Poster-RecSys 2014
Poster Proceedings of RecSys 2014

Table of Contents

• Preface
  Li Chen, Jalal Mahmud
  

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