电子商务推荐系统研究  

An Exploration of the Recommender Systems in E-Commerce

作　　者：黎星星[1] 黄小琴[1] 朱庆生[1] 

机构地区：[1]重庆大学计算机学院,重庆400044

出　　处：《计算机工程与科学》2004年第5期7-10,共4页Computer Engineering & Science

摘　　要：目前 ,电子商务网站之间的竞争日益加剧 ,赢得这场竞争的关键之一是如何更好地了解用户需求以提供更令人满意的服务 ,于是以AI领域的agent技术为依托 ,电子商务推荐系统就逐步发展起来。本文首先介绍推荐系统的表现形式 ,然后分类研究各种主流推荐技术 ,并在此基础上深入分析和比较这几种推荐技术的异同及其应用范围 。E-Commerce companies compete each other nowadays, and one key to winning the competition is to get knowledge about customers' consuming preferences so as to establish better adequate personalized services to satisfy the customers. On this background, recommender systems gradually develops, supported by the agent technologies derived from Artificial Intelligence. The technologies to educe recommendation and their modes of representation are explored in this paper, afterwards similarities and differences among mainstream recommendation technologies and their application ranges are analyzed. At last, a hybrid recommender system technology is deeply investigated.

关 键 词：电子商务 AGENT技术 推荐系统 大规模定制 协作过滤推荐 人口统计信息 “装料”问题 混合推荐系统 

分 类 号：TP311.5[自动化与计算机技术—计算机软件与理论]