INTRS WORKSHOP@RECSYS 2018

A Diversity Adjusting Strategy with Personality for Music Recommendation
Feng Lu and Nava Tintarev
Risk “attention” or “adventure”: A Qualitative Study of Novelty and Familiarity in Music Listening
Vikas Kumar, Joseph Konstan, Loren Terveen and Sabirat Rubya
Towards Explanations for Visual Recommender Systems of Artistic Images
Vicente Domínguez, Pablo Messina, Christoph Trattner and Denis Parra
Assessing the Value of Transparency in RecommenderSystems: An End-User Perspective
Eric Vorm and Andrew Miller
Understanding how to Explain Package Recommendations in the Clothes Domain
Agung T Wibowo, Advaith Siddharthan, Judith Masthoff and Chenghua Lin
Using Visualizations to Encourage Blind-Spot Exploration
Jayachithra Kumar and Nava Tintarev
Online Daters’ Willingness to Use Recommender Technology for Mate Selection Decisions
Stephanie Tong, Elena Corriero, Robert Matheny and Jeffrey Hancock
MovieTweeters: An Interactive Interface to Improve Recommendation Novelty
Ishan Ghanmode and Nava Tintarev
From Recommendation to Curation: When the system becomes your personal docent
Nevena Dragovic, Ion Madrazo Azpiazu and Maria Soledad Pera
Affective Computing and Bandits: Capturing Context in Cold Start Situations
Sebastian Oehme and Linus W. Dietz
Analysis of User Behaviour in Interfaces with Recommended Items: An Eye-tracking Study
Peter Gaspar, Michal Kompan, Jakub Simko and Maria Bielikova

Joint Workshop on Interfaces and Human Decision Making for Recommender Systems