Poster-RecSys 2014
Poster Proceedings of RecSys 2014

Poster Proceedings of the 8th ACM Conference on Recommender Systems (RecSys 2014)

Foster City, Silicon Valley, USA, October 6-10, 2014.

Edited by

Li Chen *
Jalal Mahmud **

* Department of Computer Science, Hong Kong Baptist University, Hong Kong
** IBM Research, USA

Table of Contents

  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

2014-09-15: submitted by Li Chen
2014-09-18: published on CEUR-WS.org |valid HTML5|