CN-122022869-A - Robot-based data processing method, apparatus, device, medium, and program product

CN122022869ACN 122022869 ACN122022869 ACN 122022869ACN-122022869-A

Abstract

The application provides a data processing method based on a robot, which can be applied to the technical field of artificial intelligence. The method comprises the steps of obtaining identity index information of a client, executing identity association and attribute matching processing based on the identity index information to generate a client portrait data set, executing marketing interaction with the client based on the client portrait data set and pre-stored marketing strategy data, generating a service handling judgment signal based on interaction data generated in the marketing interaction, responding to the service handling judgment signal to confirm handling, executing context data packaging processing according to the interaction data to obtain service pre-order data, and transmitting the service pre-order data to a server side for triggering the server side to construct a service handling environment based on the service pre-order data. The application also provides a robot-based data processing device, equipment, a storage medium and a program product.

Inventors

Song Chengzhan
ZHAO YIMING
KE SHANGFENG

Assignees

中国工商银行股份有限公司

Dates

Publication Date: 20260512
Application Date: 20260203

Claims (11)

1. A robot-based data processing method, the method comprising: acquiring identity index information of a client; Based on the identity index information, performing identity association and attribute matching processing to generate a customer portrait dataset; Executing marketing interaction with the client based on the client portrait data set and pre-stored marketing strategy data, and generating a business handling judgment signal based on interaction data generated in the marketing interaction; Responding to the business transaction judging signal to confirm transaction, and executing context data packaging processing according to the interaction data to obtain business pre-order data; And transmitting the service pre-order data to a server side, and triggering the server side to construct a service handling environment based on the service pre-order data.
2. The method of claim 1, wherein the performing a marketing interaction with the customer and generating a business transaction determination signal based on interaction data generated in the marketing interaction comprises: Generating and outputting interactive contents based on the customer portrait data set and the pre-stored marketing strategy data; recording feedback data of a client to the interactive content to generate the interactive data, wherein the interactive data at least comprises a multi-turn dialogue text sequence and a client operation behavior log; and generating the business handling judgment signal based on the interaction data.
3. The method of claim 1, wherein the step of determining the position of the substrate comprises, The business pre-order data comprises the identity index information, the target product identification and the abstract information of the interaction data.
4. A method according to claim 3, wherein said performing a context data packaging process based on said interaction data to obtain business pre-order data comprises: According to the interaction data, executing context extraction processing based on session identification to obtain session context corresponding to the marketing interaction; According to the conversation context, executing analysis processing based on structural semantic analysis to obtain target product identification confirmed to be transacted and business clause parameters promised to clients; And packaging the identity index information, the target product identifier and the interaction abstract information containing the business clause parameters into the business pre-order data with a preset format.
5. The method of claim 2, wherein generating the business transaction determination signal based on the interaction data comprises: According to the multi-round dialogue text sequence, semantic intention recognition is executed, and a first intention score is obtained; according to the client operation behavior log, confirmation and identification processing aiming at preset service options is executed to obtain a second intention score; and generating the business handling judgment signal for representing confirmation handling in response to the first intention score or the second intention score exceeding a preset threshold.
6. The method of claim 2, wherein the performing an identity association and attribute matching process based on the identity index information to generate a customer representation dataset comprises: Executing client number association query processing according to the identity index information and a pre-stored client information database; responding to the success of the association inquiry, and acquiring historical data corresponding to the client number based on the associated client number so as to generate the client portrait data set; And responding to the failure of the associated query, executing the analysis processing of the client attribute information and the policy matching processing based on the attribute according to the identity index information, and generating the client portrait data set.
7. The method of claim 6, wherein said generating said customer representation dataset in response to an associated query failure by performing a customer attribute information parsing process and an attribute-based policy matching process based on said identity index information, comprises: according to the identity index information, executing analysis processing of the client attribute information to obtain the client attribute information corresponding to the identity index information; And matching at least one dimension attribute in the client attribute information with a strategy rule in the marketing strategy library to obtain an initial marketing strategy set suitable for the identity index information, wherein the initial marketing strategy set is used as the client portrait data set.
8. A robot-based data processing apparatus, the apparatus comprising: the first acquisition module is configured to acquire the identity index information of the client; the first processing module is configured to execute identity association and attribute matching processing based on the identity index information to generate a customer portrait data set; the second processing module is configured to execute marketing interaction with the client based on the client portrait data set and pre-stored marketing strategy data, and generate a business handling judgment signal based on interaction data generated in the marketing interaction; the third processing module is configured to execute the processing of responding to the business processing judgment signal as confirmation processing, and execute the context data packaging processing according to the interaction data to obtain business pre-order data; And the first conveying module is configured to transmit the service pre-order data to a server side and is used for triggering the server side to construct a service handling environment based on the service pre-order data.
9. An electronic device, comprising: one or more processors; A memory for storing one or more computer programs, Characterized in that the one or more processors execute the one or more computer programs to implement the steps of the method according to any one of claims 1-7.
10. A computer-readable storage medium, on which a computer program or instructions is stored, which, when executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.
11. A computer program product comprising a computer program or instructions which, when executed by a processor, implement the steps of the method according to any one of claims 1 to 7.

Description

Robot-based data processing method, apparatus, device, medium, and program product Technical Field The present application relates to the field of artificial intelligence technology, and more particularly, to a robot-based data processing method, apparatus, device, medium, and program product. Background In modern service-type network architecture, application scenarios of service-type robots are expanding from single navigation consultation to complex business collaboration fields, and service-type robots are mainly arranged in a front-end interaction edge domain in a system architecture, however, the front-end interaction domain and a back-end business processing domain are generally designed into two technically relatively independent system environments. The front-end interaction domain mainly depends on edge computing equipment of the service robot, and focuses on processing unstructured and localized data such as voice streams, image streams and behavior logs to maintain high concurrency interaction instantaneity, while the back-end business processing domain depends on a core server cluster and operates in an isolation network with a high security level, so that the back-end business processing domain only receives standardized account instructions, transaction parameters and other highly structured data to ensure the atomicity and consistency of the core data. However, the prior art has significant data interoperability barriers between the above-mentioned heterogeneous domains. First, due to the incompatibility of the physical isolation of the network security domains and the data protocols, the session context (e.g., the intended state, the validated unstructured parameters) accumulated by the front-end interaction domain is difficult to migrate across domains to the back-end system without loss. This results in a loss of session state when the service flow is switched from front-end interaction to back-end processing, and the system cannot relay the preamble interaction results, resulting in data link failure. In addition, the current intention triggering mechanism depends on simple keyword matching, lacks comprehensive confidence computing capability based on sequential dialogue logic and behavior characteristics, and is difficult to accurately lock service triggering time in complex interaction scenes. Finally, for target objects without history records in a local database, the existing system often lacks a generalized matching algorithm based on attribute characteristics, so that an adaptive initialization strategy configuration is difficult to generate in a cold start stage. Disclosure of Invention In view of the above, the present application provides a robot-based data processing method, apparatus, device, medium, and program product. According to a first aspect of the application, a robot-based data processing method is provided, and the robot-based data processing method comprises the steps of obtaining identity index information of a client, executing identity association and attribute matching processing based on the identity index information to generate a client portrait data set, executing marketing interaction with the client based on the client portrait data set and pre-stored marketing strategy data, generating a business transaction judging signal based on interaction data generated in the marketing interaction, responding to the business transaction judging signal to be confirmed transaction, executing context data packaging processing according to the interaction data to obtain business pre-order data, and transmitting the business pre-order data to a server side for triggering the server side to construct a business transaction environment based on the business pre-order data. According to the embodiment of the application, the method for executing the marketing interaction with the client and generating the business handling judgment signal based on the interaction data generated in the marketing interaction comprises the steps of generating and outputting interaction content based on the client portrait data set and the pre-stored marketing strategy data, recording feedback data of the client to the interaction content to generate the interaction data, wherein the interaction data at least comprises a multi-round dialogue text sequence and a client operation behavior log, and generating the business handling judgment signal based on the interaction data. According to the embodiment of the application, the business pre-order data comprises the identity index information, a target product identifier and abstract information of the interaction data. According to the embodiment of the application, the method for obtaining the business pre-order data by performing context data encapsulation processing according to the interaction data comprises the steps of performing context extraction processing based on session identification according to the interaction data to obtain session