| 2016 | TAPER: A Contextual Tensor-Based Approach for Personalized Expert Recommendation. | Hancheng Ge, James Caverlee, Haokai Lu |
| 2016 | Context-Based IDE Command Recommender System. | Marko Gasparic |
| 2016 | Bayesian Low-Rank Determinantal Point Processes. | Mike Gartrell, Ulrich Paquet, Noam Koenigstein |
| 2016 | STAR: Semiring Trust Inference for Trust-Aware Social Recommenders. | Peixin Gao, Hui Miao, John S. Baras, Jennifer Golbeck |
| 2016 | Fifty Shades of Ratings: How to Benefit from a Negative Feedback in Top-N Recommendations Tasks. | Evgeny Frolov, Ivan V. Oseledets |
| 2016 | A Secure Shopping Experience Based on Blockchain and Beacon Technology. | Remo Manuel Frey, Denis Vuckovac, Alexander Ilic |
| 2016 | RecTour 2016: Workshop on Recommenders in Tourism. | Daniel R. Fesenmaier, Tsvi Kuflik, Julia Neidhardt |
| 2016 | The Influence of Users' Personality Traits on Satisfaction and Attractiveness of Diversified Recommendation Lists. | Bruce Ferwerda, Mark P. Graus, Andreu Vall, Marko Tkalcic, Markus Schedl |
| 2016 | Accuracy and Diversity in Cross-domain Recommendations for Cold-start Users with Positive-only Feedback. | Ignacio Fernndez-Tobas, Paolo Tomeo, Ivn Cantador, Tommaso Di Noia, Eugenio Di Sciascio |
| 2016 | When Recommendation Systems Go Bad. | Evan Estola |
| 2016 | User Segmentation for Controlling Recommendation Diversity. | Farzad Eskandanian, Bamshad Mobasher, Robin D. Burke |
| 2016 | Engendering Health with Recommender Systems. | David Elsweiler, Bernd Ludwig, Alan Said, Hanna Schfer, Christoph Trattner |
| 2016 | Domain-Aware Grade Prediction and Top-n Course Recommendation. | Asmaa Elbadrawy, George Karypis |
| 2016 | Behaviorism is Not Enough: Better Recommendations through Listening to Users. | Michael D. Ekstrand, Martijn C. Willemsen |
| 2016 | Position Paper: Combining Mobility Services by Customer-Induced Orchestration. | Jan Fabian Ehmke, Dirk Christian Mattfeld, Linda Albrecht |
| 2016 | Genre Prediction to Inform the Recommendation Process. | Nevena Dragovic, Maria Soledad Pera |
| 2016 | Anything Fun Going On? A Simple Wizard to Avoid the Cold-Start Problem for Event Recommenders. | Stacey Donohue, Nevena Dragovic, Maria Soledad Pera |
| 2016 | Towards Understanding Latent Factors and User Profiles by Enhancing Matrix Factorization with Tags. | Tim Donkers, Benedikt Loepp, Jrgen Ziegler |
| 2016 | Keynote: Deep learning for audio-based music recommendation. | Sander Dieleman |
| 2016 | Recommending Repeat Purchases using Product Segment Statistics. | Suvodip Dey, Pabitra Mitra, Kratika Gupta |
| 2016 | Observing Group Decision Making Processes. | Amra Delic, Julia Neidhardt, Thuy Ngoc Nguyen, Francesco Ricci, Laurens Rook, Hannes Werthner, Markus Zanker |
| 2016 | Research Methods for Group Recommender System. | Amra Delic, Julia Neidhardt, Thuy Ngoc Nguyen, Francesco Ricci |
| 2016 | Using Visual Features and Latent Factors for Movie Recommendation. | Yashar Deldjoo, Mehdi Elahi, Paolo Cremonesi |
| 2016 | Challenges in Recommender Systems for Tourism. | Manoj Reddy Dareddy |
| 2016 | Recurrent Coevolutionary Latent Feature Processes for Continuous-Time Recommendation. | Hanjun Dai, Yichen Wang, Rakshit S. Trivedi, Le Song |