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ORCIDKaRS@RecSys 2023: Singapore
- Vito Walter Anelli, Pierpaolo Basile, Gerard de Melo, Francesco Maria Donini, Antonio Ferrara, Cataldo Musto, Fedelucio Narducci, Azzurra Ragone, Markus Zanker:
Proceedings of the Fifth Knowledge-aware and Conversational Recommender Systems Workshop co-located with 17th ACM Conference on Recommender Systems (RecSys 2023), Singapore, September 19th, 2023. CEUR Workshop Proceedings 3560, CEUR-WS.org 2023 - Preface. 1-6
Session 1: Conversational RSs
- Chuang Li, Hengchang Hu, Yan Zhang, Min-Yen Kan, Haizhou Li:
A Conversation is Worth A Thousand Recommendations: A Survey of Holistic Conversational Recommendation Systems. 7-20 - Armin Moradi, Golnoosh Farnadi:
Tidying Up the Conversational Recommender Systems' Biases. 21-34 - Oleg Lashinin, Kirill Bykov, Marina Ananyeva, Sergey Kolesnikov:
GPT3RecBot: a universal chatbot recommender of movies, books and music in Telegram. 35-43
Session 2: LLMs for Recommendation
- Mateo Gutierrez Granada, Dina Zilbershtein, Daan Odijk, Francesco Barile:
VideolandGPT: A User Study on a Conversational Recommender System. 44-49 - Smita Nannaware, Erfan Al-Hossami, Razvan C. Bunescu:
Extraction of Atypical Aspects from Customer Reviews: Datasets and Experiments with Language Models. 50-60 - Thomas E. Kolb, Ahmadou Wagne, Mete Sertkan, Julia Neidhardt:
Potentials of Combining Local Knowledge and LLMs for Recommender Systems. 61-64
Session 3: Content-Based and Knowledge-Aware RSs 1
- Adwaita Janardhan Jadhav, Ishmeet Kaur:
The Melodies of an Image: Exploring Music Recommendations Based on an Image's Content and Context. 65-68 - Tommaso Carraro, Alessandro Daniele, Fabio Aiolli, Luciano Serafini:
Mitigating Data Sparsity via Neuro-Symbolic Knowledge Transfer. 69-79 - Theis E. Jendal, Matteo Lissandrini, Peter Dolog, Katja Hose:
GInRec: A Gated Architecture for Inductive Recommendation using Knowledge Graphs. 80-89 - Xin Su, Yao Zhou, Zifei Shan, Qian Chen:
MeKB-Rec: Personal Knowledge Graph Learning for Cross-Domain Recommendation. 90-102
Session 4: Content-Based and Knowledge-Aware RSs 2
- Nourah A. ALRossais:
Warming up From Extreme Cold start Using Stereotypes with Dynamic User and Item Features. 103-108 - Vincenzo Paparella, Alberto Carlo Maria Mancino, Antonio Ferrara, Claudio Pomo, Vito Walter Anelli, Tommaso Di Noia:
Knowledge Graph Datasets for Recommendation. 109-117 - Sungbeom Lee, Bumku Choi, Jungkyu Han, Sejin Chun:
CONREC: Continuous Recommendation of Online Learning Videos Based on Concept Maps. 118-123
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