Temporal dynamics of changes in group user's preferences in recommender systems
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[1] B. Achiriloaie,et al. VI REFERENCES , 1961 .
[2] Jorge García Duque,et al. An improvement for semantics-based recommender systems grounded on attaching temporal information to ontologies and user profiles , 2011, Eng. Appl. Artif. Intell..
[3] Maria E. Orlowska,et al. Recency-based collaborative filtering , 2006, ADC.
[4] Gediminas Adomavicius,et al. Incorporating contextual information in recommender systems using a multidimensional approach , 2005, TOIS.
[5] Jian Zhu,et al. Item-Based Collaborative Filtering Recommendation Algorithm Combining Item Category with Interestingness Measure , 2012, 2012 International Conference on Computer Science and Service System.
[6] Dzenana Donko,et al. An approach to design of time-aware recommender system based on changes in group user's preferences , 2014, 2014 X International Symposium on Telecommunications (BIHTEL).
[7] Yongmoo Suh,et al. A new similarity function for selecting neighbors for each target item in collaborative filtering , 2013, Knowl. Based Syst..
[8] Hui Xiong,et al. Enhancing recommender systems under volatile userinterest drifts , 2009, CIKM.
[9] Yehuda Koren,et al. Collaborative filtering with temporal dynamics , 2009, KDD.
[10] John Riedl,et al. An Algorithmic Framework for Performing Collaborative Filtering , 1999, SIGIR Forum.
[11] Linas Baltrunas,et al. Towards Time-Dependant Recommendation based on Implicit Feedback , 2009 .
[12] Fabio A. González,et al. Performance of Recommendation Systems in Dynamic Streaming Environments , 2007, SDM.
[13] Juan C. Burguillo,et al. A hybrid content-based and item-based collaborative filtering approach to recommend TV programs enhanced with singular value decomposition , 2010, Inf. Sci..
[14] Yuzhao Liu,et al. A Collaborative Filtering Algorithm Based on Time Period Partition , 2010, 2010 Third International Symposium on Intelligent Information Technology and Security Informatics.