Merchandise recommendation system and method for multiple users

Merchandise recommendation system and method for multiple users

The invention discloses a merchandise recommendation method and a system for multiple users. The merchandise recommendation method for multiple users is used in the merchandise recommendation system including a user database, a merchandise database, a data transmission module, a processing module an...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: CHEN HSIUAN, LIN GRACE, LIN TING-YU, WU YI-HSIN, SHIH MENG-JUNG, CHAN YA-HUI
Format: Patent
Sprache:eng
Schlagworte:
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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Beschreibung
Zusammenfassung:The invention discloses a merchandise recommendation method and a system for multiple users. The merchandise recommendation method for multiple users is used in the merchandise recommendation system including a user database, a merchandise database, a data transmission module, a processing module and a memory. The merchandise recommendation method includes the steps outlined below. The processing module receives participant information and target merchandise information from a remote originator host. The processing module retrieves corresponding user information from the user database according to the participant information. The processing module retrieves corresponding merchandise information from the merchandise database according to the target merchandise information. The processing module analyzes social influence information and preference information included in the user information and analyzes the merchandise information to generate an analysis result. The processing module generates composite merchandise recommendation information according to the analysis result.