The 1st International Workshop on Risks, Opportunities, and Evaluation of Generative Models in Recommendation (ROEGEN)
We present an overview of a workshop focused on the exploration of generative models within recommender systems (RS). It highlights the dual nature of these technologies: on the one hand, they offer groundbreaking opportunities for enhancing RS through improved personalization, innovative content creation, and interactive user experiences; on the other hand, they introduce a range of challenges, including bias, misinformation, privacy concerns, and environmental impact.
Authors
- Yashar Deldjoo (ORCID: https://orcid.org/0000-0002-6767-358X)
- Julian McAuley (ORCID: https://orcid.org/0000-0003-0955-7588)
- Scott Sanner (ORCID: https://orcid.org/0000-0001-7984-8394)
- Enrico Palumbo (ORCID: https://orcid.org/0000-0003-3898-7480)
- Pablo Castells (ORCID: https://orcid.org/0000-0003-0668-6317)
- Shuai Zhang (ORCID: https://orcid.org/0000-0002-7866-4611)
Institutions
- Amazon (United States) (US)
- University of Toronto (CA)
- University of California San Diego (US)
- Polytechnic University of Bari (IT)
Publication Details
- Published
- 2024-10-08
- DOI
- https://doi.org/10.1145/3640457.3687112
- Primary Topic
- Recommender Systems and Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00