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Volume 38 Issue 6
Jun.  2012
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Journal of Beijing University of Aeronautics and Astronautics  > 2012  >  38(6): 823-828.
Hu Biyun, Li Zhoujun, Wang Jun, et al. Effect of rating residual on recommendation quality[J]. Journal of Beijing University of Aeronautics and Astronautics, 2012, 38(6): 823-828. (in Chinese)
Citation: Hu Biyun, Li Zhoujun, Wang Jun, et al. Effect of rating residual on recommendation quality[J]. Journal of Beijing University of Aeronautics and Astronautics, 2012, 38(6): 823-828. (in Chinese)
shu

Effect of rating residual on recommendation quality

  • 1.

    State Key Laboratory of Software Development Environment, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

  • 2. School of Computer Science and Technology, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

  • 3. Key Laboratory of Network Technology of Beijing, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

  • Received Date: 18 Mar 2011
  • Publish Date: 30 Jun 2012
    Abstract
  • The effect of the rating residual on recommendation quality was analyzed. The rating residual was measured through user ratings and latent preferences. Latent preferences were computed with psychometric models. With different levels of rating residual, the effect of the rating residual was experimentally evaluated on real world datasets. Theoretical analysis and experimental results show that rating residual has negative effects on recommendation accuracy and coverage. Based on high quality of data, collaborative filtering algorithms can make precise recommendations for users.

     

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    • References(15)
  • [1]
    Gediminas A,Alexander T.Toward the next generation of recommender systems:a survey of the state-of-the-art and possible extensions[J].IEEE Trans on Knowledge and Data Engineering(TKDE),2005,17(6):734-749
    [2]
    Badrul S,George K,Joseph K,et al.Item-based collaborative filtering recommendation algorithms //Proc of 10th International World Wide Web Conference(WWW-01).New York:ACM Press,2001:285-295
    [3]
    O-Mahony M P,Hurley N J,Silvestre G C M.Detecting noise in recommender system databases //Proc of the 10th International Conference on Intelligent User Interfaces(IUI -06).New York:ACM Press,2006:109-115
    [4]
    Cao Huanhuan,Chen Enhong,Yang Jie,et al.Enhancing recommender systems under volatile user interest drifts //Proc of the 18th ACM Conference on Information and Knowledge Management (CIKM-09).New York:ACM Press,2009:1257-1266
    [5]
    Xavier A,Neal L,Pujol J M,et al.The wisdom of the few:a collaborative filtering approach based on expert opinions from the web //Proc of the 32nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR-09).New York:ACM Press,2009:532-539
    [6]
    Herlocker J L,Konstan J A,Terveen L G,et al.Evaluating collaborative filtering recommender systems[J].Transactions on Information Systems (TOIS),2004,22(1):5-53
    [7]
    Wang Jun,de Vries A P,Reinders M J T.Unifying user-based and item-based collaborative filtering approaches by similarity fusion //Proc of the 29th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR-06).New York:ACM Press,2006:501-508
    [8]
    杜文久.高等项目反应理论[M].重庆:西南师范大学出版社,2007:71-88 Du Wenjiu.Advanced item response theory[M].Chongqing:Southwest Normal University Press,2007:71-88(in Chinese)
    [9]
    Cheng Yunghsiang.Exploring passenger anxiety associated with train travel[J].Transportation,2010,37(6):875-896
    [10]
    David Andrich.A rating formulation for ordered response categories[J].Psychometrikia,1978,43(4):561-573
    [11]
    Hu Biyun,Li Zhoujun,Wang Jun.User-s latent interest-based collaborative filtering //Proc 32nd European Conference on Information Retrieval(ECIR-10).Berlin:Springer-Verlag,2010:619-622
    [12]
    Hu Biyun,Li Zhoujun,Chao Wenhan,et al.User preference representation based on psychometric models //Proc 22nd Australia Database Conference (ADC-11).Sydney:ACS,2011:57-64
    [13]
    Linacre Mike.WINSTEPS Rasch measurement computer program.Chicago:Winsteps.com,2007.http://www.winsteps.com
    [14]
    Linacre Mike.PROX for polytomous data[J].Rasch Measurement Transactions,1995,8(4):400
    [15]
    Wright B D,Masters G N.Rating scale analysis[M].Chicago:MESA Press,1982:100
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