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混合K最近邻模型与隐语义模型的推荐算法 被引量:2

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摘要 协同过滤推荐算法是目前应用最成功的推荐技术,利用指定用户的相似用户对某一物品的评价,形成对该指定用户对此物品的评价预测。两种主流的协同过滤推荐算法分别是分析用户或者物品相似度的近邻关系模型,以及揭示用户与物品隐含特征信息的隐语义模型。提出了以K-最近邻模型为修正项对隐语义模型进行扩展,使这两种模型有效的结合,从而构建出推荐精度更高的混合模型。实验表明,该混合算法能够获得更好的推荐效果。
出处 《信息系统工程》 2015年第3期129-130,132,共3页
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  • 1D Bawden,L Robinson.The dark side of information: overload, anxiety and other paradoxes and pathologies [J].Journal of Information Science,2009,35(2):180- 191.
  • 2G Adomavicius,A Tuzhilin. Toward the next generation of recommender systems:a survey of the state-of-the-art and possible extensions [J].IEEE Transactions on Knowledge and Data Engineering,2005,17(06):734 - 749.
  • 3D.Goldberg,D.Nicbols, B.M.Oki and D.Terry.Using Collaborative Filtering Recommendations [C].Communications of ACM, 1992,35:61 - 70.
  • 4P.Resnick,N Iacovou,M Suchak,et al.Grouplens:an open architecture for collaborative filtering of Nemews [C]//Proc of ACM 1994 Conference on Computer Supported Cooperative Work.Chapel Hi11:ACM Press,1994:175-186.
  • 5Y Koren.Factorization Meets the Neighborhood:a Multifaceted Collaborative Filtering Model [C]//Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. [s.1.]:ACM,2008:426-434.
  • 6B Sarwar,G Karypis,J Konstan,J Reidl. Item-based collaborative filtering recommendation algorithms [C]//Proceedings of the 10th International Conference on World Wide Web.Hong Kong, China,2001:285-295.
  • 7A Paterek.Improving regularized singular value decomposition for collaborative filtering [C]//KDD Cup Workshop at Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.California,2007:39- 42.
  • 8Y Koren,R Bell,C Volinsky.Matrix factorization techniques for recommender systems [J].Computer,2009,42(8):30-37.
  • 9S T Dumais.Latent semantic analysis [J].Annual Review of Information Science and Technology,2004,38(1):188-230.
  • 10R.Bell,Y.Koren,C.Volinsky,Modeling Relationships at Multiple Scales to Improve Accuracy of Large Recommender Systems [C],Proc.13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining,2007.

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