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Publication search results
found 96 matches
- 2023
- Sebastian Lubos, Thi Ngoc Trang Tran, Seda Polat Erdeniz, Merfat El Mansi, Alexander Felfernig, Manfred Wundara, Gerhard Leitner:
Concentrating on the Impact: Consequence-based Explanations in Recommender Systems. IntRS@RecSys 2023: 63-73 - Ayoub El Majjodi, Alain D. Starke, Mehdi Elahi, Christoph Trattner:
The Interplay between Food Knowledge, Nudges, and Preference Elicitation Methods Determines the Evaluation of a Recipe Recommender System. IntRS@RecSys 2023: 1-18 - Ahtsham Manzoor, Wanling Cai, Dietmar Jannach:
Factors Influencing the Perceived Meaningfulness of System Responses in Conversational Recommendation. IntRS@RecSys 2023: 19-34 - Itallo Silva, Alan Said, Leandro Balby Marinho, Martijn C. Willemsen:
Leveraging Large Language Models for Recommendation and Explanation. IntRS@RecSys 2023: 74-81 - Alain D. Starke, Kimia Emami, Andrea Makarová, Bruce Ferwerda:
Using Visual and Linguistic Framing to Support Sustainable Decisions in an Online Store. IntRS@RecSys 2023: 53-62 - Maxwell Szymanski, Cristina Conati, Vero Vanden Abeele, Katrien Verbert:
Designing and Personalising Hybrid Multi-Modal Health Explanations for Lay Users. IntRS@RecSys 2023: 35-52 - Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, Marco Polignano, Giovanni Semeraro, Martijn C. Willemsen:
Proceedings of the 10th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS 2023) co-located with 17th ACM Conference on Recommender Systems (RecSys 2023), Hybrid Event, Singapore, September 18, 2023. CEUR Workshop Proceedings 3534, CEUR-WS.org 2023 [contents] - 2022
- Besnik Gjergjizi, Thi Ngoc Trang Tran, Alexander Felfernig:
The Impacts of Primacy/Recency Effects on Item Review Sentiment Analysis. IntRS@RecSys 2022: 33-45 - 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. IntRS@RecSys 2022: 104-121 - Yuan Ma, Timm Kleemann, Jürgen Ziegler:
Psychological User Characteristics and Meta-Intents in a Conversational Product Advisor. IntRS@RecSys 2022: 18-32 - Fan Mo, Tsuneo Matsumoto, Nao Fukushima, Fuyuko Kido, Hayato Yamana:
Decoy Effect of Recommendation Systems on Real E-commerce Websites. IntRS@RecSys 2022: 151-163 - 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. IntRS@RecSys 2022: 85-103 - Denis Parra:
From User Control and Explainability in Recommendation Interfaces to Visual XAI. IntRS@RecSys 2022: 1-2 - Behnam Rahdari, Peter Brusilovsky:
Simulation-Based Evaluation of Interactive Recommender Systems. IntRS@RecSys 2022: 122-136 - Annelien Smets, Lien Michiels, Toine Bogers, Lennart Björneborn:
Serendipity in Recommender Systems Beyond the Algorithm: a Feature Repository and Experimental Design. IntRS@RecSys 2022: 46-66 - Alain Starke, Ayoub El Majjodi, Christoph Trattner:
Boosting Health? Examining the Role of Nutrition Labels and Preference Elicitation Methods in Food Recommendation. IntRS@RecSys 2022: 67-84 - Alain Starke, Justyna Sedkowska, Mihir Chouhan, Bruce Ferwerda:
Examining Choice Overload across Single-list and Multi-list User Interfaces. IntRS@RecSys 2022: 3-17 - Mayumi Ueda, Sayaka Yabe, Da Li, Shinsuke Nakajima:
A Cosmetic Differences Visualization System for Beauty Recommendation using the Scores of Various Evaluation Items. IntRS@RecSys 2022: 137-150 - 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 [contents] - 2021
- Muheeb Faizan Ghori, Arman Dehpanah, Jonathan Gemmell, Hamed Qahri-Saremi, Bamshad Mobasher:
How does the User's Knowledge of the Recommender Influence their Behavior? IntRS@RecSys 2021: 38-54 - Mouadh Guesmi, Mohamed Amine Chatti, Laura Vorgerd, Shoeb Ahmed Joarder, Qurat Ul Ain, Thao Ngo, Shadi Zumor, Yiqi Sun, Fangzheng Ji, Arham Muslim:
Input or Output: Effects of Explanation Focus on the Perception of Explainable Recommendation with Varying Level of Details. IntRS@RecSys 2021: 55-72 - Diana C. Hernandez-Bocanegra, Jürgen Ziegler:
ConvEx-DS: A Dataset for Conversational Explanations in Recommender Systems. IntRS@RecSys 2021: 3-20 - Anthony Jameson:
Group Decision Making and Group Recommender Systems. IntRS@RecSys 2021: 1-2 - Yuan Ma, Timm Kleemann, Jürgen Ziegler:
Mixed-Modality Interaction in Conversational Recommender Systems. IntRS@RecSys 2021: 21-37 - Martijn Millecamp, Toon Willemot, Katrien Verbert:
Your Eyes Explain Everything: Exploring the Use of Eye Tracking to Provide Explanations On-the-fly. IntRS@RecSys 2021: 89-100 - Erasmo Purificato, Baalakrishnan Aiyer Manikandan, Prasanth Vaidya Karanam, Mahantesh Vishvanath Pattadkal, Ernesto William De Luca:
Evaluating Explainable Interfaces for a Knowledge Graph-Based Recommender System. IntRS@RecSys 2021: 73-88 - Behnam Rahdari, Peter Brusilovsky, Alireza Javadian Sabet:
Controlling Personalized Recommendations in Two Dimensions with a Carousel-Based Interface. IntRS@RecSys 2021: 112-122 - Thi Ngoc Trang Tran, Carmen Isabella Baumann, Alexander Felfernig, Viet Man Le:
The Immunity of Users' Item Selection from Serial Position Effects in Multi-Attribute Item Recommendation Scenarios. IntRS@RecSys 2021: 101-111 - Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Elisabeth Lex, Pasquale Lops, Giovanni Semeraro, Martijn C. Willemsen:
Proceedings of the 8th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with 15th ACM Conference on Recommender Systems (RecSys 2021), Online Event, September 25 and September 29, 2021. CEUR Workshop Proceedings 2948, CEUR-WS.org 2021 [contents] - 2020
- Alaa Alslaity, Thomas Tran:
The Effect of Personality Traits on Persuading Recommender System Users. IntRS@RecSys 2020: 48-56
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