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介绍用户兴趣模型、推荐系统以及协同过滤推荐技术、基于内容、基于人口统计、基于知识、基于效用、基于关联规则的推荐技术等主流推荐技术,并对六种推荐技术从应用角度进行深入比较研究,最终提出将协同过滤推荐技术、基于关联规则的推荐技术与基于效用的推荐技术综合运用的组合推荐技术的构思,认为应当构建以用户为中心、基于用户兴趣模型的推荐技术。
This paper introduces the main recommendation technologies such as user interest model, recommendation system and collaborative filtering recommendation technology, content-based, population-based, knowledge-based, utility-based, association rules-based recommendation technology and makes an in-depth comparative study of six recommendation technologies Finally, the author puts forward the conception of recombination technology of recommendation of collaborative filtering, recommendation based on association rules and recommendation of technology based on utility, and proposes that user-centered recommendation technique based on user interest model should be constructed.