- Investigating Mere-Presence Effects of Recommendations on the Consumer Choice Process – Sören Köcher, Dietmar Jannach, Michael Jugovac and Hartmut Holzmüller
- Estimating party-user similarity in Voting Advice Applications using Hidden Markov Models – Marilena Agathokleous, Nicolas Tsapatsoulis and Constantinos Djouvas
- Understanding Effects of Personalized vs. Aggregate Ratings on User Preferences – Gediminas Adomavicius, Jesse Bockstedt, Shawn Curley and Jingjing Zhang
- Can Trailers Help to Alleviate Popularity Bias in Choice-Based Preference Elicitation? – Mark Graus and Martijn Willemsen
- Scalable Exploration of Relevance Prospects to Support Decision Making – Katrien Verbert, Karsten Seipp, Chen He, Denis Parra, Chirayu Wongchokprasitti and Peter Brusilovsky
- Complements and Substitutes in Product Recommendations: The Differential Effects on Consumers’ Willingness-to-pay – Mingyue Zhang and Jesse Bockstedt
- DiRec: A Distributed User Interface Video Recommender – Wessam Abdrabo and Wolfgang Wörndl
- Learning User’s Preferred Household Organization via Collaborative Filtering Methods – Stephen Brawner and Michael L. Littman
- Explanation Interfaces for Cosmetic Product Reviews: A Cross-Cultural User Study – Byungkyu Kang, John O’Donovan, Tobias Hollerer and Shinsuke Nakajima