摘要
互联网的飞速发展和广泛应用,刺激了人们对推荐信息的需求。推荐系统的应运而生,减轻了信息过量对人们的威胁。目前,个性化已经成为一种发展趋势,而能使网站更具个性化的推荐系统也将逐渐成为一种必需的网上服务。本文提出了基于数量化I类理论的人工心理模型的建模方法,并介绍了该模型在个性化商品推荐系统中的应用。
The rapid development and widely application of internet, stimulate the individual＇ s requirement of information recommendation. Recommender systems which arising in this environment alleviate information overload facing individuals. In the meanwhile, as the oriental of personalization is highly praised, recommendation systems have emerged as a kind of e-service and will become a required service. We propose a modeling method of artificial psychology which based on Quantification Theory I and introduce how to apply it in recommender system in this paper.
出处
《微计算机信息》
北大核心
2006年第01Z期198-200,共3页
Control & Automation
基金
国家自然科学基金资助项目(60573059)
北京市"现代信息科学与网络技术"重点实验室开放基金(TDXX0503)
关键词
人工智能
推荐系统
数量化
人工心理
个性化
artificial intemgence
recommender system
Quantification Theory I
artificial psychology
personalization
