基于智能体的电子商务协作推荐系统  

E-commerce Collaborative Recommendation System Based on Agent

作　　者：何波[1] 陈媛[1] 王华秋[1] 董世都[1] 

机构地区：[1]重庆工学院计算机科学与工程学院,重庆400050

出　　处：《计算机工程》2007年第9期216-218,共3页Computer Engineering

基　　金：重庆市科委科技攻关基金资助项目(CSTC.2004AA2001-8277-9);重庆工学院青年基金资助项目

摘　　要：传统的协作筛方法存在的主要问题是需要人为地提供评价,该文对其进行了改进,根据用户事务模式自动获取用户评价,构建评价矩阵。针对现有个性化信息推荐系统存在的问题,将Agent应用到电子商务个性化信息推荐,引入设计的协作筛方法,设计了基于Agent的电子商务协作推荐系统(ECCRS)。ECCRS是基于服务器端的电子商务协作推荐系统,它考虑了用户访问页面的时间特性,不需要用户注册,在推荐时考虑了页面的新颖性,同时实现了离线处理、增量更新与在线推荐的结合。实验结果表明,ECCRS采用的推荐方法是有效的。The paper improves the traditional collaborative filtering method which needs artificial evaluation. The advanced method can gain evaluation value automatically through user transaction pattern and establish evaluation matrix. Aiming at problems of current personalized information recommendation systems, this paper applies Agent and designs collaborative filtering method to E-commerce personalized information recommendation, and designed E-commerce collaborative recommendation system based on Agent, namely, ECCRS, which is based on server. ECCRS considers time of page calling and novelty of page. It can supply recommendation service for unregister users and combined off-line processing, incremental updating and on-line recommendation. The experimental results indicate that the recommendation method of ECCRS is feasible.

关 键 词：电子商务 智能体 协作推荐 个性化主动信息服务 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]