Program

9.00-9.10 Opening   

9.10-10.10 Invited Talk: Katrien Verbert, Mixed-initiative Recommender Systems: Towards a Next Generation of Recommender Systems through User Involvement

Session 1: Affective Factors

10.10-10.30: Sebastian Oehme and Linus W. Dietz, Affective Computing and Bandits: Capturing Context in Cold Start Situations 

10.30-11.00 Coffee Break

Session 2: Novelty and Diversity  

11.00-11.30 Feng Lu and Nava Tintarev, A Diversity Adjusting Strategy with Personality for Music Recommendation 

11.30-12.00 Vikas Kumar, Sabirat Rubya, Joseph Konstan and Loren Terveen, Risk “attention” or “adventure”: A Qualitative Study of Novelty and Familiarity in Music Listening

12.00-12.30 Ishan Ghanmode and Nava Tintarev, MovieTweeters: An Interactive Interface to Improve Recommendation Novelty

12.30-14.00 Lunch Break

Session 3: Decision Making and Visualizations 

14.00-14.20 Peter Gaspar, Michal Kompan, Jakub Simko and Maria Bielikova, Analysis of User Behavior in Interfaces with Recommended Items: An Eye-tracking Study 

14.20-14.40 Nevena Dragovic, Ion Madrazo Azpiazu and Maria Soledad Pera, From Recommendation to Curation: When the system becomes your personal docent  

14.40-15.00 Stephanie Tong, Elena Corriero, Robert Matheny and Jeffrey Hancock, Online Daters’ Willingness to Use Recommender Technology for Mate Selection Decisions 

15.00-15:30 Jayachithra Kumar and Nava Tintarev, Using Visualizations to Encourage Blind-Spot Exploration 

15.30-16.00 Coffee Break

Session 4: Transparency and Explanations 

16.00-16.30 Eric Vorm and Andrew Miller, Assessing the Value of Transparency in Recommender Systems: An End-User Perspective   

16.30-16.50 Vicente Domínguez, Pablo Messina, Christoph Trattner and Denis Parra, Towards Explanations for Visual Recommender Systems of Artistic Images  

16.50-17.10 Saed Amal, Explainable Social Recommendation with Heterogeneous Entity-Based Network Using 2D Graph and Word Cloud Visualization techniques (Demo)

 17.10-17.30 Discussion/Workshop Closing

Video presentation of the paper:
Agung T Wibowo, Advaith Siddharthan, Judith Masthoff and Chenghua Lin, Understanding how to Explain Package Recommendations in the Clothes Domain

Annunci