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ORCIDHetRec@RecSys 2011: Chicago, IL, USA
- Iván Cantador, Peter Brusilovsky, Tsvi Kuflik:
Proceedings of the 2nd International Workshop on Information Heterogeneity and Fusion in Recommender Systems, HetRec '11, Chicago, Illinois, USA, October 27, 2011. ACM 2011, ISBN 978-1-4503-1027-7 - Efthimios Bothos
, Konstantinos Christidis, Dimitris Apostolou, Gregoris Mentzas:
Information market based recommender systems fusion. 1-8 - Oluwasanmi Koyejo, Joydeep Ghosh:
A kernel-based approach to exploiting interaction-networks in heterogeneous information sources for improved recommender systems. 9-16 - Clinton Jones, Joydeep Ghosh, Aayush Sharma:
Learning multiple models for exploiting predictive heterogeneity in recommender systems. 17-24 - Ignacio Fernández-Tobías, Iván Cantador, Marius Kaminskas, Francesco Ricci:
A generic semantic-based framework for cross-domain recommendation. 25-32 - Paolo Cremonesi, Roberto Turrin, Fabio Airoldi:
Hybrid algorithms for recommending new items. 33-40 - Maryam Fazel-Zarandi, Hugh J. Devlin, Yun Huang, Noshir Contractor:
Expert recommendation based on social drivers, social network analysis, and semantic data representation. 41-48 - Robin Burke, Yong Zheng, Scott Riley:
Experience Discovery: hybrid recommendation of student activities using social network data. 49-52 - Alan Said, Benjamin Kille, Ernesto William De Luca, Sahin Albayrak:
Personalizing tags: a folksonomy-like approach for recommending movies. 53-56 - Toshihiro Kamishima, Shotaro Akaho:
Personalized pricing recommender system: multi-stage epsilon-greedy approach. 57-64 - Yi Fang, Luo Si:
Matrix co-factorization for recommendation with rich side information and implicit feedback. 65-69
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