User-LLM: Efficient LLM Contextualization with User Embeddings.

Lin Ning|Luyang Liu|Jiaxing Wu|Neo Wu|Devora Berlowitz|Sushant Prakash|Bradley Green|Shawn O'Banion|Jun Xie


Anthology ID:DBLP:conf/www/0001LWWBPGOX25
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:1219-1223
URL:https://doi.org/10.1145/3701716.3715463
DOI:https://doi.org/10.1145/3701716.3715463
DBLP:conf/www/0001LWWBPGOX25
BibTeX:
@inproceedings{ning-2025-userllm, author = {Lin Ning and Luyang Liu and Jiaxing Wu and Neo Wu and Devora Berlowitz and Sushant Prakash and Bradley Green and Shawn O'Banion and Jun Xie}, editor = {Guodong Long and Michale Blumestein and Yi Chang and Liane Lewin-Eytan and Zi Huang and Elad Yom-Tov}, title = {{User-LLM: Efficient LLM Contextualization with User Embeddings}}, booktitle = {{Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025}}, pages = {1219--1223}, publisher = {ACM}, year = {2025}, url = {https://doi.org/10.1145/3701716.3715463}, doi = {https://doi.org/10.1145/3701716.3715463} }