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ORCIDRecSys 2014: Foster City, Silicon Valley, CA, USA - Posters
- Li Chen, Jalal Mahmud:
Poster Proceedings of the 8th ACM Conference on Recommender Systems, RecSys 2014, Foster City, Silicon Valley, CA, USA, October 6-10, 2014. CEUR Workshop Proceedings 1247, CEUR-WS.org 2014 - Donghyuk Shin, Suleyman Cetintas, Kuang-Chih Lee:
Recommending Tumblr Blogs to Follow with Inductive Matrix Completion. - Mehdi Elahi, Mouzhi Ge, Francesco Ricci, David Massimo, Shlomo Berkovsky:
Interactive Food Recommendation for Groups. - Masaki Eto:
Random Walk with Wait and Restart on Document Co-citation Network for Similar Document Search. - Maria Soledad Pera, Yiu-Kai Ng:
Assisting Emergent Readers in Finding Books to Read. - Cataldo Musto, Giovanni Semeraro, Pasquale Lops, Marco de Gemmis, Georgios Lekkas:
Financial Product Recommendation through Case-based Reasoning and Diversification Techniques. - Muhammad Nadeem, Edward B. Allen, Byron J. Williams:
Computer Security Training Recommender for Developers. - Panagiotis Adamopoulos, Alexander Tuzhilin:
Estimating the Value of Multi-Dimensional Data Sets in Context-based Recommender Systems. - Wesley M. Gifford, Ashish Jagmohan, Yi-Min Chee, Anshul Sheopuri, John Ambrose, Sue Rodeman, Shota Aki:
Engaging Learners in an Enterprise L&K System. - Wolfgang Wörndl, Part Saelim:
Voting Operations for a Group Recommender System in a Distributed User Interface Environment. - Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, Jun Sakuma:
Correcting Popularity Bias by Enhancing Recommendation Neutrality. - Shay Ben-Elazar, Noam Koenigstein:
A Hybrid Explanations Framework for Collaborative Filtering Recommender Systems. - Marcelo Gabriel Armentano, Silvia N. Schiaffino, Analía Amandi:
The Role of Prior Experience in User's Engagement with a New Recommender System. - Azin Ashkan, Branislav Kveton, Shlomo Berkovsky, Zheng Wen:
Diversified Utility Maximization for Recommendations. - Rishabh Mehrotra, Emine Yilmaz, Manisha Verma:
Task-Based User Modelling for Personalization via Probabilistic Matrix Factorization. - Sandro Schopfer, Thorben Keller:
Long Term Recommender Benchmarking for Mobile Shopping List Applications using Markov Chains. - Xian Chen, Hyoseop Shin:
Learning to Measure Quality of Queries for Automatic Query Suggestion. - Konstantin Bauman, Alexander Tuzhilin:
Recommending Learning Materials to Students by Identifying their Knowledge Gaps. - Max Sklar, Kristian J. Concepcion:
Timely Tip Selection for Foursquare Recommendations. - Simon Dooms, Toon De Pessemier, Luc Martens:
Improving IMDb Movie Recommendations with Interactive Settings and Filters. - Alan Said, Babak Loni, Roberto Turrin, Andreas Lommatzsch:
An Extended Data Model Format for Composite Recommendation.
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