GOODS RECOMMENDATION SYSTEM AND METHOD CONSIDERING PRICE OF GOODS

GOODS RECOMMENDATION SYSTEM AND METHOD CONSIDERING PRICE OF GOODS

PURPOSE: A product recommendation system and a recommendation method thereof, capable of selecting a recommendation product list according to the product preference of a customer are provided to maximize the profit of a seller based on a collaborative filtering algorithm. CONSTITUTION: A shopping ma...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: KIM, HYUN WOO, LEE, JA HO, OH, DONGH HWAN, ZHANG, BYOUNG TAK, KIM, KWON ILL, KIM, JU YOUNG, KIM, JI HYUN, SHIN, WON JIN
Format: Patent
Sprache:eng ; kor
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:PURPOSE: A product recommendation system and a recommendation method thereof, capable of selecting a recommendation product list according to the product preference of a customer are provided to maximize the profit of a seller based on a collaborative filtering algorithm. CONSTITUTION: A shopping mall web server(100) sells a product on a communication network. A database server stores product from the shopping mall web server. A cooperation filtering recommend unit generates an ordering matrix based on a purchase history of the customer. A recommendation point about each product is calculated by an algorithm based on the cooperative filtering. A price weighting arithmetic unit(400) calculates the price weight according to the price of each product. A recommendation product selection unit transmits the recommendation product to the shopping mall web server.