| 2014 | User perception of differences in recommender algorithms. | Michael D. Ekstrand, F. Maxwell Harper, Martijn C. Willemsen, Joseph A. Konstan |
| 2014 | Improving IMDb Movie Recommendations with Interactive Settings and Filters. | Simon Dooms, Toon De Pessemier, Luc Martens |
| 2014 | A User-centered Music Recommendation Approach for Daily Activities. | Ricardo Dias, Manuel J. Fonseca, Ricardo Cunha |
| 2014 | Preference elicitation for narrowing the recommended list for groups. | Lihi Naamani Dery, Meir Kalech, Lior Rokach, Bracha Shapira |
| 2014 | Multi-criteria journey aware housing recommender system. | Elizabeth M. Daly, Adi Botea, Akihiro Kishimoto, Radu Marinescu |
| 2014 | Cross-domain recommendations without overlapping data: myth or reality? | Paolo Cremonesi, Massimo Quadrana |
| 2014 | Exploiting FrameNet for Content-Based Book Recommendation. | Orphe De Clercq, Michael Schuhmacher, Simone Paolo Ponzetto, Vronique Hoste |
| 2014 | Moving beyond linearity and independence in top-N recommender systems. | Evangelia Christakopoulou |
| 2014 | HybridRank: A Hybrid Content-Based Approach To Mobile Game Recommendations. | Anthony Chow, Min-Hui Nicole Foo, Giuseppe Manai |
| 2014 | Learning to Measure Quality of Queries for Automatic Query Suggestion. | Xian Chen, Hyoseop Shin |
| 2014 | Gradient boosting factorization machines. | Chen Cheng, Fen Xia, Tong Zhang, Irwin King, Michael R. Lyu |
| 2014 | Tutorial on cross-domain recommender systems. | Ivn Cantador, Paolo Cremonesi |
| 2014 | Exploring Social Network Effects on Popularity Biases in Recommender Systems. | Roco Caamares, Pablo Castells |
| 2014 | Switching hybrid for cold-starting context-aware recommender systems. | Matthias Braunhofer, Victor Codina, Francesco Ricci |
| 2014 | Hybridisation techniques for cold-starting context-aware recommender systems. | Matthias Braunhofer |
| 2014 | Workshop on new trends in content-based recommender systems: (CBRecSys 2014). | Toine Bogers, Marijn Koolen, Ivn Cantador |
| 2014 | First workshop on recommendation systems for television and online video: (RecSysTV 2014). | Danny Bickson, John Hannon, Jan Neumann, Hassan Sayyadi |
| 2014 | Inferring user interests in the Twitter social network. | Parantapa Bhattacharya, Muhammad Bilal Zafar, Niloy Ganguly, Saptarshi Ghosh, Krishna P. Gummadi |
| 2014 | Recommending with an agenda: active learning of private attributes using matrix factorization. | Smriti Bhagat, Udi Weinsberg, Stratis Ioannidis, Nina Taft |
| 2014 | Configuring and monitoring recommender system as a service. | David Ben-Shimon, Alexander Tsikinovsky, Michael Friedmann, Johannes Hrle |
| 2014 | A Hybrid Explanations Framework for Collaborative Filtering Recommender Systems. | Shay Ben-Elazar, Noam Koenigstein |
| 2014 | Recommending Learning Materials to Students by Identifying their Knowledge Gaps. | Konstantin Bauman, Alexander Tuzhilin |
| 2014 | Discovering Contextual Information from User Reviews for Recommendation Purposes. | Konstantin Bauman, Alexander Tuzhilin |
| 2014 | A framework for matrix factorization based on general distributions. | Josef Bauer, Alexandros Nanopoulos |
| 2014 | LinkedIn skills: large-scale topic extraction and inference. | Mathieu Bastian, Matthew Hayes, William Vaughan, Sam Shah, Peter Skomoroch, Hyung Jin Kim, Sal Uryasev, Christopher Lloyd |