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CN-121981760-A - Intelligent identification management method and system for cross-channel member rights and interests

CN121981760ACN 121981760 ACN121981760 ACN 121981760ACN-121981760-A

Abstract

The application provides an intelligent recognition management method and system for cross-channel member interests, and belongs to the technical field of member interests management. The method comprises the steps of firstly constructing a standardized global data lake, accessing multi-source heterogeneous data and carrying out standardized processing to form a unified data model, then constructing a multi-dimension member portrait to accurately identify and dynamically match cross-channel rights and interests, then establishing an event-driven rights and interests linkage mechanism to realize real-time coordination of rights and interests and cross-channel key behaviors of members, generating a personalized operation strategy by combining the member portrait and rights and interests life cycle states, pushing through a multi-channel access mechanism, and finally constructing a global verification and wind control system to realize rights and interests safety control and audit closed loops. The corresponding system comprises a functional module such as global data integration and intelligent rights and interests recognition. The application realizes the integrated and intelligent management of entertainment business cross-channel member rights and interests, improves the accuracy and high efficiency of rights and interests management, and simultaneously has cross-system expansion capability and data full life cycle management and control capability.

Inventors

  • YANG GUANG

Assignees

  • 广州油菜花信息科技有限公司

Dates

Publication Date
20260505
Application Date
20260408

Claims (10)

  1. 1. The intelligent identifying and managing method for cross-channel member rights and interests is characterized by comprising the following steps: Constructing a standardized global data lake, uniformly accessing multi-source heterogeneous data of each hardware terminal, service modules and external channels in an entertainment industry state, and performing standardized processing to form a uniform data model; building a member equity intelligent recognition engine based on the unified data model, building a multi-dimensional member portrait, and completing accurate recognition and dynamic matching of member cross-channel equity; Establishing an event-driven equity linkage mechanism, defining the key behaviors of the members across channels as standardized events, and automatically triggering the associated adjustment, verification, upgrading or reimbursement operation of the rights of the members across channels to obtain real-time cooperative results of the rights of the members across channels and the key behaviors of the members across channels; According to the multidimensional member portraits and the member rights life cycle states, automatically generating an adaptive personalized rights operation strategy, and pushing the personalized rights operation strategy to a member terminal through a multi-channel access mechanism to obtain an execution result; and constructing a global verification and wind control system for cross-channel rights management, performing real-time data verification on the whole process of acquiring, using and verifying the cross-channel rights of the member, and identifying abnormal rights operation behaviors through an AI wind control algorithm to realize rights safety management and audit closed loop.
  2. 2. The intelligent recognition management method of cross-channel member rights and interests according to claim 1, wherein the construction of a standardized global data lake, unified access to multi-source heterogeneous data of each hardware terminal, service module and external channel in entertainment business state, and standardized processing, forms a unified data model, specifically: uniformly accessing multi-source heterogeneous data of each hardware terminal, service module and external channel in entertainment business state; Sequentially performing data cleaning, format unification, field mapping and topic classification processing on the multi-source heterogeneous data according to the data attributes to obtain classified membership topic, equity topic, transaction topic and scene topic data; and constructing the unified data model according to the classified various data.
  3. 3. The intelligent recognition management method of cross-channel member interests according to claim 1, wherein the building of the intelligent recognition engine of member interests based on the unified data model builds a multidimensional member portrait to complete the accurate recognition and dynamic matching of member cross-channel interests comprises the following steps: Extracting basic attributes, cross-channel consumption behavior characteristics, equity use preference characteristics and life cycle value characteristics of members according to the global data in the unified data model to obtain a multidimensional characteristic set; completing hierarchical construction and dynamic update of the multi-dimensional member portraits according to the multi-dimensional feature set; And finishing the accurate identification and dynamic matching of the cross-channel rights and interests of the member based on the updated member representation.
  4. 4. The intelligent recognition management method of cross-channel member interests according to claim 1, wherein the establishing an event-driven interest linkage mechanism defines the key behaviors of members across channels as standardized events and automatically triggers the associated adjustment, verification, upgrading or reimbursement operations of the members across channel interests, specifically: Screening out rights acquisition, rights verification and marketing, cross-business consumption, member grade change and equipment interaction behaviors as key behaviors according to the cross-channel behavior types of members; Setting a unique event identifier for each key behavior, and carrying out standardized processing on each key behavior according to the identifier to obtain a standardized event; And automatically triggering the associated adjustment, verification, upgrading or reimbursement operation of the cross-channel rights and interests of the member based on the standardized event.
  5. 5. The intelligent recognition management method of cross-channel member interests of claim 1, wherein the member interests lifecycle status comprises: according to the operation data and the aging data of the cross-channel rights of the members, defining the judgment dimension of the state of overdue and falling asleep when the members are activated, in use and are to be verified; Real-time monitoring is carried out on the rights and interests data of the universe based on the AI intelligent engine, so that state judgment results of rights and interests of each member are obtained; And finishing dynamic judgment and synchronous updating of the life cycle states of the member rights and interests according to the state judgment results.
  6. 6. The intelligent recognition management method of cross-channel member interests of claim 5 wherein the multi-channel reach mechanism comprises: According to the requirements of the contact scenes of the rights and interests of the members, selecting applets, public numbers, short messages, off-line hardware terminals and electronic commerce platforms as contact channels, and establishing data interaction links of the contact channels and the unified data model; And realizing the real-time data intercommunication between each touch channel and the unified data model according to the data interaction link, and completing the cross-channel pushing of the personalized equity operation strategy based on the intercommunicated data.
  7. 7. The intelligent recognition management method of cross-channel member interests according to claim 1, wherein the construction of a global verification and wind control system for cross-channel interests management performs real-time data verification on the whole flow of acquisition, use and verification of the cross-channel interests of the members, and comprises the following steps: presetting rights and interests verifying authority, cross-channel rights and interests mutual exclusion, rights and interests using times and member identity consistency verifying rules according to the operation flow of the members cross-channel rights and interests, and obtaining a standardized rights and interests operation verifying rule set; And carrying out real-time data verification on the whole flow of acquisition, use and verification of cross-channel rights and interests of members based on the rule set.
  8. 8. The intelligent recognition management method of cross-channel member interests of claim 1, wherein the recognition of abnormal interests operation behavior by AI wind control algorithm comprises: Extracting rights and interests operation behavior characteristics and completing abnormal behavior modeling according to the whole-flow operation data of the rights and interests of the members across channels to obtain an AI wind control identification model; And identifying abnormal rights and interests operation behaviors obtained by repeatedly verifying and false identity rights and interests across channels based on the model.
  9. 9. An intelligent recognition management system for cross-channel member rights and interests, comprising: the universal data integration module is used for uniformly accessing multi-source heterogeneous data of each hardware terminal, each business module and each external channel in an entertainment industry state, constructing a standardized universal data lake after standardized processing, and forming a uniform data model; the rights and interests intelligent recognition module is used for constructing a member rights and interests intelligent recognition engine based on the unified data model and is used for constructing a multi-dimensional member portrait to finish the accurate recognition and dynamic matching of the cross-channel rights and interests of members; The event-driven linkage module is used for defining the key behaviors of the members across channels as standardized events, automatically triggering the associated adjustment, verification, upgrading or reimbursement operations of the rights and interests of the members across channels, and realizing the real-time coordination of the key behaviors of the rights and interests and the interests; the rights and interests intelligent operation module is used for automatically generating personalized rights and interests operation strategies by combining multidimensional member portrait and member rights and interests life cycle states and pushing the strategies to the member terminals through a multichannel access mechanism; The global wind control verification module is used for constructing a global verification and wind control system for cross-channel rights management, carrying out real-time data verification on the member cross-channel rights whole flow, identifying abnormal rights operation behaviors through an AI wind control algorithm, and realizing rights safety management and control and audit closed loop.
  10. 10. The intelligent identifying and managing system for cross-channel member interests is characterized by further comprising a memory and a processor, wherein the memory comprises a program of an intelligent identifying and managing method for cross-channel member interests, and the program of the intelligent identifying and managing method for cross-channel member interests is executed by the processor to realize the following steps: Constructing a standardized global data lake, uniformly accessing multi-source heterogeneous data of each hardware terminal, service modules and external channels in an entertainment industry state, and performing standardized processing to form a uniform data model; building a member equity intelligent recognition engine based on the unified data model, building a multi-dimensional member portrait, and completing accurate recognition and dynamic matching of member cross-channel equity; Establishing an event-driven equity linkage mechanism, defining the key behaviors of the members across channels as standardized events, and automatically triggering the associated adjustment, verification, upgrading or reimbursement operation of the rights of the members across channels to obtain real-time cooperative results of the rights of the members across channels and the key behaviors of the members across channels; According to the multidimensional member portraits and the member rights life cycle states, automatically generating an adaptive personalized rights operation strategy, and pushing the personalized rights operation strategy to a member terminal through a multi-channel access mechanism to obtain an execution result; and constructing a global verification and wind control system for cross-channel rights management, performing real-time data verification on the whole process of acquiring, using and verifying the cross-channel rights of the member, and identifying abnormal rights operation behaviors through an AI wind control algorithm to realize rights safety management and audit closed loop.

Description

Intelligent identification management method and system for cross-channel member rights and interests Technical Field The application relates to the technical field of member equity management, in particular to an intelligent identifying and managing method and system for cross-channel member equity. Background In the current entertainment business state member rights management field, various digital systems are mostly in a chimney type construction characteristic, and business modules such as member CRM, POS cashing, equipment control and the like independently operate, so that multi-source heterogeneous data cannot be communicated, and an information island is formed. The method has the advantages that in the existing mode, accurate identification and unified matching of cross-channel rights and interests of members are difficult to realize due to the fact that the cross-channel behavior data and the rights and interests data are split, the member rights and interests are adjusted by manual operation, real-time linkage with cross-channel key behaviors of the members is not possible, the rights and interests operation efficiency is low, dynamic monitoring means are absent in the life cycle state of the member rights and interests, accurate data support is absent in the operation strategy formulation, and meanwhile, the whole flow of cross-channel rights and interests acquisition, use and verification lacks a unified verification and wind control system, abnormal operation behaviors such as cattle rights and interests theft and brushing are easy to occur, and rights and interests safety is difficult to guarantee. In addition, the traditional management system does not build a standardized data interaction and expansion system, cannot realize rights and interests collaborative management with an external system, also lacks monitoring and intelligent early warning capability of the whole life cycle of data assets, and is difficult to meet the requirements of entertainment business cross-channel, integrated and intelligent member rights and interests management, and a set of cross-channel member rights intelligent identification management scheme capable of realizing data integration, intelligent identification, linkage operation and global wind control is needed in industry. Disclosure of Invention The invention discloses an intelligent recognition management method and system for cross-channel member interests in entertainment business states, wherein the method level firstly uniformly accesses multi-source heterogeneous data, establishes a global data lake and a uniform data model through standardized processing, establishes an intelligent recognition engine for interests based on the model, extracts multi-dimensional characteristics of members, establishes and dynamically updates member images, and completes accurate recognition and dynamic matching of the cross-channel interests; the method comprises the steps of screening member cross-channel key behaviors, standardizing the member cross-channel key behaviors into events, establishing an event-driven equity linkage mechanism, automatically triggering operations such as equity adjustment, equity verification and the like, realizing real-time coordination of equity and member behaviors, dynamically judging and updating equity full life cycle states based on an AI intelligent engine, combining equity operation and ageing data, generating personalized operation strategies by combining member portraits, completing strategy pushing through a multi-channel touch mechanism, simultaneously constructing a global verification and wind control system, presetting standardized verification rules to verify equity full flow in real time, extracting operation characteristics through the AI wind control algorithm, establishing an identification model, accurately identifying various abnormal equity operation behaviors, and realizing equity safety management and audit closed loop. The corresponding system is provided with a global data integration, rights and interests intelligent identification, event-driven linkage, rights and interests intelligent operation and global wind control verification core module, each technical step of the method is respectively landed, a related program can be operated through a memory and a processor, a data asset monitoring system is constructed, layered visual rendering is realized, an intelligent early warning analysis model is built, and a grading treatment strategy is matched, so that a data monitoring closed loop is formed, the integrated and intelligent whole-flow management of the rights and interests of cross-channel members is realized through the whole scheme, the problems of data splitting, low operation efficiency, wind control loss and the like in the traditional management mode are solved, the method has good technical expansibility, and the requirements of cross-system rights and interests collaborative management are adapted