| 2016 | 3rd Workshop on Recommendation Systems for Television and Online Video (RecSysTV 2016). Jan Neumann, John Hannon, Claudio Riefolo, Hassan Sayyadi |
| 2016 | 4th Workshop on Emotions and Personality in Personalized Systems (EMPIRE). Marko Tkalcic, Berardina De Carolis, Marco de Gemmis, Andrej Kosir |
| 2016 | A Coverage-Based Approach to Recommendation Diversity On Similarity Graph. Shameem Puthiya Parambath, Nicolas Usunier, Yves Grandvalet |
| 2016 | A Cross-Industry Machine Learning Framework with Explicit Representations. Denise Ichinco, Sahil Zubair, Jana Eggers, Nathan Wilson |
| 2016 | A Package Recommendation Framework for Trip Planning Activities. Idir Benouaret, Dominique Lenne |
| 2016 | A Recommender System to tackle Enterprise Collaboration. Gabriel de Souza Pereira Moreira, Gilmar Alves de Souza |
| 2016 | A Scalable Approach for Periodical Personalized Recommendations. Zhen Qin, Ish Rishabh, John Carnahan |
| 2016 | Accuracy and Diversity in Cross-domain Recommendations for Cold-start Users with Positive-only Feedback. Ignacio Fernández-Tobías, Paolo Tomeo, Iván Cantador, Tommaso Di Noia, Eugenio Di Sciascio |
| 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 | Addressing Cold Start for Next-song Recommendation. Szu-Yu Chou, Yi-Hsuan Yang, Jyh-Shing Roger Jang, Yu-Ching Lin |
| 2016 | Algorithms Aside: Recommendation As The Lens Of Life. Tamas Motajcsek, Jean-Yves Le Moine, Martha A. Larson, Daniel Kohlsdorf, Andreas Lommatzsch, Domonkos Tikk, Omar Alonso, Paolo Cremonesi, Andrew M. Demetriou, Kristaps Dobrajs, Franca Garzotto, Ayse Göker, Frank Hopfgartner, Davide Malagoli, Thuy Ngoc Nguyen, Jasminko Novak, Francesco Ricci, Mario Scriminaci, Marko Tkalcic, Anna Zacchi |
| 2016 | Are You Influenced by Others When Rating?: Improve Rating Prediction by Conformity Modeling. Yiming Liu, Xuezhi Cao, Yong Yu |
| 2016 | Asynchronous Distributed Matrix Factorization with Similar User and Item Based Regularization. Bikash Joshi, Franck Iutzeler, Massih-Reza Amini |
| 2016 | Automated Machine Learning in the Wild. Claudia Perlich |
| 2016 | Bayesian Low-Rank Determinantal Point Processes. Mike Gartrell, Ulrich Paquet, Noam Koenigstein |
| 2016 | Bayesian Personalized Ranking with Multi-Channel User Feedback. Babak Loni, Roberto Pagano, Martha A. Larson, Alan Hanjalic |
| 2016 | Behaviorism is Not Enough: Better Recommendations through Listening to Users. Michael D. Ekstrand, Martijn C. Willemsen |
| 2016 | Considering Supplier Relations and Monetization in Designing Recommendation Systems. Jan Krasnodebski, John Dines |
| 2016 | Context-Based IDE Command Recommender System. Marko Gasparic |
| 2016 | Contrasting Offline and Online Results when Evaluating Recommendation Algorithms. Marco Rossetti, Fabio Stella, Markus Zanker |
| 2016 | Conversational Recommendation System with Unsupervised Learning. Yueming Sun, Yi Zhang, Yunfei Chen, Roger Jin |
| 2016 | Convolutional Matrix Factorization for Document Context-Aware Recommendation. Donghyun Kim, Chanyoung Park, Jinoh Oh, Sungyoung Lee, Hwanjo Yu |
| 2016 | Crowd-Based Personalized Natural Language Explanations for Recommendations. Shuo Chang, F. Maxwell Harper, Loren Gilbert Terveen |
| 2016 | Deep Neural Networks for YouTube Recommendations. Paul Covington, Jay Adams, Emre Sargin |
| 2016 | Discovering What You're Known For: A Contextual Poisson Factorization Approach. Haokai Lu, James Caverlee, Wei Niu |
| 2016 | Domain-Aware Grade Prediction and Top-n Course Recommendation. Asmaa Elbadrawy, George Karypis |
| 2016 | Efficient Bayesian Methods for Graph-based Recommendation. Ramon Lopes, Renato M. Assunção, Rodrygo L. T. Santos |
| 2016 | Engendering Health with Recommender Systems. David Elsweiler, Bernd Ludwig, Alan Said, Hanna Schäfer, Christoph Trattner |
| 2016 | ExpLOD: A Framework for Explaining Recommendations based on the Linked Open Data Cloud. Cataldo Musto, Fedelucio Narducci, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro |
| 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 | Factorization Meets the Item Embedding: Regularizing Matrix Factorization with Item Co-occurrence. Dawen Liang, Jaan Altosaar, Laurent Charlin, David M. Blei |
| 2016 | Feature Selection For Human Recommenders. Katherine A. Livins |
| 2016 | Field-aware Factorization Machines for CTR Prediction. Yu-Chin Juan, Yong Zhuang, Wei-Sheng Chin, Chih-Jen Lin |
| 2016 | Fifty Shades of Ratings: How to Benefit from a Negative Feedback in Top-N Recommendations Tasks. Evgeny Frolov, Ivan V. Oseledets |
| 2016 | Gaze Prediction for Recommender Systems. Qian Zhao, Shuo Chang, F. Maxwell Harper, Joseph A. Konstan |
| 2016 | Generating Pseudotransactions for Improving Sparse Matrix Factorization. Agung Toto Wibowo |
| 2016 | Getting the Timing Right: Leveraging Category Inter-purchase Times to Improve Recommender Systems. Denis Vuckovac, Julia Wamsler, Alexander Ilic, Martin Natter |
| 2016 | Gray Sheep, Influential Users, User Modeling and Recommender System Adoption by Startups. Abhishek Srivastava |
| 2016 | Group Recommender Systems. Ludovico Boratto |
| 2016 | Guided Walk: A Scalable Recommendation Algorithm for Complex Heterogeneous Social Networks. Roy Levin, Hassan Abassi, Uzi Cohen |
| 2016 | HCI for Recommender Systems: the Past, the Present and the Future. André Calero Valdez, Martina Ziefle, Katrien Verbert |
| 2016 | Human-Recommender Systems: From Benchmark Data to Benchmark Cognitive Models. Patrick Shafto, Olfa Nasraoui |
| 2016 | Hypothesis Testing: How to Eliminate Ideas as Soon as Possible. Roman Zykov |
| 2016 | Increasing the Trustworthiness of Recommendations by Exploiting Social Media Sources. Catalin-Mihai Barbu |
| 2016 | Intent-Aware Diversification Using a Constrained PLSA. Jacek Wasilewski, Neil Hurley |
| 2016 | Item-to-item Recommendations at Pinterest. Stephanie Kaye Rogers |
| 2016 | Joint User Modeling across Aligned Heterogeneous Sites. Xuezhi Cao, Yong Yu |
| 2016 | LSRS'16: Workshop on Large-Scale Recommender Systems. Tao Ye, Danny Bickson, Denis Parra |
| 2016 | Latent Factor Representations for Cold-Start Video Recommendation. Sujoy Roy, Sharath Chandra Guntuku |
| 2016 | Learning Hierarchical Feature Influence for Recommendation by Recursive Regularization. Jie Yang, Zhu Sun, Alessandro Bozzon, Jie Zhang |
| 2016 | Leveraging a Graph-Powered, Real-Time Recommendation Engine to Create Rapid Business Value. Adam Anthony, Yu-Keng Shih, Ruoming Jin, Yang Xiang |
| 2016 | Local Item-Item Models For Top-N Recommendation. Evangelia Christakopoulou, George Karypis |
| 2016 | MAPS: A Multi Aspect Personalized POI Recommender System. Ramesh Baral, Tao Li |
| 2016 | Marsbot: Building a Personal Assistant. Max Sklar |
| 2016 | Matrix and Tensor Decomposition in Recommender Systems. Panagiotis Symeonidis |
| 2016 | Mechanism Design for Personalized Recommender Systems. Qingpeng Cai, Aris Filos-Ratsikas, Chang Liu, Pingzhong Tang |
| 2016 | Mendeley: Recommendations for Researchers. Saúl Vargas, Maya Hristakeva, Kris Jack |
| 2016 | Meta-Prod2Vec: Product Embeddings Using Side-Information for Recommendation. Flavian Vasile, Elena Smirnova, Alexis Conneau |
| 2016 | Mining Information for the Cold-Item Problem. Fatemeh Pourgholamali |
| 2016 | Modelling Contextual Information in Session-Aware Recommender Systems with Neural Networks. Bartlomiej Twardowski |
| 2016 | Mood-Sensitive Truth Discovery For Reliable Recommendation Systems in Social Sensing. Jermaine Marshall, Dong Wang |
| 2016 | Multi-Word Generative Query Recommendation Using Topic Modeling. Matthew Mitsui, Chirag Shah |
| 2016 | Multi-corpus Personalized Recommendations on Google Play. Levent Koc, Cyrus Master |
| 2016 | Music Personalization at Spotify. Kurt Jacobson, Vidhya Murali, Edward Newett, Brian Whitman, Romain Yon |
| 2016 | News Recommendations at scale at Bloomberg Media: Challenges and Approaches. Dhaval Shah, Pramod Koneru, Parth Shah, Rohit Parimi |
| 2016 | Observing Group Decision Making Processes. Amra Delic, Julia Neidhardt, Thuy Ngoc Nguyen, Francesco Ricci, Laurens Rook, Hannes Werthner, Markus Zanker |
| 2016 | Optimizing Similar Item Recommendations in a Semi-structured Marketplace to Maximize Conversion. Yuri M. Brovman, Marie Jacob, Natraj Srinivasan, Stephen Neola, Daniel A. Galron, Ryan Snyder, Paul Wang |
| 2016 | Pairwise Preferences Based Matrix Factorization and Nearest Neighbor Recommendation Techniques. Saikishore Kalloori, Francesco Ricci, Marko Tkalcic |
| 2016 | Parallel Recurrent Neural Network Architectures for Feature-rich Session-based Recommendations. Balázs Hidasi, Massimo Quadrana, Alexandros Karatzoglou, Domonkos Tikk |
| 2016 | Past, Present, and Future of Recommender Systems: An Industry Perspective. Xavier Amatriain, Justin Basilico |
| 2016 | People Recommendation Tutorial. Ido Guy, Luiz Augusto Pizzato |
| 2016 | Personalization for Google Now: User Understanding and Application to Information Recommendation and Exploration. Shashi Thakur |
| 2016 | Personalized Recommendations using Knowledge Graphs: A Probabilistic Logic Programming Approach. Rose Catherine, William W. Cohen |
| 2016 | Personalized Support for Healthy Nutrition Decisions. Hanna Schäfer |
| 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 | Proactive Recommendation Delivery. Adem Sabic |
| 2016 | Proceedings of the 10th ACM Conference on Recommender Systems, Boston, MA, USA, September 15-19, 2016 Shilad Sen, Werner Geyer, Jill Freyne, Pablo Castells |
| 2016 | Query-based Music Recommendations via Preference Embedding. Chih-Ming Chen, Ming-Feng Tsai, Yu-Ching Lin, Yi-Hsuan Yang |
| 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 | RecProfile '16: Workshop on Profiling User Preferences for Dynamic, Online, and Real-Time recommendations. Rani Nelken |
| 2016 | RecSys Challenge 2016: Job Recommendations. Fabian Abel, András A. Benczúr, Daniel Kohlsdorf, Martha A. Larson, Róbert Pálovics |
| 2016 | RecSys'16 Joint Workshop on Interfaces and Human Decision Making for Recommender Systems. Peter Brusilovsky, Alexander Felfernig, Pasquale Lops, John O'Donovan, Giovanni Semeraro, Nava Tintarev, Martijn C. Willemsen |
| 2016 | RecSys'16 Workshop on Deep Learning for Recommender Systems (DLRS). Alexandros Karatzoglou, Balázs Hidasi, Domonkos Tikk, Oren Sar Shalom, Haggai Roitman, Bracha Shapira, Lior Rokach |
| 2016 | RecTour 2016: Workshop on Recommenders in Tourism. Daniel R. Fesenmaier, Tsvi Kuflik, Julia Neidhardt |
| 2016 | Recommendations with a Purpose. Dietmar Jannach, Gediminas Adomavicius |
| 2016 | Recommender Systems for Self-Actualization. Bart P. Knijnenburg, Saadhika Sivakumar, Daricia Wilkinson |
| 2016 | Recommender Systems from an Industrial and Ethical Perspective. Dimitris Paraschakis |
| 2016 | Recommender Systems with Personality. Amos Azaria, Jason I. Hong |
| 2016 | Recommending New Items to Ephemeral Groups Using Contextual User Influence. Elisa Quintarelli, Emanuele Rabosio, Letizia Tanca |
| 2016 | Recommending Repeat Purchases using Product Segment Statistics. Suvodip Dey, Pabitra Mitra, Kratika Gupta |
| 2016 | Recommending for the World. Justin Basilico, Yves Raimond |
| 2016 | Recommending the World's Knowledge: Application of Recommender Systems at Quora. Lei Yang, Xavier Amatriain |
| 2016 | Representation Learning for Homophilic Preferences. Trong T. Nguyen, Hady Wirawan Lauw |
| 2016 | STAR: Semiring Trust Inference for Trust-Aware Social Recommenders. Peixin Gao, Hui Miao, John S. Baras, Jennifer Golbeck |
| 2016 | T-RecS: A Framework for a Temporal Semantic Analysis of the ACM Recommender Systems Conference. Fedelucio Narducci, Pierpaolo Basile, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro |
| 2016 | TAPER: A Contextual Tensor-Based Approach for Personalized Expert Recommendation. Hancheng Ge, James Caverlee, Haokai Lu |
| 2016 | The Contextual Turn: from Context-Aware to Context-Driven Recommender Systems. Roberto Pagano, Paolo Cremonesi, Martha A. Larson, Balázs Hidasi, Domonkos Tikk, Alexandros Karatzoglou, Massimo Quadrana |
| 2016 | The Exploit-Explore Dilemma in Music Recommendation. Òscar Celma |
| 2016 | The Value of Online Customer Reviews. Georgios Askalidis, Edward C. Malthouse |
| 2016 | Third Workshop on New Trends in Content-based Recommender Systems (CBRecSys 2016). Toine Bogers, Marijn Koolen, Cataldo Musto, Pasquale Lops, Giovanni Semeraro |
| 2016 | Topical Semantic Recommendations for Auteur Films. Christian Rakow, Andreas Lommatzsch, Till Plumbaum |
| 2016 | Tutorial: Lessons Learned from Building Real-life Recommender Systems. Xavier Amatriain, Deepak Agarwal |
| 2016 | Using Navigation to Improve Recommendations in Real-Time. Chao-Yuan Wu, Christopher V. Alvino, Alexander J. Smola, Justin Basilico |
| 2016 | Vista: A Visually, Socially, and Temporally-aware Model for Artistic Recommendation. Ruining He, Chen Fang, Zhaowen Wang, Julian J. McAuley |
| 2016 | When Recommendation Systems Go Bad. Evan Estola |