Leveraging Memory Retrieval to Enhance LLM-based Generative Recommendation.
Chengbing Wang|Yang Zhang|Fengbin Zhu|Jizhi Zhang|Tianhao Shi|Fuli Feng
| Anthology ID: | DBLP:conf/www/WangZZZSF25 |
|---|---|
| Volume: | Companion 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: | 1346-1350 |
| URL: | https://doi.org/10.1145/3701716.3715596 |
| DOI: | https://doi.org/10.1145/3701716.3715596 |
| DBLP: | conf/www/WangZZZSF25 |
| BibTeX: |
@inproceedings{wang-2025-leveraging,
author = {Chengbing Wang and
Yang Zhang and
Fengbin Zhu and
Jizhi Zhang and
Tianhao Shi and
Fuli Feng},
editor = {Guodong Long and
Michale Blumestein and
Yi Chang and
Liane Lewin-Eytan and
Zi Huang and
Elad Yom-Tov},
title = {{Leveraging Memory Retrieval to Enhance LLM-based Generative Recommendation}},
booktitle = {{Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025}},
pages = {1346--1350},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3701716.3715596},
doi = {https://doi.org/10.1145/3701716.3715596}
}