An Auxiliary Recommendation System for Repetitively Purchasing Items in E-Commerce

被引：0
|
作者：
Choi, Yoon Kyoung [2 ]
Kim, Sung Kwon [1 ]
机构：
[1] Chung Ang Univ, Sch Comp Sci & Engn, Seoul 156756, South Korea
[2] Baewha Womens Univ, Smart Informat Technol Dept, Seoul, South Korea
来源：
2014 INTERNATIONAL CONFERENCE ON BIG DATA AND SMART COMPUTING (BIGCOMP) | 2014年
基金：
新加坡国家研究基金会;
关键词：
Recommendation System; Collaborative Filtering; E-Commerce; Association Rules;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：96 / +
页数：2
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