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KaRS@RecSys 2022: Seattle, WA, USA
- Vito Walter Anelli, Pierpaolo Basile, Gerard de Melo, Francesco Maria Donini, Antonio Ferrara, Cataldo Musto, Fedelucio Narducci, Azzurra Ragone, Markus Zanker:
Proceedings of the Fourth Knowledge-aware and Conversational Recommender Systems Workshop co-located with 16th ACM Conference on Recommender Systems (RecSys 2022), Seattle, WA, USA, September 22nd, 2022. CEUR Workshop Proceedings 3294, CEUR-WS.org 2022 - Fourth Knowledge-aware and Conversational Recommender Systems Workshop (KaRS 2022). 1-5
Session 1
- Ahtsham Manzoor, Dietmar Jannach:
INFACT: An Online Human Evaluation Framework for Conversational Recommendation. 6-11 - Emmanuel Ayedoun, Satoko Inoue, Hiroshi Takenouchi, Masataka Tokumaru:
Combining IGA and KG for Serendipitous Learning Contents Recommendation. 12-17 - Tzu-Hua Kao, Lea Dahm, Tobias Eichinger:
Are User-Generated Item Reviews Actually Beneficial for Recommendation? 17-22 - Marina Ananyeva, Oleg Lashinin, Maria Kuznetsova:
Revisiting the performance evaluation of knowledge-aware recommender systems: are we making progress? 22-28
Keynote
- Xin Luna Dong:
Next-Generation Intelligent Assistants for AR/VR Devices. KaRS@RecSys 2022
Session 2
- Giovanni Castiglia, Ayoub El Majjodi, Federica Calò, Yashar Deldjoo, Fedelucio Narducci, Alain Starke, Christoph Trattner:
Nudging Towards Health in a Conversational Food Recommender System Using Multi-Modal Interactions and Nutrition Labels. 29-35 - Ruofeng Wen, Wenjun Zeng, Yi Liu:
A Nonparametric Contextual Bandit with Arm-level Eligibility Control for Customer Service Routing. 36-44 - Weizhe Lin, Linjun Shou, Ming Gong, Jian Pei, Zhilin Wang, Bill Byrne, Daxin Jiang:
Combining Unstructured Content and Knowledge Graphs into Recommendation Datasets. 45-52 - Weizhe Lin, Linjun Shou, Ming Gong, Jian Pei, Zhilin Wang, Bill Byrne, Daxin Jiang:
Transformer-Empowered Content-Aware Collaborative Filtering. 53-64
Session 3
- Asim Abbas, Steve Fonin Mbouadeu, Avinash Bisram, Nadeem Iqbal, Fazel Keshtkar, Syed Ahmad Chan Bukhari:
Optimizing Semantic Enrichment of Biomedical Content through Knowledge Sharing. 65-72 - Ahtsham Manzoor, Dietmar Jannach:
INSPIRED2: An Improved Dataset for Sociable Conversational Recommendation. 73-80 - Yuan Ma, Tim Donkers, Timm Kleemann, Jürgen Ziegler:
Meta-Intents in Conversational Recommender Systems. 81-90 - Maria Vlachou, Craig Macdonald:
Performance Predictors for Conversational Fashion Recommendation. 91-100
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