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IntRS@RecSys
2015
2018
2023
2015
2023
Keyphrases
Publications
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)
Maxwell Szymanski
,
Cristina Conati
,
Vero Vanden Abeele
,
Katrien Verbert
Designing and Personalising Hybrid Multi-Modal Health Explanations for Lay Users.
IntRS@RecSys
(2023)
Ahtsham Manzoor
,
Wanling Cai
,
Dietmar Jannach
Factors Influencing the Perceived Meaningfulness of System Responses in Conversational Recommendation.
IntRS@RecSys
(2023)
Itallo Silva
,
Alan Said
,
Leandro Balby Marinho
,
Martijn C. Willemsen
Leveraging Large Language Models for Recommendation and Explanation.
IntRS@RecSys
(2023)
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)
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)
volume 3534, 2023
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.
IntRS@RecSys
3534 (2023)
2022
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)
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)
Yuan Ma
,
Timm Kleemann
,
Jürgen Ziegler
Psychological User Characteristics and Meta-Intents in a Conversational Product Advisor.
IntRS@RecSys
(2022)
Besnik Gjergjizi
,
Thi Ngoc Trang Tran
,
Alexander Felfernig
The Impacts of Primacy/Recency Effects on Item Review Sentiment Analysis.
IntRS@RecSys
(2022)
Denis Parra
From User Control and Explainability in Recommendation Interfaces to Visual XAI.
IntRS@RecSys
(2022)
Behnam Rahdari
,
Peter Brusilovsky
Simulation-Based Evaluation of Interactive Recommender Systems.
IntRS@RecSys
(2022)
Fan Mo
,
Tsuneo Matsumoto
,
Nao Fukushima
,
Fuyuko Kido
,
Hayato Yamana
Decoy Effect of Recommendation Systems on Real E-commerce Websites.
IntRS@RecSys
(2022)
Alain Starke
,
Justyna Sedkowska
,
Mihir Chouhan
,
Bruce Ferwerda
Examining Choice Overload across Single-list and Multi-list User Interfaces.
IntRS@RecSys
(2022)
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)
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)
Annelien Smets
,
Lien Michiels
,
Toine Bogers
,
Lennart Björneborn
Serendipity in Recommender Systems Beyond the Algorithm: a Feature Repository and Experimental Design.
IntRS@RecSys
(2022)
volume 3222, 2022
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.
IntRS@RecSys
3222 (2022)
2021
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)
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)
Behnam Rahdari
,
Peter Brusilovsky
,
Alireza Javadian Sabet
Controlling Personalized Recommendations in Two Dimensions with a Carousel-Based Interface.
IntRS@RecSys
(2021)
Diana C. Hernandez-Bocanegra
,
Jürgen Ziegler
ConvEx-DS: A Dataset for Conversational Explanations in Recommender Systems.
IntRS@RecSys
(2021)
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)
Anthony Jameson
Group Decision Making and Group Recommender Systems.
IntRS@RecSys
(2021)
Yuan Ma
,
Timm Kleemann
,
Jürgen Ziegler
Mixed-Modality Interaction in Conversational Recommender Systems.
IntRS@RecSys
(2021)
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)
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)
volume 2948, 2021
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.
IntRS@RecSys
2948 (2021)
2020
Chun-Hua Tsai
,
Peter Brusilovsky
User Feedback in Controllable and Explainable Social Recommender Systems: a Linguistic Analysis.
IntRS@RecSys
(2020)
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.
IntRS@RecSys
(2020)
Sidra Naveed
,
Jürgen Ziegler
Featuristic: An interactive hybrid system for generating explainable recommendations - beyond system accuracy.
IntRS@RecSys
(2020)
Dietmar Jannach
,
Ahtsham Manzoor
End-to-End Learning for Conversational Recommendation: A Long Way to Go?
IntRS@RecSys
(2020)
Ala'a Alslaity
,
Thomas Tran
The Effect of Personality Traits on Persuading Recommender System Users.
IntRS@RecSys
(2020)
Cataldo Musto
,
Giuseppe Spillo
,
Marco de Gemmis
,
Pasquale Lops
,
Giovanni Semeraro
Exploiting Distributional Semantics Models for Natural Language Context-aware Justifications for Recommender Systems.
IntRS@RecSys
(2020)
Dorin Shmaryahu
,
Guy Shani
,
Bracha Shapira
Post-hoc Explanations for Complex Model Recommendations using Simple Methods.
IntRS@RecSys
(2020)
Rohan Bansal
,
Jordan Olmstead
,
Uri Bram
,
Robert Cottrell
,
Gabriel Reder
,
Jaan Altosaar
Recommending Interesting Writing using a Controllable, Explanation-Aware Visual Interface.
IntRS@RecSys
(2020)
Chun-Hua Tsai
,
Jukka Huhtamäki
,
Thomas Olsson
,
Peter Brusilovsky
Diversity Exposure in Social Recommender Systems: A Social Capital Theory Perspective.
IntRS@RecSys
(2020)
volume 2682, 2020
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.
IntRS@RecSys
2682 (2020)
2019
Muheeb Faizan Ghori
,
Arman Dehpanah
,
Jonathan Gemmell
,
Hamed Qahri Saremi
,
Bamshad Mobasher
Does the User Have A Theory of the Recommender? A Pilot Study.
IntRS@RecSys
(2019)
Sophia Hadash
,
Yu Liang
,
Martijn C. Willemsen
How Playlist Evaluation Compares to Track Evaluations in Music Recommender Systems.
IntRS@RecSys
(2019)
Hiba Abderrazik
,
Giovan Angela
,
Hans Brouwer
,
Henky Janse
,
Sterre Lutz
,
Gwennan Smitskamp
,
Sandy Manolios
,
Cynthia C. S. Liem
Spotivibes: Tagging Playlist Vibes with Colors.
IntRS@RecSys
(2019)
Martijn Millecamp
,
Sidra Naveed
,
Katrien Verbert
,
Jürgen Ziegler
To Explain or not to Explain: the Effects of Personal Characteristics when Explaining Feature-based Recommendations in Different Domains.
IntRS@RecSys
(2019)
Diego Monti
,
Giuseppe Rizzo
,
Maurizio Morisio
Visualizing Ratings in Recommender System Datasets.
IntRS@RecSys
(2019)
Katja Herrmanny
,
Simone Löppenberg
,
Michael Schwarz
Investigating Mechanisms for User Integration in the Activity Goal Recommendation Process by Interface Design.
IntRS@RecSys
(2019)
Alain Starke
The Effectiveness of Advice Solicitation and Social Peers in an Energy Recommender System.
IntRS@RecSys
(2019)
Luca Luciano Costanzo
,
Yashar Deldjoo
,
Maurizio Ferrari Dacrema
,
Markus Schedl
,
Paolo Cremonesi
Towards Evaluating User Profiling Methods Based on Explicit Ratings on Item Features.
IntRS@RecSys
(2019)
Zachary A. Pardos
,
Weijie Jiang
Designing for Serendipity in a University Course Recommendation System.
IntRS@RecSys
(2019)
Toon De Pessemier
,
Ine Coppens
,
Luc Martens
Using Facial Recognition Services as Implicit Feedback for Recommenders.
IntRS@RecSys
(2019)
volume 2450, 2019
Proceedings of the 6th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with 13th ACM Conference on Recommender Systems(RecSys 2019), Copenhagen, Denmark, September 19, 2019.
IntRS@RecSys
2450 (2019)