一种基于用户行为的多Agent信息推荐系统研究  

Research on Multi-Agent Information Recommendation System Based on User Behavior

作　　者：雷威[1] 张玉继 李文博[1] 

机构地区：[1]西安工程大学计算机科学与技术学院,陕西西安710048

出　　处：《软件导刊》2017年第9期167-169,共3页Software Guide

摘　　要：通过分析用户行为和Agent技术,提出基于用户行为的多Agent个性化信息推荐系统设计模型。对基于用户行为数据进行分析,整合用户的行为特性可以为用户带来更好的使用体验,多Agent技术能结合用户兴趣偏好信息及用户访问记录实现信息过滤并推理出用户的意图,从而提供个性化的推荐服务。The individualized demand of the user has become a trend. By analyzing the user behavior and Agent technology, the paper puts forward the design model of the multi-agent personalized information recommendation system based on user behavior. Based on the user behavior data analysis, the integration of the user＇s behavior can give users a better experience, multi-agent technology can be combined with user interest preferences and user access records to carry out information filtering to infer the user＇s intention to provide Personalized referral service. Multi-Agent technology is the core of this system to realize personalized information recommendation.

关 键 词：多AGENT技术 推荐系统 信息过滤 用户行为 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]