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ORCIDIntRS@RecSys 2020: Virtual Event, Brazil
- Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, John O'Donovan, Giovanni Semeraro, Martijn C. Willemsen:
Proceedings of the 7th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with 14th ACM Conference on Recommender Systems (RecSys 2020), Online Event, September 26, 2020. CEUR Workshop Proceedings 2682, CEUR-WS.org 2020
Long Papers
- Chun-Hua Tsai, Peter Brusilovsky:
User Feedback in Controllable and Explainable Social Recommender Systems: a Linguistic Analysis. 1-13 - Sidra Naveed, Jürgen Ziegler:
Featuristic: An interactive hybrid system for generating explainable recommendations - beyond system accuracy. 14-25 - Dorin Shmaryahu, Guy Shani, Bracha Shapira:
Post-hoc Explanations for Complex Model Recommendations using Simple Methods. 26-36 - Andrea Iovine, Fedelucio Narducci, Marco de Gemmis, Marco Polignano, Pierpaolo Basile, Giovanni Semeraro:
A Comparison of Services for Intent and Entity Recognition for Conversational Recommender Systems. 37-47 - Alaa Alslaity, Thomas Tran:
The Effect of Personality Traits on Persuading Recommender System Users. 48-56 - Chun-Hua Tsai, Jukka Huhtamäki, Thomas Olsson, Peter Brusilovsky:
Diversity Exposure in Social Recommender Systems: A Social Capital Theory Perspective. 57-64 - Cataldo Musto, Giuseppe Spillo, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro:
Exploiting Distributional Semantics Models for Natural Language Context-aware Justifications for Recommender Systems. 65-71
Short Papers
- Dietmar Jannach, Ahtsham Manzoor:
End-to-End Learning for Conversational Recommendation: A Long Way to Go? 72-76 - Rohan Bansal, Jordan Olmstead, Uri Bram, Robert Cottrell, Gabriel Reder, Jaan Altosaar:
Recommending Interesting Writing using a Controllable, Explanation-Aware Visual Interface. 77-80
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