Commodity recommendation method and system, storage medium and terminal

• Main Author: LIANG TIANKAI
• Format: Patent
• Language: Chinese; English
• Published: 21.01.2022
• Subjects: CALCULATING; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention provides a commodity recommendation method and system, a storage medium and a terminal, and belongs to the technical field of personalized recommendation systems and association rule analysis. The commodity recommendation method based on FP-Growth federal association analysis comprises the steps of user purchase record data acquisition and storage, data preprocessing, FP-Growth-based data federal association analysis and commodity personalized recommendation. According to the method, the FP-Growth algorithm and the federated learning thought are fused, the problem of data imbalance between the regions can be solved, and computing resources of all the regions and knowledge obtained through learning are effectively integrated. According to the scheme, the requirement for computing resources of the learning participants can be effectively reduced, meanwhile, the learning participants are not required to inform the centralized learning device of data, and the association rule analysis efficiency and