Recsys 2016 Paper Session 2 Asynchronous Distributed Matrix Factorization

Summary

Bikash Joshi, Franck Iutzeler, Massih-Reza Amini doi.org/10.1145/2959100.2959161 We introduce an Dawen Liang, Jaan Altosaar, Laurent Charlin, David M. Blei doi.org/10.1145/2959100.2959182 Yuchin Juan, Yong Zhuang, Wei-Sheng Chin, Chih-Jen Lin doi.org/10.1145/2959100.2959134 -through rate (CTR) ... Donghyun Kim, Chanyoung Park, Jinoh Oh, Sungyoung Lee, Hwanjo Yu doi.org/10.1145/2959100.2959165 Sparseness of ... Sujoy Roy, Sharath Chandra Guntuku doi.org/10.1145/2959100.2959172 Recommending items that have rarely/never ... Evangelia Christakopoulou, George Karypis doi.org/10.1145/2959100.2959185 Item-based approaches based on SLIM ... Saikishore Kalloori, Francesco Ricci, Marko Tkalcic doi.org/10.1145/2959100.2959142 Many recommendation techniques ... Panagiotis Symeonidis doi.org/10.1145/2959100.2959195 This tutorial offers a rich blend of theory and practice regarding ... Xuezhi Cao, Yong Yu doi.org/10.1145/2959100.2959155 An accurate and comprehensive user modeling technique is ... Cataldo Musto, Fedelucio Narducci, Pasquale Lops, Marco De Gemmis, Giovanni Semeraro ... Asmaa Elbadrawy, George Karypis doi.org/10.1145/2959100.2959133 Automated course recommendation can help ... Werner Geyer and Shilad Sen dl.acm.org/citation.cfm?id=3057279.