| 2016 | Intent-Aware Diversification Using a Constrained PLSA. | Jacek Wasilewski, Neil Hurley |
| 2016 | Exploring Deep Space: Learning Personalized Ranking in a Semantic Space. | Jeroen B. P. Vuurens, Martha A. Larson, Arjen P. de Vries |
| 2016 | Getting the Timing Right: Leveraging Category Inter-purchase Times to Improve Recommender Systems. | Denis Vuckovac, Julia Wamsler, Alexander Ilic, Martin Natter |
| 2016 | Scalable Exploration of Relevance Prospects to Support Decision Making. | Katrien Verbert, Karsten Seipp, Chen He, Denis Parra, Chirayu Wongchokprasitti, Peter Brusilovsky |
| 2016 | Meta-Prod2Vec: Product Embeddings Using Side-Information for Recommendation. | Flavian Vasile, Elena Smirnova, Alexis Conneau |
| 2016 | Mendeley: Recommendations for Researchers. | Sal Vargas, Maya Hristakeva, Kris Jack |
| 2016 | HCI for Recommender Systems: the Past, the Present and the Future. | Andr Calero Valdez, Martina Ziefle, Katrien Verbert |
| 2016 | A Motivation-Aware Approach for Point of Interest Recommendations. | Khadija Vakeel, Sanjog Ray |
| 2016 | Weighted Random Walks for Meta-Path Expansion in Heterogeneous Networks. | Fatemeh Vahedian, Robin D. Burke, Bamshad Mobasher |
| 2016 | ReDyAl: A Dynamic Recommendation Algorithm based on Linked Data. | Iacopo Vagliano, Cristhian Figueroa, Oscar Rodriguez Rocha, Marco Torchiano, Catherine Faron-Zucker, Maurizio Morisio |
| 2016 | Deep Auto-Encoding for Context-Aware Inference of Preferred Items' Categories. | Moshe Unger, Bracha Shapira, Lior Rokach, Ariel Bar |
| 2016 | Modelling Contextual Information in Session-Aware Recommender Systems with Neural Networks. | Bartlomiej Twardowski |
| 2016 | Understanding the Impact of Weather for POI Recommendations. | Christoph Trattner, Alexander Oberegger, Lukas Eberhard, Denis Parra, Leandro Balby Marinho |
| 2016 | 4th Workshop on Emotions and Personality in Personalized Systems (EMPIRE). | Marko Tkalcic, Berardina De Carolis, Marco de Gemmis, Andrej Kosir |
| 2016 | Personalization for Google Now: User Understanding and Application to Information Recommendation and Exploration. | Shashi Thakur |
| 2016 | Adaptive, Personalized Diversity for Visual Discovery. | Choon Hui Teo, Houssam Nassif, Daniel N. Hill, Sriram Srinivasan, Mitchell Goodman, Vijai Mohan, S. V. N. Vishwanathan |
| 2016 | Improved Recurrent Neural Networks for Session-based Recommendations. | Yong Kiam Tan, Xinxing Xu, Yong Liu |
| 2016 | Powering Content Discovery through Scalable, Realtime Profiling of Users' Content Preferences. | Ido Tamir, Roy Bass, Guy Kobrinsky, Baruch Brutman, Ronny Lempel, Yoram Dayagi |
| 2016 | MoocRec.com : Massive Open Online Courses Recommender System. | Panagiotis Symeonidis, Dimitrios Malakoudis |
| 2016 | Matrix and Tensor Decomposition in Recommender Systems. | Panagiotis Symeonidis |
| 2016 | Conversational Recommendation System with Unsupervised Learning. | Yueming Sun, Yi Zhang, Yunfei Chen, Roger Jin |
| 2016 | Hybrid Recommender System based on Autoencoders. | Florian Strub, Romaric Gaudel, Jrmie Mary |
| 2016 | Gray Sheep, Influential Users, User Modeling and Recommender System Adoption by Startups. | Abhishek Srivastava |
| 2016 | Marsbot: Building a Personal Assistant. | Max Sklar |
| 2016 | News Recommendations at scale at Bloomberg Media: Challenges and Approaches. | Dhaval Shah, Pramod Koneru, Parth Shah, Rohit Parimi |