Abstract is missing.
- Preface1-6 [doi]
- A Conversation is Worth A Thousand Recommendations: A Survey of Holistic Conversational Recommendation SystemsChuang Li, Hengchang Hu, Yan Zhang, Min-Yen Kan, Haizhou Li 0001. 7-20 [doi]
- Tidying Up the Conversational Recommender Systems' BiasesArmin Moradi, Golnoosh Farnadi. 21-34 [doi]
- GPT3RecBot: a universal chatbot recommender of movies, books and music in TelegramOleg Lashinin, Kirill Bykov, Marina Ananyeva, Sergey Kolesnikov. 35-43 [doi]
- VideolandGPT: A User Study on a Conversational Recommender SystemMateo Gutierrez Granada, Dina Zilbershtein, Daan Odijk, Francesco Barile. 44-49 [doi]
- Extraction of Atypical Aspects from Customer Reviews: Datasets and Experiments with Language ModelsSmita Nannaware, Erfan Al-Hossami, Razvan Bunescu. 50-60 [doi]
- Potentials of Combining Local Knowledge and LLMs for Recommender SystemsThomas E. Kolb, Ahmadou Wagne, Mete Sertkan, Julia Neidhardt. 61-64 [doi]
- The Melodies of an Image: Exploring Music Recommendations Based on an Image's Content and ContextAdwaita Janardhan Jadhav, Ishmeet Kaur. 65-68 [doi]
- Mitigating Data Sparsity via Neuro-Symbolic Knowledge TransferTommaso Carraro, Alessandro Daniele, Fabio Aiolli, Luciano Serafini. 69-79 [doi]
- GInRec: A Gated Architecture for Inductive Recommendation using Knowledge GraphsTheis E. Jendal, Matteo Lissandrini, Peter Dolog, Katja Hose. 80-89 [doi]
- MeKB-Rec: Personal Knowledge Graph Learning for Cross-Domain RecommendationXin Su, Yao Zhou, Zifei Shan, Qian Chen. 90-102 [doi]
- Warming up From Extreme Cold start Using Stereotypes with Dynamic User and Item FeaturesNourah A. ALRossais. 103-108 [doi]
- Knowledge Graph Datasets for RecommendationVincenzo Paparella, Alberto Carlo Maria Mancino, Antonio Ferrara, Claudio Pomo, Vito Walter Anelli, Tommaso Di Noia. 109-117 [doi]
- CONREC: Continuous Recommendation of Online Learning Videos Based on Concept MapsSungbeom Lee, Bumku Choi, Jungkyu Han, Sejin Chun. 118-123 [doi]