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ORCIDKaRS/ComplexRec@RecSys 2021: Amsterdam, The Netherlands
- Vito Walter Anelli, Pierpaolo Basile, Tommaso Di Noia, Francesco Maria Donini, Cataldo Musto, Fedelucio Narducci, Markus Zanker, Himan Abdollahpouri, Toine Bogers, Bamshad Mobasher, Casper Petersen, Maria Soledad Pera:
Joint Workshop Proceedings of the 3rd Edition of Knowledge-aware and Conversational Recommender Systems (KaRS) and the 5th Edition of Recommendation in Complex Environments (ComplexRec) co-located with 15th ACM Conference on Recommender Systems (RecSys 2021), Virtual Event, Amsterdam, The Netherlands, September 25, 2021. CEUR Workshop Proceedings 2960, CEUR-WS.org 2021
Keynote 1
- Edward C. Malthouse:
Toward the Next Generation of News Recommender Systems (Abstract).
Session 1
- Sunghyun Kim, Minje Jang, Changho Suh:
Group Match Prediction via Neural Networks (Long paper). - Tobias Eichinger:
Reviews Are Gold!? On the Link between Item Reviews and Item Preferences (Long paper).
Session 2
- Andrés Segura-Tinoco, Iván Cantador:
On the Extraction and Use of Arguments in Recommender Systems: A Case Study in the E-participation Domain (Long paper). - Mathias Uta, Alexander Felfernig, Denis Helic:
Constraint-Aware Recommendation of Complex Items (Long paper). - Juri Di Rocco, Davide Di Ruscio, Claudio Di Sipio, Phuong Thanh Nguyen, Claudio Pomo:
On the Need for a Body of Knowledge on Recommender Systems (Short paper).
Session 3
- Iustina Ivanova, Marina Andric, Francesco Ricci:
Knowledge-Based Recommendations for Climbers (Short paper). - Dongding Lin, Jian Wang, Wenjie Li:
Target-guided Knowledge-aware Recommendation Dialogue System: An Empirical Investigation (Long paper). - Nicholas Dingwall, Vianne R. Gao:
Enhancing Gazetteers for Named Entity Recognition in Conversational Recommender Systems (Long paper).
Keynote 2
- Gerard de Melo:
How Can I Help You? Knowledge Graphs for Explainable Recommendation (Abstract).
Session 4
- Alain D. Starke, Minha Lee:
Voicing Concerns: User-Specific Pitfalls of Favoring Voice over Text in Conversational Recommender Systems (Short paper). - Giovanni Maria Biancofiore, Tommaso Di Noia, Eugenio Di Sciascio, Fedelucio Narducci, Paolo Pastore:
GUApp: a Knowledge-aware Conversational Agent for Job Recommendation (Short paper).
Session 5
- Vito Walter Anelli, Alejandro Bellogín, Tommaso Di Noia, Francesco Maria Donini, Vincenzo Paparella, Claudio Pomo:
Adherence and Constancy in LIME-RS Explanations for Recommendation (Long paper). - Giandomenico Cornacchia, Fedelucio Narducci, Azzurra Ragone:
A General Model for Fair and Explainable Recommendation in the Loan Domain (Short paper). - Gabriele Sottocornola, Sanja Baric, Fabio Stella, Markus Zanker:
Case Study on the Development of a Recommender for Apple Disease Diagnosis with a Knowledge-based Bayesian Network (Long paper). - Patrik Dokoupil, Ladislav Peska:
LiGAN: Recommending Artificial Fillers for Police Photo Lineups (Short paper). - Paolo Pastore, Andrea Iovine, Fedelucio Narducci, Giovanni Semeraro:
A General Aspect-Term-Extraction Model for Multi-Criteria Recommendations (Long paper). - Ismail Harrando, Raphaël Troncy:
Improving Media Content Recommendation with Automatic Annotations (Long paper). - François Mentec, Zoltán Miklós, Sebastien Hervieu, Thierry Roger:
Conversational Recommendations for Job Recruiters (Long paper).
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