DocumentCode
244661
Title
An auxiliary recommendation system for repetitively purchasing items in E-commerce
Author
Yoon Kyoung Choi ; Sung Kwon Kim
Author_Institution
Smart Inf. Technol. Dept., Baewha Women´s Univ., Seoul, South Korea
fYear
2014
fDate
15-17 Jan. 2014
Firstpage
96
Lastpage
98
Abstract
In the recommendation system suitable for products showing repetitive purchase pattern, we can use the repeat count of purchase for each product per user as a recommendation criteria. We implemented a system that recommends Products by user-based Collaborative Filtering and item-based Collaborative Filtering method, and recommends Associate Products analyzed by Association Rules.
Keywords
collaborative filtering; data mining; electronic commerce; purchasing; recommender systems; E-commerce; associate products; association rules; auxiliary recommendation system; item-based collaborative filtering method; repetitive purchase pattern; repetitively purchasing items; user-based collaborative filtering; Algorithm design and analysis; Association rules; Collaboration; Educational institutions; Prediction algorithms; Recommender systems; Association Rules; Collaborative Filtering; E-Commerce; Recommendation System;
fLanguage
English
Publisher
ieee
Conference_Titel
Big Data and Smart Computing (BIGCOMP), 2014 International Conference on
Conference_Location
Bangkok
Type
conf
DOI
10.1109/BIGCOMP.2014.6741415
Filename
6741415
Link To Document