Author:
Musto Cataldo,Martina Alessandro Francesco Maria,Iovine Andrea,Narducci Fedelucio,de Gemmis Marco,Semeraro Giovanni
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Information Systems,Software
Reference51 articles.
1. Alabdulkareem, F., Cercone, N., & Liaskos, S. (2015). Goal and preference identification through natural language. In: 2015 IEEE 23rd international requirements engineering conference (RE), IEEE, pp. 56–65. https://doi.org/10.1109/re.2015.7320408
2. Alqahtani, F., Meier, S., & Orji, R. (2022). Personality-based approach for tailoring persuasive mental health applications. UMUAI, 32(3), 253–295. https://doi.org/10.1007/s11257-021-09289-5
3. Basile, P., Musto, C., de Gemmis, M., & et al. (2014). Content-based recommender systems+ DBpedia knowledge= semantics-aware recommender systems. In: Semantic web evaluation challenge. Springer, pp. 163–169. https://doi.org/10.1007/978-3-319-12024-9_21
4. Bogers, T., & Koolen, M. (2017). Defining and supporting narrative-driven recommendation. In: RecSys ’17. ACM, pp. 238–242, https://doi.org/10.1145/3109859.3109893
5. Bogers, T., & Koolen, M. (2018). "I’m looking for something like ...": Combining narratives and example items for narrative-driven book recommendation. In: Anelli, V. W., Noia, T. D., Lops, P., & et al. (eds.) Proceedings of the workshop on knowledge-aware and conversational recommender systems 2018 co-located with 12th ACM Conference on recommender systems, KaRS@RecSys 2018, Vancouver, Canada, October 7, 2018, CEUR Workshop Proceedings, vol. 2290. CEUR-WS.org, pp. 35–43, https://ceur-ws.org/Vol-2290/kars2018_paper7.pdf
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. LLM-generated Explanations for Recommender Systems;Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization;2024-06-27
2. Improving Recommender Systems with Large Language Models;Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization;2024-06-27