I am still working on the proceeding for the main conference but thought these might be of interest:
- Information market based recommender systems fusion
Efthimios Bothos, Konstantinos Christidis, Dimitris Apostolou, Gregoris Mentzas
Pages: 1-8
doi>10.1145/2039320.2039321 - A kernel-based approach to exploiting interaction-networks in heterogeneous information sources for improved recommender systems
Oluwasanmi Koyejo, Joydeep Ghosh
Pages: 9-16
doi>10.1145/2039320.2039322 - Learning multiple models for exploiting predictive heterogeneity in recommender systems
Clinton Jones, Joydeep Ghosh, Aayush Sharma
Pages: 17-24
doi>10.1145/2039320.2039323 - A generic semantic-based framework for cross-domain recommendation
Ignacio Fernández-Tobías, Iván Cantador, Marius Kaminskas, Francesco Ricci
Pages: 25-32
doi>10.1145/2039320.2039324 - Hybrid algorithms for recommending new items
Paolo Cremonesi, Roberto Turrin, Fabio Airoldi
Pages: 33-40
doi>10.1145/2039320.2039325 - Expert recommendation based on social drivers, social network analysis, and semantic data representation
Maryam Fazel-Zarandi, Hugh J. Devlin, Yun Huang, Noshir Contractor
Pages: 41-48
doi>10.1145/2039320.2039326 - Experience Discovery: hybrid recommendation of student activities using social network data
Robin Burke, Yong Zheng, Scott Riley
Pages: 49-52
doi>10.1145/2039320.2039327 - Personalizing tags: a folksonomy-like approach for recommending movies
Alan Said, Benjamin Kille, Ernesto W. De Luca, Sahin Albayrak
Pages: 53-56
doi>10.1145/2039320.2039328 - Personalized pricing recommender system: multi-stage epsilon-greedy approach
Toshihiro Kamishima, Shotaro Akaho
Pages: 57-64
doi>10.1145/2039320.2039329 - Matrix co-factorization for recommendation with rich side information and implicit feedback
Yi Fang, Luo Si
Pages: 65-69
doi>10.1145/2039320.2039330