Are We Losing Interest in Context-Aware Recommender Systems?-Reference-Cited by-同舟云学术

Are We Losing Interest in Context-Aware Recommender Systems?

Published:2024-06-27 Issue: Volume: Page:229-230
ISSN:
Container-title:Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization
language:
Short-container-title:

Author:

Rook Laurens¹^ORCID,Zanker Markus²^ORCID,Jannach Dietmar³^ORCID

Affiliation:

1. Delft University of Technology, Netherlands

2. Faculty of Engineering, Free University of Bozen-Bolzano and University of Klagenfurt, Italy and Department of Artificial Intelligence and Cybersecurity, University of Klagenfurt, Austria

3. Department of Artificial Intelligence and Cybersecurity, University of Klagenfurt, Austria

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3631700.3665190

Reference22 articles.

1. Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions

2. Gediminas Adomavicius and Alexander Tuzhilin. 2010. Context-aware recommender systems. In Recommender Systems Handbook. Springer, 217–253.

3. Monya Baker. 2016. 1,500 scientists lift the lid on reproducibility. Nature 533, 7604 (2016).

4. Robin D. Burke. 1999. The Wasabi Personal Shopper: A Case-Based Recommender System. In Proceedings of the Sixteenth National Conference on Artificial Intelligence and Eleventh Conference on Innovative Applications of Artificial Intelligence. 844–849.

5. A Systematic Study on Reproducibility of Reinforcement Learning in Recommendation Systems

Cited by 1 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. Second Workshop on Context Representation in User Modelling;Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization;2024-06-27