The 2nd Workshop on Recommendation with Generative Models
<|reference_start|>The 2nd Workshop on Recommendation with Generative Models: The rise of generative models has driven significant advancements in recommender systems, leaving unique opportunities for enhancing users' personalized recommendations. This workshop serves as a platform for researchers to explore and exchange innovative concepts related to the integration of generative models into recommender systems. It primarily focuses on five key perspectives: (i) improving recommender algorithms, (ii) generating personalized content, (iii) evolving the user-system interaction paradigm, (iv) enhancing trustworthiness checks, and (v) refining evaluation methodologies for generative recommendations. With generative models advancing rapidly, an increasing body of research is emerging in these domains, underscoring the timeliness and critical importance of this workshop. The related research will introduce innovative technologies to recommender systems and contribute to fresh challenges in both academia and industry. In the long term, this research direction has the potential to revolutionize the traditional recommender paradigms and foster the development of next-generation recommender systems.<|reference_end|>
@article{wang2024the,
    title={The 2nd Workshop on Recommendation with Generative Models},
    author={Wenjie Wang, Yang Zhang, Xinyu Lin, Fuli Feng, Weiwen Liu, Yong Liu,
  Xiangyu Zhao, Wayne Xin Zhao, Yang Song, Xiangnan He},
    journal={arXiv preprint arXiv:2403.04399},
    year={2024},
    archivePrefix={arXiv},
    eprint={2403.04399},
    primaryClass={cs.IR}
}