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In phBeyond Personalization Workshop, IUI, 2005."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.5555\/944919.944937"},{"key":"e_1_3_2_1_7_1","volume-title":"Context-aware collaborative topic regression with social matrix factorization for recommender systems. In phAAAI","author":"Chen C.","year":"2014","unstructured":"C. Chen , X. Zheng , Y. Wang , F. Hong , and Z. Lin . Context-aware collaborative topic regression with social matrix factorization for recommender systems. In phAAAI , 2014 . C. Chen, X. Zheng, Y. Wang, F. Hong, and Z. Lin. Context-aware collaborative topic regression with social matrix factorization for recommender systems. In phAAAI, 2014."},{"key":"e_1_3_2_1_8_1","volume-title":"Collaborative personalized tweet recommendation. In phSIGIR","author":"Chen K.","year":"2012","unstructured":"K. Chen , T. Chen , G. Zheng , O. Jin , E. Yao , and Y. Yu . Collaborative personalized tweet recommendation. In phSIGIR , 2012 . K. Chen, T. Chen, G. Zheng, O. Jin, E. Yao, and Y. Yu. Collaborative personalized tweet recommendation. In phSIGIR, 2012."},{"key":"e_1_3_2_1_9_1","volume-title":"phClick Models for Web Search. Synthesis Lectures on Information Concepts, Retrieval, and Services","author":"Chuklin A.","year":"2015","unstructured":"A. Chuklin , I. Markov , and M. de Rijke . phClick Models for Web Search. Synthesis Lectures on Information Concepts, Retrieval, and Services . Morgan & Claypool Publishers , August 2015 . A. Chuklin, I. Markov, and M. de Rijke. phClick Models for Web Search. Synthesis Lectures on Information Concepts, Retrieval, and Services. Morgan & Claypool Publishers, August 2015."},{"key":"e_1_3_2_1_10_1","volume-title":"Jointly modeling aspects, ratings and sentiments for movie recommendation (jmars). In phKDD","author":"Diao Q.","year":"2014","unstructured":"Q. Diao , M. Qiu , C.-Y. Wu , A. J. Smola , J. Jiang , and C. Wang . Jointly modeling aspects, ratings and sentiments for movie recommendation (jmars). 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Summarizing contrastive themes via hierarchical non-parametric processes. In phSIGIR , 2015 . Z. Ren and M. de Rijke. Summarizing contrastive themes via hierarchical non-parametric processes. In phSIGIR, 2015."},{"key":"e_1_3_2_1_31_1","volume-title":"Time-aware multi-viewpoint summarization of multilingual social text streams. In phCIKM","author":"Ren Z.","year":"2016","unstructured":"Z. Ren , O. Inel , L. Aroyo , and M. de Rijke . Time-aware multi-viewpoint summarization of multilingual social text streams. In phCIKM , 2016 . Z. Ren, O. Inel, L. Aroyo, and M. de Rijke. Time-aware multi-viewpoint summarization of multilingual social text streams. In phCIKM, 2016."},{"key":"e_1_3_2_1_32_1","volume-title":"Grouplens: an open architecture for collaborative filtering of netnews. In phCSCW","author":"Resnick P.","year":"1994","unstructured":"P. Resnick , N. Iacovou , M. Suchak , P. Bergstrom , and J. Riedl . Grouplens: an open architecture for collaborative filtering of netnews. 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