| 2016 | Recurrent Neural Networks for Customer Purchase Prediction on Twitter. | Mandy Korpusik, Shigeyuki Sakaki, Francine Chen, Yan-Ying Chen |
| 2016 | Multi-corpus Personalized Recommendations on Google Play. | Levent Koc, Cyrus Master |
| 2016 | Investigating Mere-Presence Effects of Recommendations on the Consumer Choice Process. | Sren Kcher, Dietmar Jannach, Michael Jugovac, Hartmut H. Holzmller |
| 2016 | Recommender Systems for Self-Actualization. | Bart P. Knijnenburg, Saadhika Sivakumar, Daricia Wilkinson |
| 2016 | User-Tailored Privacy for Interactive Recommender Systems. | Bart P. Knijnenburg |
| 2016 | Convolutional Matrix Factorization for Document Context-Aware Recommendation. | Donghyun Kim, Chanyoung Park, Jinoh Oh, Sungyoung Lee, Hwanjo Yu |
| 2016 | Cross Domain Recommendation Using Vector Space Transfer Learning. | Masahiro Kazama, Istvn Varga |
| 2016 | Improved Recommendation of Photo-Taking Locations using Virtual Ratings. | Mesut Kaya, Derek G. Bridge |
| 2016 | Exploring the Value of Personality in Predicting Rating Behaviors: A Study of Category Preferences on MovieLens. | Raghav Pavan Karumur, Tien T. Nguyen, Joseph A. Konstan |
| 2016 | RecSys'16 Workshop on Deep Learning for Recommender Systems (DLRS). | Alexandros Karatzoglou, Balzs Hidasi, Domonkos Tikk, Oren Sar Shalom, Haggai Roitman, Bracha Shapira, Lior Rokach |
| 2016 | Pairwise Preferences Based Matrix Factorization and Nearest Neighbor Recommendation Techniques. | Saikishore Kalloori, Francesco Ricci, Marko Tkalcic |
| 2016 | Field-aware Factorization Machines for CTR Prediction. | Yu-Chin Juan, Yong Zhuang, Wei-Sheng Chin, Chih-Jen Lin |
| 2016 | Asynchronous Distributed Matrix Factorization with Similar User and Item Based Regularization. | Bikash Joshi, Franck Iutzeler, Massih-Reza Amini |
| 2016 | Recommendations with a Purpose. | Dietmar Jannach, Gediminas Adomavicius |
| 2016 | Music Personalization at Spotify. | Kurt Jacobson, Vidhya Murali, Edward Newett, Brian Whitman, Romain Yon |
| 2016 | A Cross-Industry Machine Learning Framework with Explicit Representations. | Denise Ichinco, Sahil Zubair, Jana Eggers, Nathan Wilson |
| 2016 | RecExp: A Semantic Recommender System with Explanation Based on Heterogeneous Information Network. | Jiawei Hu, Zhiqiang Zhang, Jian Liu, Chuan Shi, Philip S. Yu, Bai Wang |
| 2016 | Jobandtalent at RecSys Challenge 2016. | Jose Ignacio Honrado, Oscar Huarte, Cesar Jimenez, Sebastian Ortega, Jos R. Prez-Agera, Joaqun Prez-Iglesias, lvaro Polo, Gabriel Rodrguez |
| 2016 | Learning the Popularity of Items for Mobile Tourist Guides. | Patrick Hiesel, Matthias Braunhofer, Wolfgang Wrndl |
| 2016 | Parallel Recurrent Neural Network Architectures for Feature-rich Session-based Recommendations. | Balzs Hidasi, Massimo Quadrana, Alexandros Karatzoglou, Domonkos Tikk |
| 2016 | Exploiting Item Dependencies to Improve Tourist Trip Recommendations. | Daniel Herzog, Wolfgang Wrndl |
| 2016 | Vista: A Visually, Socially, and Temporally-aware Model for Artistic Recommendation. | Ruining He, Chen Fang, Zhaowen Wang, Julian J. McAuley |
| 2016 | People Recommendation Tutorial. | Ido Guy, Luiz Augusto Pizzato |
| 2016 | Can Trailers Help to Alleviate Popularity Bias in Choice-Based Preference Elicitation? | Mark P. Graus, Martijn C. Willemsen |
| 2016 | Investigating the Role of Personality Traits and Influence Strategies on the Persuasive Effect of Personalized Recommendations. | Sofia Gkika, Marianna Skiada, George Lekakos, Panos E. Kourouthanassis |