When Large Vision Language Models Meet Multimodal Sequential Recommendation: An Empirical Study.

Peilin Zhou|Chao Liu|Jing Ren|Xinfeng Zhou|Yueqi Xie|Meng Cao|Zhongtao Rao|You-Liang Huang|Dading Chong|Junling Liu|Jae Boum Kim|Shoujin Wang|Raymond Chi-Wing Wong|Sunghun Kim


Anthology ID:DBLP:conf/www/ZhouLRZXCRHCLKW25
Volume:Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025
Year:2025
Venue:The Web Conference (WWW)
Publisher:ACM
Pages:275-292
URL:https://doi.org/10.1145/3696410.3714764
DOI:https://doi.org/10.1145/3696410.3714764
DBLP:conf/www/ZhouLRZXCRHCLKW25
BibTeX:
@inproceedings{zhou-2025-large, author = {Peilin Zhou and Chao Liu and Jing Ren and Xinfeng Zhou and Yueqi Xie and Meng Cao and Zhongtao Rao and You-Liang Huang and Dading Chong and Junling Liu and Jae Boum Kim and Shoujin Wang and Raymond Chi-Wing Wong and Sunghun Kim}, editor = {Guodong Long and Michale Blumestein and Yi Chang and Liane Lewin-Eytan and Zi Huang and Elad Yom-Tov}, title = {{When Large Vision Language Models Meet Multimodal Sequential Recommendation: An Empirical Study}}, booktitle = {{Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025}}, pages = {275--292}, publisher = {ACM}, year = {2025}, url = {https://doi.org/10.1145/3696410.3714764}, doi = {https://doi.org/10.1145/3696410.3714764} }