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

页码：96 / +

页数：2

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