- 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: 77-80 - 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: 37-47 - Dietmar Jannach, Ahtsham Manzoor:
End-to-End Learning for Conversational Recommendation: A Long Way to Go? IntRS@RecSys 2020: 72-76 - 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: 65-71 - Sidra Naveed, Jürgen Ziegler:
Featuristic: An interactive hybrid system for generating explainable recommendations - beyond system accuracy. IntRS@RecSys 2020: 14-25 - Dorin Shmaryahu, Guy Shani, Bracha Shapira:
Post-hoc Explanations for Complex Model Recommendations using Simple Methods. IntRS@RecSys 2020: 26-36 - Chun-Hua Tsai, Peter Brusilovsky:
User Feedback in Controllable and Explainable Social Recommender Systems: a Linguistic Analysis. IntRS@RecSys 2020: 1-13 - Chun-Hua Tsai, Jukka Huhtamäki, Thomas Olsson, Peter Brusilovsky:
Diversity Exposure in Social Recommender Systems: A Social Capital Theory Perspective. IntRS@RecSys 2020: 57-64 - 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 [contents] - 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: 55-59 - 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: 72-76 - 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: 77-85 - Sophia Hadash, Yu Liang, Martijn C. Willemsen:
How Playlist Evaluation Compares to Track Evaluations in Music Recommender Systems. IntRS@RecSys 2019: 1-9 - Katja Herrmanny, Simone Löppenberg, Michael Schwarz:
Investigating Mechanisms for User Integration in the Activity Goal Recommendation Process by Interface Design. IntRS@RecSys 2019: 46-54 - 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: 10-18 - Diego Monti, Giuseppe Rizzo, Maurizio Morisio:
Visualizing Ratings in Recommender System Datasets. IntRS@RecSys 2019: 60-64 - Yuri Nakao, Takuya Ohwa, Kotaro Ohori:
Generation of Hints to Overcome Difficulty in Operating Interactive Recommender Systems. IntRS@RecSys 2019: 36-45 - Zachary A. Pardos, Weijie Jiang:
Designing for Serendipity in a University Course Recommendation System. IntRS@RecSys 2019: 19-27 - Toon De Pessemier, Ine Coppens, Luc Martens:
Using Facial Recognition Services as Implicit Feedback for Recommenders. IntRS@RecSys 2019: 28-35 - Alain Starke:
The Effectiveness of Advice Solicitation and Social Peers in an Energy Recommender System. IntRS@RecSys 2019: 65-71 - Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, John O'Donovan, Giovanni Semeraro, Martijn C. Willemsen:
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. CEUR Workshop Proceedings 2450, CEUR-WS.org 2019 [contents] - 2018
- Vicente Dominguez, Pablo Messina, Christoph Trattner, Denis Parra:
Towards Explanations for Visual Recommender Systems of Artistic Images. IntRS@RecSys 2018: 69-73 - Nevena Dragovic, Ion Madrazo Azpiazu, Maria Soledad Pera:
From Recommendation to Curation: When the System Becomes your Personal Docent. IntRS@RecSys 2018: 37-44 - Péter Gáspár, Michal Kompan, Jakub Simko, Mária Bieliková:
Analysis of User Behavior in Interfaces with Recommended Items: An Eye-tracking Study. IntRS@RecSys 2018: 32-36 - Ishan Ghanmode, Nava Tintarev:
MovieTweeters: An Interactive Interface to Improve Recommendation Novelty. IntRS@RecSys 2018: 24-31 - Vikas Kumar, Sabirat Rubya, Joseph A. Konstan, Loren Terveen:
Risk "Attention" or "Adventure": A Qualitative Study of Novelty and Familiarity in Music Listening. IntRS@RecSys 2018: 15-23 - Jayachithra Kumar, Nava Tintarev:
Using Visualizations to Encourage Blind-Spot Exploration. IntRS@RecSys 2018: 53-60 - Feng Lu, Nava Tintarev:
A Diversity Adjusting Strategy with Personality for Music Recommendation. IntRS@RecSys 2018: 7-14 - Sebastian Oehme, Linus W. Dietz:
Affective Computing and Bandits: Capturing Context in Cold Start Situations. IntRS@RecSys 2018: 2-6 - Stephanie Tom Tong, Elena Francesca Corriero, Robert G. Matheny, Jeffrey T. Hancock:
Online Daters' Willingness to Use Recommender Technology for Mate Selection Decisions. IntRS@RecSys 2018: 45-52