Merchandise recommendation method and device thereof using a machine learning algorithm

A merchandise recommendation method is implemented by a merchandise recommendation device and includes the following steps of (A) using a machine learning algorithm to establish a recommendation rule establishment model according to multiple training data respectively related to multiple customers;...

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Bibliographic Details
Main Author CHEN, YU-BANG
Format Patent
LanguageChinese
English
Published 01.10.2021
Subjects
CALCULATING
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Summary:A merchandise recommendation method is implemented by a merchandise recommendation device and includes the following steps of (A) using a machine learning algorithm to establish a recommendation rule establishment model according to multiple training data respectively related to multiple customers; (B) obtaining multiple recommendation rules according to the recommendation rule establishment model, wherein each of the recommendation rules includes a browsing condition and a recommended product category; (C) determining whether the browsing records of multiple recommended customers of the customer data to be recommended meet the browsing conditions of at least one of the recommendation rules; and (D) generating the recommendation information according to the recommended product category of the recommendation rules when determining that the browsing records of multiple recommended customers of the customer data to be recommended meet the browsing conditions of at least one of the recommendation rules. In additi
Bibliography:Application Number: TW20209110604