclosure, after receiving the object evaluation request, the information to be evaluated may be obtained according to the object identifier corresponding to at least one object in the object evaluation request. The method for obtaining the information to be evaluated can be set according to the actual service requirement, and is not limited herein. For example, the information to be evaluated may be acquired by real-time acquisition. For example, the original object information and the original transaction information corresponding to the at least one object identifier respectively may be acquired, and the information to be evaluated may be obtained by processing the original object information and the original transaction information corresponding to the at least one object identifier respectively. Alternatively, the information to be evaluated may also be obtained from a data source. The data source may include at least one of: local databases, cloud databases, and network resources. For example, a data interface may be invoked, with which information to be evaluated is obtained from a data source. Alternatively, the information to be evaluated may be received from other terminal devices. The method for acquiring the information to be evaluated in the embodiment of the disclosure is not limited.

According to an embodiment of the present disclosure, the information to be evaluated may include sub-information to be evaluated, which corresponds to each of the at least one object identification. The sub-information to be evaluated may include object information and transaction information corresponding to the object identification. The text form of the information to be evaluated can be set according to the actual service requirement, and is not limited herein. For example, the textual form of the information to be evaluated may include at least one of: a spreadsheet (i.e., xlsx or xls) and a text document (i.e., txt).

According to an embodiment of the present disclosure, after obtaining the object information and the transaction information corresponding to each of the at least one object identifier, the object node and the directed edge corresponding to the object identifier may be constructed according to the object information and the transaction information corresponding to the object identifier. The object node may comprise at least one of: target object nodes and associated object nodes. Directed edges may be used to characterize resource flow direction relationships between target object nodes and associated object nodes. On this basis, an object evaluation network graph can be generated from object nodes and directed edges corresponding to the object identifications.

According to an embodiment of the present disclosure, after obtaining the object evaluation network graph, for each of at least one object node of the object evaluation network graph, an object evaluation result corresponding to an object identification of the object node may be determined according to object information and transaction information corresponding to the object node. The object evaluation result may be used to evaluate the object for a high quality degree.

According to the embodiment of the present disclosure, the relationship between the object evaluation result and the quality degree may be configured according to the actual service requirement, which is not limited herein. For example, the greater the value of an object evaluation result, the higher the quality level of an object corresponding to the object evaluation result can be characterized. Conversely, the lower the quality of the object corresponding to the object evaluation result. Alternatively, the smaller the value of the object evaluation result, the higher the quality degree of the object corresponding to the object evaluation result may be characterized. Conversely, the lower the quality of the object corresponding to the object evaluation result.

The object assessment method 200 according to an embodiment of the present disclosure is further described below with reference to fig. 3, 4, 5, 6, 7, 8A, 8B, and 8C.

Fig. 3 schematically illustrates a flowchart of a method for acquiring information to be evaluated according to object identifiers corresponding to at least one object in an object evaluation request in response to receiving the object evaluation request according to an embodiment of the disclosure.

As shown in fig. 3, operation S210 may include operations S311 to S313.

In response to receiving the object evaluation request, original object information and original transaction information corresponding to the object identification are acquired for each of the at least one object identification in operation S311.

In operation S312, object information corresponding to the object identification is determined according to the original object information.

In operation S313, transaction information corresponding to the object identification is determined according to the original transaction information.

According to an embodiment of the present disclosure, after receiving an object evaluation request, original object information and original transaction information corresponding to the object identification may be acquired according to each of at least one object identification included in the object evaluation request. The acquisition modes of the original object information and the original transaction information can be set according to actual service requirements, and are not limited herein. For example, the original object information and the original transaction information may be acquired by real-time acquisition. Alternatively, the original object information and the original transaction information may be obtained from a data source. The data source may include at least one of: local databases, cloud databases, and network resources. Alternatively, the original object information and the original transaction information may be received from other terminal devices. The embodiment of the disclosure does not limit the acquisition mode of the original object information and the original transaction information.

According to an embodiment of the present disclosure, operation S313 may include the following operations.

And determining first auxiliary transaction information according to the original transaction information. And determining second auxiliary transaction information according to the first auxiliary transaction information. And determining transaction information corresponding to the object identifier according to the second auxiliary transaction information.

According to embodiments of the present disclosure, the original transaction information may include transaction detail information. The transaction details may include at least one of: trade opponent information, trade resource value, summary information, trade code information, and resource identification information.

Summary information may refer to written description of transaction appendices, and the like, in accordance with embodiments of the present disclosure. For example, the summary information is "xx commission" and the transaction may be characterized as a commission class transaction. The transaction code information may be used to identify the type of transaction. For example, the transaction code information is "0123" and may characterize that the transaction belongs to the commission class. The transaction code information is "4567" and may characterize the transaction as belonging to the financial purchasing class. The resource identification information may be used to characterize the transaction as belonging to the cash class.

According to embodiments of the present disclosure, after the first auxiliary transaction information is obtained, the second auxiliary transaction information may be determined according to the first auxiliary transaction information. For example, according to the first auxiliary transaction information, the transactions can be combined according to the dimension of the object, that is, the transactions of a plurality of accounts under the same object are combined, so as to obtain candidate second auxiliary transaction information. On the basis, the transaction can be combined according to the candidate second auxiliary transaction information and the transaction opponent information, namely, the transactions of the same transaction parties are summarized, so that the second auxiliary transaction information is obtained. The second auxiliary transaction information may include a target object identification (i.e., debit name), an associated object identification (i.e., credit name), a transaction amount, and a transaction resource value.

According to the embodiment of the disclosure, after the second auxiliary transaction information is obtained, the second auxiliary transaction information may be processed to obtain the transaction information in the form of the target text. For example, the target text form may include at least one of a spreadsheet and a text document.

According to an embodiment of the present disclosure, transaction information corresponding to an object identification may be as shown in table 1 below. In table 1, each row may record transaction information between a pair of transaction opponents. The "serial number" may be used to identify the transaction, the "target object identification" may be used to characterize the object number of the transaction resource transfer-out party, the "associated object identification" may be used to characterize the object number of the transaction resource transfer-in party, and the "transaction resource value" may be used to characterize the transaction total between the transaction opponent pair.

TABLE 1

Sequence number	Target object identification	Associated object identification	Transaction resource value (Wanyuan)
				1	1001109	1006797	100.34
2	1001109	1105316	88.21
				3	1101238	1102765	15.64
4	1006797	1102765	23.66
				5	1006797	1108004	150.89

According to an embodiment of the present disclosure, determining the first auxiliary transaction information may include at least one of the following ways according to the original transaction information.

And under the condition that the original transaction information comprises the first field information, screening the original transaction information according to the first field information to obtain first auxiliary transaction information. And under the condition that the original transaction information comprises the second field information and the third field information, screening the original transaction information according to the second field information and the third field information to obtain second auxiliary transaction information.

According to embodiments of the present disclosure, the original transaction information may include at least one of: first field information, second field information, and third field information.

According to an embodiment of the present disclosure, the first field information may be summary information. The second field information may be transaction code information. The third field information may be resource identification information. After the original transaction information is obtained, field detection can be performed on the original transaction information to obtain a detection result. Under the condition that the detection result represents that the original transaction information comprises abstract information, screening processing can be carried out on the original transaction information according to the abstract information so as to eliminate non-object active transaction in the transaction detail information, and first auxiliary transaction information is obtained. For example, transactions with summary information of "commission" and "interest" may be eliminated.

Alternatively, when the detection result represents that the original transaction information includes transaction code information and resource identification information, screening processing can be performed on the original transaction information according to the transaction code information and the resource identification information, so that no-counter-party transaction in the transaction detail information is removed, and the first auxiliary transaction information is obtained. For example, transactions with transaction code information of financial purchasing class may be eliminated, and transactions with resource identification information of cash class may be eliminated. Alternatively, in the case where the transaction opponent information characterizes both parties to the transaction as to the public and the private users, only the debit transaction may be reserved to complete the duplication removal of the transaction information.

According to the embodiment of the disclosure, since the second auxiliary transaction information is determined according to the first auxiliary transaction information, the first auxiliary transaction information is determined according to the original transaction information, thereby realizing information screening and information merging of the original transaction information. On the basis, the transaction information is determined according to the second auxiliary transaction information, so that the efficiency of determining the transaction information is improved, and the efficiency of evaluating the subsequent object is further improved.

According to an embodiment of the present disclosure, operation S312 may include the following operations.

Third auxiliary object information is determined according to the second auxiliary object information. And determining object information corresponding to the object identification according to the first auxiliary object information and the third auxiliary object information.

According to an embodiment of the present disclosure, the original object information may include first auxiliary object information and second auxiliary object information.

According to an embodiment of the present disclosure, the first auxiliary object information may include object basic information. The object basic information may include at least one of: object hold time, employee count, registered funds, and industry classification. The second auxiliary object information may include object asset management information. The subject asset management information may include at least one of: object deposit balance, legal finance balance, fund balance and bond balance.

According to an embodiment of the present disclosure, determining the third auxiliary object information according to the second auxiliary object information may include the following operations.

A fifth resource accumulation value is determined based on at least one of the fifth resource value, the sixth resource value, the seventh resource value, and the eighth resource value. And determining third auxiliary object information according to the fifth resource accumulated value.

According to an embodiment of the present disclosure, the second auxiliary object information may include at least one of: a fifth resource value, a sixth resource value, a seventh resource value, and an eighth resource value. The fifth resource value may be the object credit balance. The sixth resource value may be a legal financial balance. The seventh resource value may be a fund balance. The eighth resource value may be a bond balance.

According to an embodiment of the present disclosure, the third auxiliary object information may refer to an asset management scale (Asset Under Management, i.e., AUM value) of the bank to the enterprise customer. The AUM value may be used to indirectly measure the asset strength of the subject. The fifth resource accumulation value may be determined according to at least one of the fifth resource value, the sixth resource value, the seventh resource value, and the eighth resource value. For example, the fifth resource accumulation value=object deposit balance+legal financial balance+foundation balance+bond balance.

According to an embodiment of the present disclosure, after the fifth resource accumulation value is obtained, the third auxiliary object information may be determined according to the fifth resource accumulation value. For example, the fifth resource accumulation value may be directly determined as the third auxiliary object information. Alternatively, the third assist object information may be obtained by performing weighting processing on the fifth resource accumulation value according to the third predetermined coefficient.

According to the embodiment of the disclosure, the third auxiliary object information is determined according to the second auxiliary object information, so that the third auxiliary object information can more comprehensively characterize the object information corresponding to the object identification. On the basis, the object information is determined according to the first auxiliary object information and the third auxiliary object information, so that the accuracy of the object information is improved, and the accuracy of subsequent object evaluation is further improved.

According to an embodiment of the present disclosure, object information corresponding to an object identification may be as shown in table 2 below. In table 2, object information of one object may be recorded per line.

TABLE 2

Object identification	Register fund (Wanyuan)	Personnel number (people)	AUM value (Wanyuan)
				1001109	200	80	50.89
1101238	150	75	25.76
				1006797	1000	300	98.64
1105316	600	280	15.77
				1102765	12000	1100	190.26
1108004	400	65	9.35

Fig. 4 schematically illustrates an example schematic diagram of a process of acquiring information to be evaluated according to object identifiers corresponding to at least one object in an object evaluation request in response to receiving the object evaluation request according to an embodiment of the disclosure.

As shown in fig. 4, in response to receiving the object evaluation request 401, in 400, original object information 402 and original transaction information 403 corresponding to the object identifier 401_1 may be acquired according to the object identifier 401_1 corresponding to each of the at least one object in the object evaluation request 401.

After the original object information 402 is obtained, the original object information 402 may include first auxiliary object information 402_1 and second auxiliary object information 402_2. The second auxiliary object information 402_2 may include a fifth resource value 402_21, a sixth resource value 402_22, a seventh resource value 402_23, and an eighth resource value 402_24. The fifth resource accumulation value 404 may be determined according to the fifth resource value 402_21, the sixth resource value 402_22, the seventh resource value 402_23, and the eighth resource value 402_24. After the fifth resource accumulated value 404 is obtained, third auxiliary object information 405 may be determined according to the fifth resource accumulated value 404.

After the third auxiliary object information 405 is obtained, the object information 406 corresponding to the object identification 401_1 may be determined from the first auxiliary object information 402_1 and the third auxiliary object information 405.

After obtaining the original transaction information 403, operation S410 may be performed. In operation S410, the original transaction information 403 includes first field information? If so, the original transaction information 403 may be filtered according to the first field information, to obtain the first auxiliary transaction information 407. If not, operation S420 may be performed.

Is the original transaction information including the second field information and the third field information? If so, the original transaction information 403 may be filtered according to the second field information and the third field information, so as to obtain the first auxiliary transaction information 407. If not, the first auxiliary transaction information determination process may end.

According to an embodiment of the present disclosure, operation S220 may include the following operations.

For each object identifier in at least one object identifier, constructing an object node and a directed edge corresponding to the object identifier according to the object information and the transaction information corresponding to the object identifier. And generating an object evaluation network graph according to the object nodes and the directed edges corresponding to the object identifiers.

According to an embodiment of the present disclosure, an initial network diagram may be constructed using a NetworkX library in Python language before generating an object evaluation network diagram according to object information and transaction information corresponding to at least one object identifier, respectively. For example, a DiGraph base class in the NetworkX library may be invoked to create an initial network graph without nodes and edges.

According to embodiments of the present disclosure, constructing object nodes and directed edges corresponding to object identifications from object information and transaction information corresponding to the object identifications may include the following operations.

And constructing a target object node corresponding to the object identifier according to the object identifier and the object information corresponding to the object identifier. And constructing an associated object node corresponding to the associated object identifier according to the associated object identifier and associated object information corresponding to the associated object identifier. And constructing a directed edge between the target object node and the associated object node according to the transaction resource value corresponding to the object identifier.

According to embodiments of the present disclosure, the transaction information may include an associated object identification and a transaction resource value.

According to embodiments of the present disclosure, after the initial network map is created, table 1 may be read in, each row in table 1 is traversed, and the target object identifier and the associated object identifier of each row are added as nodes to the initial network map. For example, a target object node corresponding to the target object identifier may be constructed according to the target object identifier and target object information corresponding to the target object identifier. And constructing an associated object node corresponding to the associated object identifier according to the associated object identifier and associated object information corresponding to the associated object identifier.

According to embodiments of the present disclosure, after the target object node and the associated object node are constructed, a directed edge directed by the target object node to the associated object node may be constructed. For example, a directed edge between a target object node and an associated object node may be constructed from a transaction resource value corresponding to the target object identification.

According to embodiments of the present disclosure, the steps of constructing the target object node, the associated object node, and the directed edge may be repeatedly performed until all rows in table 1 are added to the initial directed graph, resulting in an object evaluation network graph. In the object assessment network graph, the transaction resource values in table 1 may be characterized as directed edges, and the registered funds, employee numbers, and AUM values in table 2 may be characterized as object nodes.

According to the embodiment of the disclosure, since the target object node is constructed according to the object identifier and the object information corresponding to the object identifier, and the associated object node is constructed according to the associated object identifier and the associated object information corresponding to the associated object identifier, the object node in the object evaluation network graph can characterize the characteristics of the object information. On the basis, the directed edges are constructed between the target object node and the associated object node according to the transaction resource value corresponding to the object identifier, so that the directed edges in the object evaluation network diagram can represent the characteristics of transaction information, the accuracy of generating the object evaluation network diagram is improved, and the accuracy of object evaluation is further improved.

Fig. 5 schematically illustrates an example schematic diagram of a process of generating an object evaluation network graph according to object information and transaction information corresponding to at least one object identification, respectively, according to an embodiment of the disclosure.

As shown in fig. 5, in response to receiving the object evaluation request 501, object information 502 and transaction information 503 corresponding to the object identifier 501_1 may be acquired according to the object identifier 501_1 corresponding to each of the at least one object in the object evaluation request 501 in 500.

After obtaining the object information 502 corresponding to the object identification 501_1, a target object node 504 corresponding to the object identification 501_1 may be constructed from the object identification 501_1 and the object information 502 corresponding to the object identification 501_1.

After obtaining the transaction information 503 corresponding to the object identification 501_1, the transaction information 503 may include an associated object identification 503_1 and a transaction resource value 503_2. The associated object information 505 may be determined from the associated object identification 503_1. From the associated object identification 503_1 and the associated object information 505 corresponding to the associated object identification 503_1, an associated object node 506 corresponding to the associated object identification is constructed.

After the target object node 504 and the associated object node 506 are constructed, a directed edge 507 between the target object node 504 and the associated object node 506 may be constructed from the transaction resource value 503_2 corresponding to the object identification 501_1.

Fig. 6 schematically illustrates an example schematic diagram of an object evaluation network graph according to an embodiment of the disclosure.

As shown in fig. 6, in 600, the process of generating an object evaluation network graph is illustrated with table 1.

Reading line 1 in table 1, an object node n_601 corresponding to the target object identification "1001109" and an object node n_602 corresponding to the associated object identification "1006797" can be constructed. Based on this, a directed edge e_601 directed by object node n_601 to object node n_602 may be constructed from the transaction resource value.

Reading line 2 in table 1, an object node n_603 corresponding to the associated object identification "1105316" can be constructed. Based on this, a directed edge e_602 directed by object node n_601 to object node n_603 may be constructed from the transaction resource value.

Reading line 3 of table 1, an object node n_604 corresponding to the target object identification "1101238" and an object node n_605 corresponding to the associated object identification "1102765" may be constructed. Based on this, a directed edge e_603 pointing from object node n_604 to object node n_605 may be constructed from the transaction resource value.

Reading line 4 of Table 1, a directed edge e_604 directed by object node n_602 to object node n_605 may be constructed from the transaction resource value.

Reading line 5 of table 1, an object node n_606 corresponding to the associated object identification "1108004" may be constructed. Based on this, a directed edge e_605 directed by object node n_602 to object node n_606 may be constructed from the transaction resource value.

And so on, until each row in table 1 is completed, an object assessment network graph may be generated.

Fig. 7 schematically illustrates a flowchart of a method of determining object evaluation results corresponding to at least one object identification each according to an object evaluation network graph according to an embodiment of the present disclosure.

As shown in fig. 7, operation S230 may include operations S731 to S733 for each of the at least one object node.

In operation S731, a first intermediate object evaluation result corresponding to the object identification is determined according to the object information corresponding to the object identification.

In operation S732, a second intermediate object evaluation result corresponding to the object identification is determined according to the transaction information corresponding to the object identification.

In operation S733, an object evaluation result corresponding to the object identification is determined according to the first intermediate object evaluation result and the second intermediate object evaluation result.

According to an embodiment of the present disclosure, the first intermediate object evaluation result may be determined according to object information corresponding to the object identification. The second intermediate object assessment result may be determined from transaction information corresponding to the object identification. The object evaluation result may be determined from the first intermediate object evaluation result and the second intermediate object evaluation result.

According to an embodiment of the present disclosure, after obtaining the object evaluation network graph, for each of at least one object node included in the object evaluation network graph, a first intermediate object evaluation result corresponding to the object node may be determined according to object information corresponding to the object node. The first intermediate object evaluation result may be understood as an object evaluation initial value.

According to an embodiment of the present disclosure, after the object evaluation network diagram is obtained, for each of at least one object node included in the object evaluation network diagram, a second intermediate object evaluation result corresponding to the object node may be determined according to transaction information corresponding to the object node. The second intermediate object evaluation result may be understood as an object evaluation iteration value.

According to the embodiment of the disclosure, after the first intermediate object evaluation result and the second intermediate object evaluation result are obtained, the object evaluation result corresponding to the object identification may be determined according to the first intermediate object evaluation result and the second intermediate object evaluation result. For example, the first intermediate object evaluation result and the second intermediate object evaluation result may be summed to obtain the object evaluation result. Alternatively, the first intermediate object evaluation result and the second intermediate object evaluation result may be weighted, to obtain the object evaluation result.

According to the embodiment of the disclosure, the first intermediate object evaluation result can evaluate the object information corresponding to the object node, and the second intermediate object evaluation result can evaluate the transaction information corresponding to the object node. On the basis, the object evaluation result is determined according to the first intermediate object evaluation result and the second intermediate object evaluation result, so that the object evaluation result fuses the object information and the transaction information of the object node, the importance degree of the object in the object evaluation network diagram can be represented, and the accuracy of object evaluation is improved.

According to an embodiment of the present disclosure, operation S731 may include the following operations.

A first object evaluation value, a second object evaluation value, and a third object evaluation value are determined based on object information corresponding to the object identification. And determining a first intermediate object evaluation result according to the first object evaluation value, the second object evaluation value and the third object evaluation value.

According to an embodiment of the present disclosure, the object information corresponding to the object identification may include a first resource value, a second resource value, and a third resource value.

According to an embodiment of the present disclosure, the first object evaluation value may be determined according to a first ratio value, which may be determined according to a first resource value and a first resource accumulation value, which may be determined according to first resource values respectively corresponding to the at least one object identification.

According to an embodiment of the present disclosure, the second object evaluation value may be determined according to a second ratio, which may be determined according to a second resource value and a second resource accumulation value, which may be determined according to second resource values respectively corresponding to the at least one object identification.

According to an embodiment of the present disclosure, the third object evaluation value may be determined according to a third ratio, which may be determined according to a third resource value and a third resource accumulation value, which may be determined according to third resource values respectively corresponding to the at least one object identification.

According to an embodiment of the present disclosure, the first resource value may be a registered funds, characterized using r. The first resource accumulation value can be determined according to the first resource value r corresponding to the at least one object identifier

On the basis, for the object node i in the at least one object node, the registered funds r of the object node i can be calculated _i And a first resource accumulation value->

Determining a first ratio->

After obtaining the first ratio->

Thereafter, the first ratio value +.>

Directly determined as the first object evaluation value. Alternatively, the first ratio +.>

Processing is performed to obtain a first object evaluation value. The first object evaluation value may be in the form of The ratio of the registered funds of the object node i in the registered funds of all the object nodes is characterized. />

According to an embodiment of the present disclosure, the second resource value may be a number of staff persons, characterized using c. The second resource accumulation value may be determined from the second resource values c corresponding to the at least one object identification respectively

On the basis, for the object node i in the at least one object node, the staff number c of the object node i can be calculated according to _i And a second resource accumulation value +.>

Determining a second ratio->

After obtaining the second ratio->

Thereafter, the second ratio +.>

Directly determined as the second object evaluation value. Alternatively, the second ratio +.>

Processing is performed to obtain a second object evaluation value. The second object assessment value may characterize a ratio of the number of staff members of object node i in the number of staff members of all object nodes.

According to an embodiment of the present disclosure, the third resource value may be an AUM value, characterized using a. The second resource accumulation value can be determined according to the second resource value a corresponding to the at least one object identifier

On the basis, for the object node i in the at least one object node, the staff number a of the object node i can be determined according to _i And a second resource accumulation value +. >

Determining a third ratio->

In obtaining the third ratio->

Thereafter, a third ratio +.>

Directly determined as a third object evaluation value. Alternatively, the third ratio +.>

Processing is performed to obtain a third object evaluation value. The third object evaluation value may characterize a duty ratio of the AUM value of the object node i in the AUM values of all the object nodes.

According to an embodiment of the present disclosure, after the first object evaluation value, the second object evaluation value, and the third object evaluation value are obtained, the first intermediate object evaluation result may be determined according to the first object evaluation value, the second object evaluation value, and the third object evaluation value. For example, a target accumulated value between the first object evaluation value, the second object evaluation value, and the third object evaluation value, that is

And determining a first intermediate object evaluation result according to the fourth predetermined coefficient and the target accumulated value. The fourth predetermined coefficient may be set according to actual service requirements, which is not limited herein. For example, the fourth predetermined coefficient may be +.>

In this case, the first intermediate object evaluation result may be

The first intermediate object assessment result may be used to characterize the own importance of the object node i. The first intermediate object assessment result may refer to the aggregate specific gravity of object node i relative to the global object node in terms of registered funds, employee count, and AUM value dimensions.

According to the embodiment of the disclosure, since the first intermediate object evaluation result is determined according to the first object evaluation value, the second object evaluation value and the third object evaluation value, the first intermediate object evaluation result is integrated with the characteristics of the object node, that is, the registered funds, the number of staff and the AUM value of the node are fully considered, so that the initial importance degree of the object node can be evaluated more comprehensively, and the accuracy of object evaluation is improved. In addition, the first intermediate object evaluation result can be given a higher initial value to the object so as to relieve the cold start problem of the newly added object.

Fig. 8A schematically illustrates an example schematic diagram of a process of determining a first intermediate object evaluation result corresponding to an object identification according to object information corresponding to the object identification according to an embodiment of the present disclosure.

As shown in fig. 8A, in 800A, object information 801 corresponding to an object identification may include a first resource value 802_1, a second resource value 803_1, and a third resource value 804_1. The first resource accumulation value 802_2 may be determined according to the first resource value 802_1 corresponding to each of the at least one object identification. The second resource accumulation value 803_2 is determined according to the second resource value 803_1 corresponding to each of the at least one object identification. A third resource accumulation value 804_2 is determined from the third resource values 804_1 each corresponding to at least one object identification.

After the first resource value 802_1 and the first resource accumulated value 802_2 are obtained, the first ratio 805 may be determined according to the first resource value 802_1 and the first resource accumulated value 802_2. After the first ratio 805 is obtained, a first object evaluation value 806 may be determined from the first ratio 805.

After the second resource value 803_1 and the second resource accumulated value 803_2 are obtained, a second ratio 807 may be determined from the second resource value 803_1 and the second resource accumulated value 803_2. After the second ratio 807 is obtained, a second object evaluation value 808 may be determined based on the second ratio 807.

After the third resource value 804_1 and the third resource accumulated value 804_2 are obtained, a third ratio 809 may be determined from the third resource value 804_1 and the third resource accumulated value 804_2. After the third ratio 809 is obtained, a third object evaluation value 810 may be determined from the third ratio 809.

After the first object evaluation value 806, the second object evaluation value 808, and the third object evaluation value 810 are obtained, the first intermediate object evaluation result 811 may be determined based on the first object evaluation value 806, the second object evaluation value 808, and the third object evaluation value 810.

According to an embodiment of the present disclosure, operation S732 may include the following operations.

At least one fourth object assessment value is determined based on the transaction information corresponding to the object identification. And determining a second intermediate object evaluation result according to the at least one fourth object evaluation value.

According to an embodiment of the present disclosure, the transaction information corresponding to the object identification may include a fourth resource value. Each of the at least one fourth object evaluation value may be determined according to a fourth ratio, which may be determined according to a fourth resource value and a fourth resource accumulation value, which may be determined according to a fourth resource value corresponding to each of the at least one object identification.

According to an embodiment of the present disclosure, the fourth resource value may be a trading resource value, characterized using m. The fourth resource accumulation value may be determined from fourth resource values m each corresponding to at least one object identification

On the basis, for the object node i in the at least one object node, the fourth resource value m of the object node i can be calculated _j→i And a fourth resource accumulation value->

Determining the fourth ratio->

In obtaining the fourth ratio->

Thereafter, the fourth ratio +.>

Directly determined as the fourth object evaluation value. Alternatively, the fourth ratio +. >

Processing is performed to obtain a fourth object evaluation value flowing from the object node j to the object node i. The fourth object assessment value may characterize a ratio of the trading resource values flowing from object node j to object node i among the trading resource values of all object nodes.

According to the embodiment of the disclosure, after obtaining the at least one fourth object evaluation value, the at least one fourth object evaluation value pointing to the object node i may be summarized, and the second intermediate object evaluation result may be determined as

). The second intermediate object assessment result may be used to characterize the importance of the object node i.

According to the embodiment of the disclosure, since the second intermediate object evaluation result is determined according to at least one fourth object evaluation value, the second intermediate object evaluation result is integrated with the feature of the directed edge, that is, the iteration value of the transaction resource value flowing into the object node can be transmitted through the proportion of the transaction resource value as the weight, so that the importance degree of the object node can be evaluated more accurately, and the accuracy of object evaluation is improved.

Fig. 8B schematically illustrates an example schematic diagram of a process of determining a second intermediate object evaluation result corresponding to an object identification according to transaction information corresponding to the object identification according to an embodiment of the present disclosure.

As shown in fig. 8B, in 800B, transaction information 812 corresponding to the object identification may include a fourth resource value 813_1. The fourth resource accumulation value 813_2 may be determined according to the fourth resource value 813_1 corresponding to each of the at least one object identification.

After the fourth resource value 813_1 and the fourth resource accumulated value 813_2 are obtained, a fourth ratio 814 may be determined from the fourth resource value 813_1 and the fourth resource accumulated value 813_2. After the fourth ratio 814 is obtained, at least one fourth object evaluation value 815 may be determined based on the fourth ratio 814.

After the at least one fourth object evaluation value 815 is obtained, a second intermediate object evaluation result 816 may be determined from the at least one fourth object evaluation value 815.

According to an embodiment of the present disclosure, operation S733 may include the following operations.

And determining a first object evaluation result according to the first intermediate object evaluation result and the first predetermined coefficient. And determining a second object evaluation result according to the second intermediate object evaluation result and a second predetermined coefficient. And determining an object evaluation result according to the first object evaluation result and the second object evaluation result.

According to an embodiment of the present disclosure, the relationship between the first predetermined coefficient and the second predetermined coefficient may satisfy the predetermined condition.

According to the embodiment of the present disclosure, the predetermined condition may be set according to actual service requirements, which is not limited herein. For example, the predetermined condition may be that the sum of the first predetermined coefficient and the second predetermined coefficient is 1, in which case the first predetermined coefficient may be (1- α) and the second predetermined coefficient may be α. Alpha can be set according to actual service requirements, and is not limited herein. For example, α may be 0.85.

According to the embodiment of the disclosure, the result can be evaluated according to the first intermediate object

And a first predetermined coefficient (1-alpha), determining a first object evaluation result

According toSecond intermediate object assessment result->

And a second predetermined coefficient alpha, determining a second subject evaluation result +.>

According to an embodiment of the present disclosure, after the first object evaluation result and the second object evaluation result are obtained, the object evaluation result may be determined according to the first object evaluation result and the second object evaluation result. For example, as shown in the following formula (1), the object evaluation result may be determined from the sum of the first object evaluation result and the second object evaluation result.

Wherein, the liquid crystal display device comprises a liquid crystal display device,

representing object evaluation results of object nodes i, t representing iteration times, N representing the number of object nodes in an object evaluation network graph, (1-alpha) representing a first predetermined coefficient, alpha representing a second predetermined coefficient, r _i Registering funds characterizing object node i, c _i Characterizing staff number, a, of object node i _i AUM value characterizing object node i, j characterizing object node pointing to object node i, |OUT _j I characterizes the degree of egress, IN, of the object node j _i Characterizing a set of object nodes pointing to object node i, m _j Characterizing transaction resource values, m, flowing out of object node j _j→i The transaction resource value that characterizes the flow of object node j to object node i.

Fig. 8C schematically illustrates an example schematic diagram of a process of determining object evaluation results corresponding to at least one object identifier each according to an object evaluation network graph according to an embodiment of the disclosure.

As shown in fig. 8C, in 800C, a relationship between a first predetermined coefficient 817_1 and a second predetermined coefficient 817_2 may satisfy a predetermined condition 817.

After obtaining the first intermediate object evaluation result 818 and the second intermediate object evaluation result 819, a first object evaluation result 820 may be determined from the first intermediate object evaluation result 818 and the first predetermined coefficient 817_1. The second object evaluation result 821 is determined based on the second intermediate object evaluation result 819 and the second predetermined coefficient 817_2.

After the first object evaluation result 820 and the second object evaluation result 821 are obtained, an object evaluation result 822 may be determined according to the first object evaluation result 820 and the second object evaluation result 821.

According to an embodiment of the present disclosure, the object assessment method 200 may further include the following operations.

For each of the object evaluation results corresponding to each of the at least one object identification, determining an object corresponding to the object evaluation result as a first target object if the object evaluation result is greater than or equal to a predetermined threshold. In the case where the object evaluation result is smaller than the predetermined threshold value, an object corresponding to the object evaluation result is determined as the second target object.

According to an embodiment of the present disclosure, after obtaining object evaluation results each corresponding to at least one object identifier, the at least one object evaluation result may be filtered according to a predetermined threshold. The predetermined threshold may be set according to actual service requirements, and is not limited herein. For example, the predetermined threshold may be set to 0.95.

According to the embodiment of the present disclosure, in the case where the object evaluation result is greater than or equal to the predetermined threshold value, the object corresponding to the object evaluation result may be considered to have a higher quality degree, and the object corresponding to the object evaluation result may be determined as the first target object. In the case where the object evaluation result is smaller than the predetermined threshold value, the object corresponding to the object evaluation result may be considered to have a low degree of quality, and the object corresponding to the object evaluation result may be determined as the second target object.

According to the embodiment of the disclosure, after the object evaluation results corresponding to the at least one object identifier are obtained, the at least one object evaluation result may be further ranked from high to low, so as to obtain a ranking result. And determining an object corresponding to the object evaluation result at the first preset position of the sorting result as a first target object according to the sorting result, and determining an object corresponding to the object evaluation result at the second preset position of the sorting result as a second target object.

According to the embodiment of the disclosure, the object evaluation is completed according to the relation between the object evaluation result and the preset threshold value, so that the high-quality object can be effectively mined based on the object evaluation network diagram, further, the staff is guided to pay attention to the key object, loss of the high-quality object is avoided, and meanwhile, discovery of a high-quality new object and timely expansion marketing are facilitated.

The above is only an exemplary embodiment, but is not limited thereto, and other object evaluation methods known in the art may be included as long as the efficiency and accuracy of object evaluation can be improved.

Fig. 9 schematically illustrates a block diagram of an object evaluation apparatus according to an embodiment of the present disclosure.

As shown in fig. 9, the object evaluation apparatus 900 may include an acquisition module 910, a generation module 920, and a first determination module 930.

The obtaining module 910 is configured to obtain, in response to receiving the object evaluation request, information to be evaluated according to object identifiers corresponding to at least one object in the object evaluation request, where the information to be evaluated includes object information and transaction information corresponding to at least one object identifier.

The generating module 920 is configured to generate an object evaluation network graph according to the object information and the transaction information corresponding to the at least one object identifier, where the object evaluation network graph includes an object node corresponding to the at least one object identifier and a directed edge between the at least two object nodes, and the directed edge is used to characterize a resource flow direction relationship between each two object nodes.

The first determining module 930 is configured to determine, according to the object evaluation network graph, object evaluation results corresponding to at least one object identifier.

According to an embodiment of the present disclosure, the first determination module 930 may include a first determination sub-module, a second determination sub-module, and a third determination sub-module for each of the at least one object node.

And the first determining submodule is used for determining a first intermediate object evaluation result corresponding to the object identifier according to the object information corresponding to the object identifier.

And the second determining submodule is used for determining a second intermediate object evaluation result corresponding to the object identifier according to the transaction information corresponding to the object identifier.

And the third determining submodule is used for determining an object evaluation result corresponding to the object identifier according to the first intermediate object evaluation result and the second intermediate object evaluation result.

According to an embodiment of the present disclosure, the first determination sub-module may include a first determination unit and a second determination unit.

A first determining unit configured to determine a first object evaluation value, a second object evaluation value, and a third object evaluation value based on object information corresponding to the object identification.

And a second determining unit configured to determine a first intermediate object evaluation result based on the first object evaluation value, the second object evaluation value, and the third object evaluation value.

According to an embodiment of the present disclosure, the object information corresponding to the object identification includes a first resource value, a second resource value, and a third resource value.

According to an embodiment of the present disclosure, the first object evaluation value is determined according to a first ratio value, which is determined according to a first resource value and a first resource accumulation value, which is determined according to a first resource value corresponding to each of the at least one object identification.

According to an embodiment of the present disclosure, the second object evaluation value is determined according to a second ratio determined according to a second resource value and a second resource accumulation value determined according to a second resource value corresponding to each of the at least one object identification.

According to an embodiment of the present disclosure, the third object evaluation value is determined according to a third ratio determined according to a third resource value and a third resource accumulation value determined according to a third resource value corresponding to each of the at least one object identification.

According to an embodiment of the present disclosure, the transaction information corresponding to the object identification includes a fourth resource value.

According to an embodiment of the present disclosure, the second determination sub-module may include a third determination unit and a fourth determination unit.

And the third determining unit is used for determining at least one fourth object evaluation value according to the transaction information corresponding to the object identification.

And a fourth determining unit for determining a second intermediate object evaluation result according to at least one fourth object evaluation value.

According to an embodiment of the present disclosure, each of the at least one fourth object evaluation value is determined according to a fourth ratio determined according to a fourth resource value and a fourth resource accumulation value determined according to a fourth resource value corresponding to each of the at least one object identification.

According to an embodiment of the present disclosure, the third determination sub-module may include a fifth determination unit, a sixth determination unit, and a seventh determination unit.

And a fifth determining unit, configured to determine a first object evaluation result according to the first intermediate object evaluation result and the first predetermined coefficient.

And a sixth determining unit, configured to determine a second object evaluation result according to the second intermediate object evaluation result and the second predetermined coefficient.

And a seventh determining unit, configured to determine an object evaluation result according to the first object evaluation result and the second object evaluation result.

According to an embodiment of the present disclosure, the relation between the first predetermined coefficient and the second predetermined coefficient satisfies a predetermined condition.

According to an embodiment of the present disclosure, the acquisition module 910 may include an acquisition sub-module, a fourth determination sub-module, and a fifth determination sub-module.

And the acquisition sub-module is used for responding to the received object evaluation request and acquiring original object information and original transaction information corresponding to the object identifiers aiming at each object identifier in the at least one object identifier.

And the fourth determining submodule is used for determining object information corresponding to the object identifier according to the original object information.

And a fifth determining sub-module, configured to determine transaction information corresponding to the object identifier according to the original transaction information.

According to an embodiment of the present disclosure, the fifth determination sub-module may include an eighth determination unit, a ninth determination unit, and a tenth determination unit.

And an eighth determining unit, configured to determine the first auxiliary transaction information according to the original transaction information.

And the ninth determining unit is used for determining the second auxiliary transaction information according to the first auxiliary transaction information.

And a tenth determining unit, configured to determine transaction information corresponding to the object identifier according to the second auxiliary transaction information.

According to an embodiment of the present disclosure, the eighth determination unit includes at least one of the following first processing subunit and second processing subunit.

And the first processing subunit is used for screening the original transaction information according to the first field information to obtain first auxiliary transaction information under the condition that the original transaction information comprises the first field information.

And the second processing subunit is used for screening the original transaction information according to the second field information and the third field information to obtain the first auxiliary transaction information when the original transaction information comprises the second field information and the third field information.

According to an embodiment of the present disclosure, the original object information includes first auxiliary object information and second auxiliary object information.

According to an embodiment of the present disclosure, the fourth determination sub-module may include an eleventh determination unit and a twelfth determination unit.

An eleventh determination unit configured to determine third auxiliary object information based on the second auxiliary object information.

And a twelfth determining unit for determining object information corresponding to the object identification according to the first auxiliary object information and the third auxiliary object information.

According to an embodiment of the present disclosure, the second auxiliary object information includes at least one of: a fifth resource value, a sixth resource value, a seventh resource value, and an eighth resource value.

According to an embodiment of the present disclosure, the eleventh determining unit may include a first determining subunit and a second determining subunit.

The first determining subunit is configured to determine a fifth resource accumulation value according to at least one of the fifth resource value, the sixth resource value, the seventh resource value, and the eighth resource value.

And the second determining subunit is used for determining the third auxiliary object information according to the fifth resource accumulated value.

According to embodiments of the present disclosure, the generation module 920 may include a construction sub-module and a generation sub-module.

The construction submodule is used for constructing object nodes and directed edges corresponding to the object identifiers according to the object information and the transaction information corresponding to the object identifiers aiming at each object identifier in the at least one object identifier.

And the generation sub-module is used for generating an object evaluation network graph according to the object nodes and the directed edges corresponding to the object identifiers.

According to an embodiment of the present disclosure, the build sub-module may include a first build unit, a second build unit, and a third build unit.

And the first construction unit is used for constructing a target object node corresponding to the object identifier according to the object identifier and the object information corresponding to the object identifier.

And the second construction unit is used for constructing the associated object node corresponding to the associated object identifier according to the associated object identifier and the associated object information corresponding to the associated object identifier.

And the third construction unit is used for constructing a directed edge between the target object node and the associated object node according to the transaction resource value corresponding to the object identifier.

According to an embodiment of the present disclosure, the object evaluation device 900 may further include a second determination module and a third determination module.

And a second determining module, configured to determine, for each object evaluation result in the object evaluation results corresponding to the at least one object identifier, an object corresponding to the object evaluation result as a first target object if the object evaluation result is greater than or equal to a predetermined threshold.

And a third determining module, configured to determine an object corresponding to the object evaluation result as a second target object if the object evaluation result is smaller than a predetermined threshold.

Any number of modules, sub-modules, units, sub-units, or at least some of the functionality of any number of the sub-units according to embodiments of the present disclosure may be implemented in one module. Any one or more of the modules, sub-modules, units, sub-units according to embodiments of the present disclosure may be implemented as split into multiple modules. Any one or more of the modules, sub-modules, units, sub-units according to embodiments of the present disclosure may be implemented at least in part as a hardware circuit, such as a Field Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), a system-on-chip, a system-on-substrate, a system-on-package, an Application Specific Integrated Circuit (ASIC), or in any other reasonable manner of hardware or firmware that integrates or encapsulates the circuit, or in any one of or a suitable combination of three of software, hardware, and firmware. Alternatively, one or more of the modules, sub-modules, units, sub-units according to embodiments of the present disclosure may be at least partially implemented as computer program modules, which when executed, may perform the corresponding functions.

For example, any of the acquisition module 910, the generation module 920, and the first determination module 930 may be combined in one module/unit/sub-unit or any of them may be split into a plurality of modules/units/sub-units. Alternatively, at least some of the functionality of one or more of these modules/units/sub-units may be combined with at least some of the functionality of other modules/units/sub-units and implemented in one module/unit/sub-unit. According to embodiments of the present disclosure, at least one of the acquisition module 910, the generation module 920, and the first determination module 930 may be implemented at least in part as hardware circuitry, such as a Field Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), a system-on-chip, a system-on-substrate, a system-on-package, an Application Specific Integrated Circuit (ASIC), or in hardware or firmware, such as any other reasonable way of integrating or packaging circuitry, or in any one of or a suitable combination of three of software, hardware, and firmware. Alternatively, at least one of the acquisition module 910, the generation module 920, and the first determination module 930 may be at least partially implemented as computer program modules, which when executed, may perform the respective functions.

It should be noted that, in the embodiment of the present disclosure, the object evaluation device portion corresponds to the object evaluation method portion in the embodiment of the present disclosure, and the description of the object evaluation device portion specifically refers to the object evaluation method portion and is not described herein.

Fig. 10 schematically illustrates a block diagram of an electronic device adapted to implement an object assessment method according to an embodiment of the disclosure. The electronic device shown in fig. 10 is merely an example and should not be construed to limit the functionality and scope of use of the disclosed embodiments.

As shown in fig. 10, a computer electronic device 1000 according to an embodiment of the present disclosure includes a processor 1001 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 1002 or a program loaded from a storage section 1009 into a Random Access Memory (RAM) 1003. The processor 1001 may include, for example, a general purpose microprocessor (e.g., a CPU), an instruction set processor and/or an associated chipset and/or a special purpose microprocessor (e.g., an Application Specific Integrated Circuit (ASIC)), or the like. The processor 1001 may also include on-board memory for caching purposes. The processor 1001 may include a single processing unit or multiple processing units for performing different actions of the method flows according to embodiments of the present disclosure.

In the RAM 1003, various programs and data necessary for the operation of the electronic apparatus 1000 are stored. The processor 1001, the ROM 1002, and the RAM 1003 are connected to each other by a bus 1004. The processor 1001 performs various operations of the method flow according to the embodiment of the present disclosure by executing programs in the ROM 1002 and/or the RAM 1003. Note that the program may be stored in one or more memories other than the ROM 1002 and the RAM 1003. The processor 1001 may also perform various operations of the method flow according to the embodiments of the present disclosure by executing programs stored in the one or more memories.

According to an embodiment of the disclosure, the electronic device 1000 may also include an input/output (I/O) interface 1005, the input/output (I/O) interface 1005 also being connected to the bus 1004. The electronic device 1000 may also include one or more of the following components connected to the I/O interface 1005: an input section 1006 including a keyboard, a mouse, and the like; an output portion 1007 including a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), etc., and a speaker, etc.; a storage portion 1008 including a hard disk or the like; and a communication section 1009 including a network interface card such as a LAN card, a modem, or the like. The communication section 1009 performs communication processing via a network such as the internet. The drive 1010 is also connected to the I/O interface 1005 as needed. A removable medium 1011, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like, is installed as needed in the drive 1010, so that a computer program read out therefrom is installed as needed in the storage section 1008.

According to embodiments of the present disclosure, the method flow according to embodiments of the present disclosure may be implemented as a computer software program. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable storage medium, the computer program comprising program code for performing the method shown in the flowcharts. In such an embodiment, the computer program may be downloaded and installed from a network via the communication portion 1009, and/or installed from the removable medium 1011. The above-described functions defined in the system of the embodiments of the present disclosure are performed when the computer program is executed by the processor 1001. The systems, devices, apparatus, modules, units, etc. described above may be implemented by computer program modules according to embodiments of the disclosure.

The present disclosure also provides a computer-readable storage medium that may be embodied in the apparatus/device/system described in the above embodiments; or may exist alone without being assembled into the apparatus/device/system. The computer-readable storage medium carries one or more programs which, when executed, implement methods in accordance with embodiments of the present disclosure.

According to embodiments of the present disclosure, the computer-readable storage medium may be a non-volatile computer-readable storage medium. Examples may include, but are not limited to: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this disclosure, a computer-readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.

For example, according to embodiments of the present disclosure, the computer-readable storage medium may include ROM 1002 and/or RAM 1003 and/or one or more memories other than ROM 1002 and RAM 1003 described above.

Embodiments of the present disclosure also include a computer program product comprising a computer program comprising program code for performing the methods provided by the embodiments of the present disclosure, the program code for causing an electronic device to implement the object assessment methods provided by the embodiments of the present disclosure when the computer program product is run on the electronic device.

The above-described functions defined in the system/apparatus of the embodiments of the present disclosure are performed when the computer program is executed by the processor 1001. The systems, apparatus, modules, units, etc. described above may be implemented by computer program modules according to embodiments of the disclosure.

In one embodiment, the computer program may be based on a tangible storage medium such as an optical storage device, a magnetic storage device, or the like. In another embodiment, the computer program may also be transmitted in the form of signals on a network medium, distributed, and downloaded and installed via the communication section 1009, and/or installed from the removable medium 1011. The computer program may include program code that may be transmitted using any appropriate network medium, including but not limited to: wireless, wired, etc., or any suitable combination of the foregoing.

According to embodiments of the present disclosure, program code for performing computer programs provided by embodiments of the present disclosure may be written in any combination of one or more programming languages, and in particular, such computer programs may be implemented in high-level procedural and/or object-oriented programming languages, and/or assembly/machine languages. Programming languages include, but are not limited to, such as Java, c++, python, "C" or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of remote computing devices, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., connected via the Internet using an Internet service provider).

The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions. Those skilled in the art will appreciate that the features recited in the various embodiments of the disclosure and/or in the claims may be combined in various combinations and/or combinations, even if such combinations or combinations are not explicitly recited in the disclosure. In particular, the features recited in the various embodiments of the present disclosure and/or the claims may be variously combined and/or combined without departing from the spirit and teachings of the present disclosure. All such combinations and/or combinations fall within the scope of the present disclosure.

The embodiments of the present disclosure are described above. However, these examples are for illustrative purposes only and are not intended to limit the scope of the present disclosure. Although the embodiments are described above separately, this does not mean that the measures in the embodiments cannot be used advantageously in combination. The scope of the disclosure is defined by the appended claims and equivalents thereof. Various alternatives and modifications can be made by those skilled in the art without departing from the scope of the disclosure, and such alternatives and modifications are intended to fall within the scope of the disclosure.

Claims

1. An object assessment method, comprising:

2. The method of claim 1, wherein the determining, from the object evaluation network graph, object evaluation results corresponding to each of the at least one object identifier comprises:

for each of the at least one object node,

3. The method of claim 2, wherein the determining a first intermediate object evaluation result corresponding to the object identification from object information corresponding to the object identification comprises:

determining a first object evaluation value, a second object evaluation value and a third object evaluation value according to the object information corresponding to the object identifier; and

4. A method according to claim 3, wherein the object information corresponding to the object identity comprises a first resource value, a second resource value and a third resource value;

wherein the first object evaluation value is determined according to a first ratio, the first ratio is determined according to the first resource value and a first resource accumulation value, and the first resource accumulation value is determined according to a first resource value corresponding to each of the at least one object identifier;

wherein the second object evaluation value is determined according to a second ratio, the second ratio is determined according to the second resource value and a second resource accumulation value, and the second resource accumulation value is determined according to a second resource value corresponding to each of the at least one object identifier; and

the third object evaluation value is determined according to a third ratio, the third ratio is determined according to the third resource value and a third resource accumulation value, and the third resource accumulation value is determined according to a third resource value corresponding to each of the at least one object identifier.

5. The method of claim 2, wherein the transaction information corresponding to the object identification includes a fourth resource value;

wherein, the determining, according to the transaction information corresponding to the object identifier, the second intermediate object evaluation result corresponding to the object identifier includes:

determining the second intermediate object evaluation result according to the at least one fourth object evaluation value;

wherein each of the at least one fourth object evaluation value is determined according to a fourth ratio determined according to the fourth resource value and a fourth resource accumulation value determined according to a fourth resource value corresponding to each of the at least one object identifier.

6. The method of claim 2, wherein the determining the object assessment result corresponding to the object identification from the first intermediate object assessment result and the second intermediate object assessment result comprises:

determining the object evaluation result according to the first object evaluation result and the second object evaluation result;

wherein a relation between the first predetermined coefficient and the second predetermined coefficient satisfies a predetermined condition.

7. The method according to any one of claims 1 to 6, wherein, in response to receiving an object evaluation request, obtaining information to be evaluated according to object identifiers corresponding to at least one object in the object evaluation request, includes:

8. The method of claim 7, wherein the determining transaction information corresponding to the object identification from the original transaction information comprises:

9. The method of claim 8, wherein the original transaction information includes at least one of: first field information, second field information, and third field information;

wherein said determining first auxiliary transaction information from said original transaction information comprises at least one of:

and under the condition that the original transaction information comprises the second field information and the third field information, screening the original transaction information according to the second field information and the third field information to obtain the first auxiliary transaction information.

10. The method of claim 7, wherein the original object information includes first auxiliary object information and second auxiliary object information;

Wherein, the determining the object information corresponding to the object identifier according to the original object information includes:

and determining object information corresponding to the object identification according to the first auxiliary object information and the third auxiliary object information.

11. The method of claim 10, wherein the second auxiliary object information comprises at least one of: a fifth resource value, a sixth resource value, a seventh resource value, and an eighth resource value;

wherein the determining third auxiliary object information according to the second auxiliary object information includes:

12. The method according to any one of claims 1 to 6, wherein the generating an object assessment network graph from the object information and transaction information respectively corresponding to the at least one object identification comprises:

for each of the at least one object identification,

13. The method of claim 12, wherein the transaction information includes an associated object identification and a transaction resource value;

wherein, the constructing the object node and the directed edge corresponding to the object identifier according to the object information and the transaction information corresponding to the object identifier includes:

14. The method of any of claims 1 to 6, further comprising, after the determining, from the object evaluation network graph, object evaluation results each corresponding to the at least one object identification:

For each of the object evaluation results corresponding to the at least one object identification,

15. An object assessment apparatus comprising:

16. An electronic device, comprising:

one or more processors;

a memory for storing one or more instructions,

wherein the one or more instructions, when executed by the one or more processors, cause the one or more processors to implement the method of any of claims 1 to 14.

17. A computer readable storage medium having stored thereon executable instructions which when executed by a processor cause the processor to implement the method of any of claims 1 to 14.

18. A computer program product comprising computer executable instructions for implementing the method of any one of claims 1 to 14 when executed.