| 2016 | Recommending Items with Conditions Enhancing User Experiences Based on Sentiment Analysis of Reviews. | Konstantin Bauman, Bing Liu, Alexander Tuzhilin |
| 2016 | Recommending for the World. | Justin Basilico, Yves Raimond |
| 2016 | Item2vec: Neural Item Embedding for Collaborative Filtering. | Oren Barkan, Noam Koenigstein |
| 2016 | Modelling Session Activity with Neural Embedding. | Oren Barkan, Yael Brumer, Noam Koenigstein |
| 2016 | Increasing the Trustworthiness of Recommendations by Exploiting Social Media Sources. | Catalin-Mihai Barbu |
| 2016 | MAPS: A Multi Aspect Personalized POI Recommender System. | Ramesh Baral, Tao Li |
| 2016 | Untitled record | Trapit Bansal, David Belanger, Andrew McCallum |
| 2016 | Is Readability a Valuable Signal for Hashtag Recommendations? | Ion Madrazo Azpiazu, Maria Soledad Pera |
| 2016 | Recommender Systems with Personality. | Amos Azaria, Jason I. Hong |
| 2016 | The Value of Online Customer Reviews. | Georgios Askalidis, Edward C. Malthouse |
| 2016 | Recommendation from Intransitive Pairwise Comparisons. | Elja Arjas, Arnoldo Frigessi, Valeria Vitelli, Marta Crispino |
| 2016 | Leveraging a Graph-Powered, Real-Time Recommendation Engine to Create Rapid Business Value. | Adam Anthony, Yu-Keng Shih, Ruoming Jin, Yang Xiang |
| 2016 | Memory Priming and User Preferences. | Evangelia Anagnostopoulou, Efthimios Bothos, Babis Magoutas, Gregoris Mentzas |
| 2016 | Past, Present, and Future of Recommender Systems: An Industry Perspective. | Xavier Amatriain, Justin Basilico |
| 2016 | Tutorial: Lessons Learned from Building Real-life Recommender Systems. | Xavier Amatriain, Deepak Agarwal |
| 2016 | Learning-to-Rank in Research Paper CBF recommendation: Leveraging Irrelevant Papers. | Anas Alzoghbi, Victor Anthony Arrascue Ayala, Peter M. Fischer, Georg Lausen |
| 2016 | Quote Recommendation for Dialogs and Writings. | Yeonchan Ahn, Hanbit Lee, Heesik Jeon, Seungdo Ha, Sang-goo Lee |
| 2016 | Estimating Party-user Similarity in Voting Advice Applications using Hidden Markov Models. | Marilena Agathokleous, Nicolas Tsapatsoulis, Constantinos Djouvas |
| 2016 | Understanding Effects of Personalized vs. Aggregate Ratings on User Preferences. | Gediminas Adomavicius, Jesse C. Bockstedt, Shawn P. Curley, Jingjing Zhang |
| 2016 | RecSys Challenge 2016: Job Recommendations. | Fabian Abel, Andrs A. Benczr, Daniel Kohlsdorf, Martha A. Larson, Rbert Plovics |
| 2016 | DiRec: A Distributed User Interface Video Recommender. | Wessam Abdrabo, Wolfgang Wrndl |
| 2015 | Recommendations in Travel. | Onno Zoeter |
| 2015 | E-commerce Recommendation with Personalized Promotion. | Qi Zhao, Yi Zhang, Daniel Friedman, Fangfang Tan |
| 2015 | Risk-Hedged Venture Capital Investment Recommendation. | Xiaoxue Zhao, Weinan Zhang, Jun Wang |
| 2015 | LSRS'15: Workshop on Large-Scale Recommender Systems. | Tao Ye, Danny Bickson, Nicholas Ampazis, Andrs A. Benczr |