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ORCIDIntRS@RecSys 2022: Seattle, WA, USA
- Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, Marco Polignano, Giovanni Semeraro, Martijn C. Willemsen:
Proceedings of the 9th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with 16th ACM Conference on Recommender Systems (RecSys 2022), Hybrid Event, Seattle, US, September 22, 2022. CEUR Workshop Proceedings 3222, CEUR-WS.org 2022
Invited Talk
- Denis Parra:
From User Control and Explainability in Recommendation Interfaces to Visual XAI. 1-2
Cognitive Factors
- Alain Starke, Justyna Sedkowska, Mihir Chouhan, Bruce Ferwerda:
Examining Choice Overload across Single-list and Multi-list User Interfaces. 3-17 - Yuan Ma, Timm Kleemann, Jürgen Ziegler:
Psychological User Characteristics and Meta-Intents in a Conversational Product Advisor. 18-32 - Besnik Gjergjizi, Thi Ngoc Trang Tran, Alexander Felfernig:
The Impacts of Primacy/Recency Effects on Item Review Sentiment Analysis. 33-45 - Annelien Smets, Lien Michiels, Toine Bogers, Lennart Björneborn:
Serendipity in Recommender Systems Beyond the Algorithm: a Feature Repository and Experimental Design. 46-66
Preference Elicitation and Explanations
- Alain Starke, Ayoub El Majjodi, Christoph Trattner:
Boosting Health? Examining the Role of Nutrition Labels and Preference Elicitation Methods in Food Recommendation. 67-84 - Sidra Naveed, Gunnar Stevens, Dean-Robin Kern:
Explainable Robo-Advisors: Empirical Investigations to Specify and Evaluate a User-Centric Taxonomy of Explanations in the Financial Domain. 85-103 - Mouadh Guesmi, Mohamed Amine Chatti, Jaleh Ghorbani-Bavani, Shoeb Ahmed Joarder, Qurat Ul Ain, Rawaa Alatrash:
What if Interactive Explanation in a Scientific Literature Recommender System. 104-121
Interactive Recommendations
- Behnam Rahdari, Peter Brusilovsky:
Simulation-Based Evaluation of Interactive Recommender Systems. 122-136 - Mayumi Ueda, Sayaka Yabe, Da Li, Shinsuke Nakajima:
A Cosmetic Differences Visualization System for Beauty Recommendation using the Scores of Various Evaluation Items. 137-150 - Fan Mo, Tsuneo Matsumoto, Nao Fukushima, Fuyuko Kido, Hayato Yamana:
Decoy Effect of Recommendation Systems on Real E-commerce Websites. 151-163
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