Generative Recommender with End-to-End Learnable Item Tokenization.
Enze Liu|Bowen Zheng|Cheng Ling|Lantao Hu|Han Li|Wayne Xin Zhao
| Anthology ID: | DBLP:conf/sigir/00050LH0Z25 |
|---|---|
| Volume: | Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025 |
| Year: | 2025 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 729-739 |
| URL: | https://doi.org/10.1145/3726302.3729989 |
| DOI: | https://doi.org/10.1145/3726302.3729989 |
| DBLP: | conf/sigir/00050LH0Z25 |
| BibTeX: |
@inproceedings{liu-2025-generative,
author = {Enze Liu and
Bowen Zheng and
Cheng Ling and
Lantao Hu and
Han Li and
Wayne Xin Zhao},
editor = {Nicola Ferro and
Maria Maistro and
Gabriella Pasi and
Omar Alonso and
Andrew Trotman and
Suzan Verberne},
title = {{Generative Recommender with End-to-End Learnable Item Tokenization}},
booktitle = {{Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025}},
pages = {729--739},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3726302.3729989},
doi = {https://doi.org/10.1145/3726302.3729989}
}