METHOD FOR RECOMMENDING COMMODITIES OF E-COMMERCE SYSTEM

摘要

PURPOSE: A method for recommending commodities of an e-commerce system is provided to analyze a taste and a mental state of a current purchaser based on an on-line survey, a profile of the purchaser, biological rhythm, etc., so as to recommend a commodity appropriate for the purchaser on the basis of an analyzed result. CONSTITUTION: A purchaser inputs his/her profile(S101). A Web server provides services such as 'today's lot' or biological rhythm(S102). A use of a commodity to purchase is confirmed(S103). If the purchaser selects an item for purchaser himself/herself, a mental state or a taste of the purchaser are analyzed on the basis of answers for survey provided at his/her area of a survey DB(101)(S104). If the purchaser selects an item for gift, a gift use and a profile of a person to receive the gift are inputted, and survey provided at an area for others of the survey DB(101) are answered(S105-S107). The Web server analyzes a result of the answered survey to analyze a mental state or a taste of the person to receive the gift(S108). Some commodities appropriate for the analyzed result are selected among commodities registered in a commodity DB(102) and recommended(S109,S110).