基于个性化情境的Multi-Agent信息推荐研究  

Research on Multi-Agent Information Recommendation Based on Personalized Context

作　　者：周朴雄[1] 薛玮炜 赵龙文[1] 

机构地区：[1]华南理工大学经济与贸易学院,广州510006

出　　处：《情报杂志》2015年第5期180-184,共5页Journal of Intelligence

基　　金：国家社会科学基金项目"基于关联数据的政府数据开放研究"(编号:14BTQ009)

摘　　要：移动互联网时代,用户的个性化信息需求具有极强的情境敏感性。针对目前个性化信息服务主动性和准确性低的现状,构建移动互联网环境下的情境树,提出融入个性化情境因素的Multi-Agent信息推荐模型,通过情境获取Agent、个性化情境分析Agent、个性化匹配Agent以及信息推荐Agent的协同工作,主动为用户提供更加精准的信息服务。In the era of mobile Internet, users＇ personalized information needs are highly context-sensitive. To improve the currently low degree of initiative and accuracy in personalized information recommendation service, this paper established a tree of context, put forward a Multi-Agent information recommendation model integrating personalized context, by means of the cooperation of four Agents such as context-obtaining Agent, personalized context-analyzing Agent, personalized context-matching Agent and information-recommending A- gent, a more accurate information service can be provided to users actively.

关 键 词：移动互联网 个性化情境 MULTI-AGENT 信息推荐 

分 类 号：C289[社会学]