| 2017 | Secure Multi-Party Protocols for Item-Based Collaborative Filtering. | Erez Shmueli, Tamir Tassa |
| 2017 | TCNSVD: A Temporal and Community-Aware Recommender Approach. | Mohsen Shahriari, Martin Barth, Ralf Klamma, Christoph Trattner |
| 2017 | Getting Deep Recommenders Fit: Bloom Embeddings for Sparse Binary Input/Output Networks. | Joan Serr, Alexandros Karatzoglou |
| 2017 | pyRecLab: A Software Library for Quick Prototyping of Recommender Systems. | Gabriel Sepulveda, Vicente Dominguez, Denis Parra |
| 2017 | Interpretable Convolutional Neural Networks with Dual Local and Global Attention for Review Rating Prediction. | Sungyong Seo, Jing Huang, Hao Yang, Yan Liu |
| 2017 | Recommending Product Sizes to Customers. | Vivek Sembium, Rajeev Rastogi, Atul Saroop, Srujana Merugu |
| 2017 | Citolytics: A Link-based Recommender System for Wikipedia. | Malte Schwarzer, Corinna Breitinger, Moritz Schubotz, Norman Meuschke, Bela Gipp |
| 2017 | New Paths in Music Recommender Systems Research. | Markus Schedl, Peter Knees, Fabien Gouyon |
| 2017 | Chemical Reactant Recommendation Using a Network of Organic Chemistry. | John Savage, Akihiro Kishimoto, Beat Buesser, Ernesto Diaz-Aviles, Carlos Alzate |
| 2017 | Exploiting Socio-Economic Models for Lodging Recommendation in the Sharing Economy. | Raul Sanchez-Vazquez, Jordan Silva, Rodrygo L. T. Santos |
| 2017 | Cross-Domain Recommendation for Large-Scale Data. | Shaghayegh Sahebi, Peter Brusilovsky, Vladimir Bobrokov |
| 2017 | Inter-Session Modeling for Session-Based Recommendation. | Massimiliano Ruocco, Ole Steinar Lillestl Skrede, Helge Langseth |
| 2017 | Divide and Transfer: Understanding Latent Factors for Recommendation Tasks. | Vidyadhar Rao, Rosni K. Vasu, Vineet Padmanabhan |
| 2017 | Explanation Chains: Recommendations by Explanation. | Arpit Rana, Derek Bridge |
| 2017 | Learning to Rank with Trust and Distrust in Recommender Systems. | Dimitrios Rafailidis, Fabio Crestani |
| 2017 | Personalizing Session-based Recommendations with Hierarchical Recurrent Neural Networks. | Massimo Quadrana, Alexandros Karatzoglou, Balzs Hidasi, Paolo Cremonesi |
| 2017 | Learning Binary Preference Relations: A Comparison of Logic-based and Statistical Approaches. | Nunung Nurul Qomariyah, Dimitar Kazakov |
| 2017 | An Insurance Recommendation System Using Bayesian Networks. | Maleeha Qazi, Glenn Moo Fung, Katie J. Meissner, Eduardo R. Fontes |
| 2017 | An Elementary View on Factorization Machines. | Sebastian Prillo |
| 2017 | Recommendation in Persuasive eHealth Systems: an Effective Strategy to Spot Users' Losing Motivation to Exercise. | Paolo Pilloni, Luca Piras, Ludovico Boratto, Salvatore Carta, Gianni Fenu, Fabrizio Mulas |
| 2017 | Body Measure-aware Fashion Product Recommendations: Evaluating the Predictive Power of Body Scan Data. | Alexander Piazza, Jochen Smuth, Freimut Bodendorf |
| 2017 | Towards Recommender Systems for Police Photo Lineup. | Ladislav Peska, Hana Trojanova |
| 2017 | Unsupervised Context-Driven Recommendations Based On User Reviews. | Francisco J. Pea |
| 2017 | Recommendation of High Quality Representative Reviews in e-commerce. | Debanjan Paul, Sudeshna Sarkar, Muthusamy Chelliah, Chetan Kalyan, Prajit Prashant Sinai Nadkarni |
| 2017 | Fewer Flops at the Top: Accuracy, Diversity, and Regularization in Two-Class Collaborative Filtering. | Bibek Paudel, Thilo Haas, Abraham Bernstein |