AgentCF++: Memory-enhanced LLM-based Agents for Popularity-aware Cross-domain Recommendations.

Jiahao Liu|Shengkang Gu|Dongsheng Li|Guangping Zhang|Mingzhe Han|Hansu Gu|Peng Zhang|Tun Lu|Li Shang|Ning Gu


Anthology ID:DBLP:conf/sigir/LiuG0ZHGZLSG25
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:2566-2571
URL:https://doi.org/10.1145/3726302.3730161
DOI:https://doi.org/10.1145/3726302.3730161
DBLP:conf/sigir/LiuG0ZHGZLSG25
BibTeX:
@inproceedings{liu-2025-agentcf, author = {Jiahao Liu and Shengkang Gu and Dongsheng Li and Guangping Zhang and Mingzhe Han and Hansu Gu and Peng Zhang and Tun Lu and Li Shang and Ning Gu}, editor = {Nicola Ferro and Maria Maistro and Gabriella Pasi and Omar Alonso and Andrew Trotman and Suzan Verberne}, title = {{AgentCF++: Memory-enhanced LLM-based Agents for Popularity-aware Cross-domain Recommendations}}, 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 = {2566--2571}, publisher = {ACM}, year = {2025}, url = {https://doi.org/10.1145/3726302.3730161}, doi = {https://doi.org/10.1145/3726302.3730161} }