Abstract is missing.
- Information market based recommender systems fusionEfthimios Bothos, Konstantinos Christidis, Dimitris Apostolou, Gregoris Mentzas. 1-8 [doi]
- A kernel-based approach to exploiting interaction-networks in heterogeneous information sources for improved recommender systemsOluwasanmi Koyejo, Joydeep Ghosh. 9-16 [doi]
- Learning multiple models for exploiting predictive heterogeneity in recommender systemsClinton Jones, Joydeep Ghosh, Aayush Sharma. 17-24 [doi]
- A generic semantic-based framework for cross-domain recommendationIgnacio Fernández-Tobías, Iván Cantador, Marius Kaminskas, Francesco Ricci 0001. 25-32 [doi]
- Hybrid algorithms for recommending new itemsPaolo Cremonesi, Roberto Turrin, Fabio Airoldi. 33-40 [doi]
- Expert recommendation based on social drivers, social network analysis, and semantic data representationMaryam Fazel-Zarandi, Hugh J. Devlin, Yun Huang 0001, Noshir Contractor. 41-48 [doi]
- Experience Discovery: hybrid recommendation of student activities using social network dataRobin Burke, Yong Zheng, Scott Riley. 49-52 [doi]
- Personalizing tags: a folksonomy-like approach for recommending moviesAlan Said, Benjamin Kille, Ernesto William De Luca, Sahin Albayrak. 53-56 [doi]
- Personalized pricing recommender system: multi-stage epsilon-greedy approachToshihiro Kamishima, Shotaro Akaho. 57-64 [doi]
- Matrix co-factorization for recommendation with rich side information and implicit feedbackYi Fang, Luo Si. 65-69 [doi]