Vol-1679
urn:nbn:de:0074-1679-9

Copyright © 2016 for the individual papers by the papers' authors. Copying permitted for private and academic purposes. This volume is published and copyrighted by its editors.

IntRS 2016
Interfaces and Human Decision Making for Recommender Systems

Proceedings of the Joint Workshop on Interfaces and Human Decision Making for Recommender Systems
co-located with ACM Conference on Recommender Systems (RecSys 2016)

Boston, MA, USA, September 16, 2016.

Edited by

Peter Brusilovsky (1)
Alexander Felfernig (2)
Pasquale Lops (3)
John O'Donovan (4)
Giovanni Semeraro (3)
Nava Tintarev (5)
Martijn C. Willemsen (6)

(1) University of Pittsburgh, USA
(2) Graz University of Technology, Austria
(3) University of Bari "Aldo Moro", Italy
(4) University of California, Santa Barbara, USA
(5) Bournemouth University, UK
(6) Eindhoven University of Technology, The Netherlands

Table of Contents

Preface

Invited Presentation

User-Tailored Privacy for Interactive Recommender Systems 1
Bart P. Knijnenburg

Accepted Papers

Investigating Mere-Presence Effects of Recommendations on the Consumer Choice Process 2-5
Sören Köcher, Dietmar Jannach, Michael Jugovac, Hartmut H. Holzmüller
Estimating Party-user Similarity in Voting Advice Applications using Hidden Markov Models 6-13
Marilena Agathokleous, Nicolas Tsapatsoulis, Constantinos Djouvas
Understanding Effects of Personalized vs. Aggregate Ratings on User Preferences 14-21
Gediminas Adomavicius, Jesse Bockstedt, Shawn Curley, Jingjing Zhang
Can Trailers Help to Alleviate Popularity Bias in Choice-Based Preference Elicitation? 22-27
Mark P. Graus, Martijn C. Willemsen
Scalable Exploration of Relevance Prospects to Support Decision Making 28-35
Katrien Verbert, Karsten Seipp, Chen He, Denis Parra, Chirayu Wongchokprasitti, Peter Brusilovsky
Complements and Substitutes in Product Recommendations: The Differential Effects on Consumers' Willingness-to-pay 36-43
Mingyue Zhang, Jesse Bockstedt
DiRec: A Distributed User Interface Video Recommender 44-47
Wessam Abdrabo, Wolfgang Wörndl
Learning User's Preferred Household Organization via Collaborative Filtering Methods 48-54
Stephen Brawner, Michael L. Littman
A Cross-Cultural Analysis of Explanations for Product Reviews 55-58
John O'Donovan, Shinsuke Nakajima, Tobias Höllerer, Mayumi Ueda, Yuuki Matsunami, Byungkyu Kang

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2016-09-06: submitted by Pasquale Lops, metadata incl. bibliographic data published under Creative Commons CC0
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