| 2016 | Human-Recommender Systems: From Benchmark Data to Benchmark Cognitive Models. | Patrick Shafto, Olfa Nasraoui |
| 2016 | Idomaar: A Framework for Multi-dimensional Benchmarking of Recommender Algorithms. | Mario Scriminaci, Andreas Lommatzsch, Benjamin Kille, Frank Hopfgartner, Martha A. Larson, Davide Malagoli, Andrs Serny, Till Plumbaum |
| 2016 | How to Survive Dynamic Pricing Competition in E-commerce. | Rainer Schlosser, Martin Boissier, Andre Schober, Matthias Uflacker |
| 2016 | Personalized Support for Healthy Nutrition Decisions. | Hanna Schfer |
| 2016 | Proactive Recommendation Delivery. | Adem Sabic |
| 2016 | Choice-Based Recommender Systems. | Paula Saavedra, Pablo Barreiro, Roi Durn, Rosa M. Crujeiras, Mara Loureiro, Eduardo Snchez Vila |
| 2016 | Latent Factor Representations for Cold-Start Video Recommendation. | Sujoy Roy, Sharath Chandra Guntuku |
| 2016 | Contrasting Offline and Online Results when Evaluating Recommendation Algorithms. | Marco Rossetti, Fabio Stella, Markus Zanker |
| 2016 | RDF Graph Embeddings for Content-based Recommender Systems. | Jessica Rosati, Petar Ristoski, Tommaso Di Noia, Renato De Leone, Heiko Paulheim |
| 2016 | Item-to-item Recommendations at Pinterest. | Stephanie Kaye Rogers |
| 2016 | Personality in Computational Advertising: A Benchmark. | Giorgio Roffo, Alessandro Vinciarelli |
| 2016 | Topical Semantic Recommendations for Auteur Films. | Christian Rakow, Andreas Lommatzsch, Till Plumbaum |
| 2016 | Recommending New Items to Ephemeral Groups Using Contextual User Influence. | Elisa Quintarelli, Emanuele Rabosio, Letizia Tanca |
| 2016 | A Scalable Approach for Periodical Personalized Recommendations. | Zhen Qin, Ish Rishabh, John Carnahan |
| 2016 | Mining Information for the Cold-Item Problem. | Fatemeh Pourgholamali |
| 2016 | Recommender System Incorporating User Personality Profile through Analysis of Written Reviews. | Peter Potash, Anna Rumshisky |
| 2016 | A preliminary study on a recommender system for the job recommendation challenge. | Mirko Polato, Fabio Aiolli |
| 2016 | A scalable, high-performance Algorithm for hybrid job recommendations. | Toon De Pessemier, Kris Vanhecke, Luc Martens |
| 2016 | Automated Machine Learning in the Wild. | Claudia Perlich |
| 2016 | Recommender Systems from an Industrial and Ethical Perspective. | Dimitris Paraschakis |
| 2016 | A Coverage-Based Approach to Recommendation Diversity On Similarity Graph. | Shameem Puthiya Parambath, Nicolas Usunier, Yves Grandvalet |
| 2016 | The Contextual Turn: from Context-Aware to Context-Driven Recommender Systems. | Roberto Pagano, Paolo Cremonesi, Martha A. Larson, Balzs Hidasi, Domonkos Tikk, Alexandros Karatzoglou, Massimo Quadrana |
| 2016 | RecSys Challenge 2016: job recommendations based on preselection of offers and gradient boosting. | Andrzej Pacuk, Piotr Sankowski, Karol Wegrzycki, Adam Witkowski, Piotr Wygocki |
| 2016 | A Comparative Analysis of Personality-Based Music Recommender Systems. | Melissa Onori, Alessandro Micarelli, Giuseppe Sansonetti |
| 2016 | A Cross-Cultural Analysis of Explanations for Product Reviews. | John O'Donovan, Shinsuke Nakajima, Tobias Hllerer, Mayumi Ueda, Yuuki Matsunami, Byungkyu Kang |