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数据挖掘中的推荐算法综述 被引量:6

Survey of Recommender Algorithms in Data Mining
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摘要 推荐算法是推荐系统的核心,近年来,推荐系统受到了研究人员和学术界的关注,到目前,研究人员提出了很多推荐算法。该文侧重讨论现有的推荐算法及其性能,并在此基础上,进一步提出了未来的研究方向。 The recommender algorithm is the major part of the recommender system.In recent years,researchers and academics have paid more attention to the recommender system and proposed a lot of recommendation algorithm.This paper focuses on discussion of the exist ing recommendation algorithm and its performance,and on this basis,the future research directions.
作者 耿鑫 刘晋佩 GENG Xin,LIU Jin-pei(1.Department of Computer Science and Technology,Tongji University,Shanghai 201804,China;2.Department of Automation,Xiamen University,Xiamen 363105,China)
出处 《电脑知识与技术》 2012年第7期4691-4696,共6页 Computer Knowledge and Technology
基金 国家自然科学基金(60972036)
关键词 数据挖掘 推荐系统 协同过滤 data mining recommender system collaberative filtering
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