An Optimization Method for Recommendation System Based on User Implicit Behavior
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Chen Li | Meng Chen | Peng Yi | Cheng Yang
[1] Roliana Ibrahim,et al. Incorporating Users Satisfaction to Resolve Sparsity in Recommendation Systems , 2014, SoMeT.
[2] Barry Smyth,et al. Sparsity Reduction in Collaborative Recommendation: A Case-Based Approach , 2003, Int. J. Pattern Recognit. Artif. Intell..
[3] T. Adilakshmi,et al. Music recommendation system based on matrix factorization technique -SVD , 2014, 2014 International Conference on Computer Communication and Informatics.
[4] Biswanath Mukherjee,et al. A Survey of User Behavior in VoD Service and Bandwidth-Saving Multicast Streaming Schemes , 2012, IEEE Communications Surveys & Tutorials.
[5] Hsinchun Chen,et al. Applying associative retrieval techniques to alleviate the sparsity problem in collaborative filtering , 2004, TOIS.
[6] Xiong Zhong-yang. Collaborative filtering algorithm based on two-step filling for alleviating data sparsity , 2013 .
[7] David Heckerman,et al. Empirical Analysis of Predictive Algorithms for Collaborative Filtering , 1998, UAI.
[8] Dimitris Plexousakis,et al. Alleviating the Sparsity Problem of Collaborative Filtering Using Trust Inferences , 2005, iTrust.
[9] Yipeng Zhou,et al. Video Browsing - A Study of User Behavior in Online VoD Services , 2013, 2013 22nd International Conference on Computer Communication and Networks (ICCCN).
[10] Daniel Lemire,et al. Slope One Predictors for Online Rating-Based Collaborative Filtering , 2007, SDM.
[11] Fei Deng,et al. International Journal of C 2009 Institute for Scientific Information and Systems Sciences Computing and Information Recent Advances in Personal Recommender Systems , 2022 .