Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery.

Xiaopeng Li|Wenlin Zhang|Yingyi Zhang|Pengyue Jia|Yejing Wang|Yichao Wang|Yong Liu|Huifeng Guo|Xiangyu Zhao


Anthology ID:DBLP:conf/sigir/LiZZJWWLGZ26
Volume:Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026
Year:2026
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:3284-3291
URL:https://doi.org/10.1145/3805712.3808609
DOI:https://doi.org/10.1145/3805712.3808609
DBLP:conf/sigir/LiZZJWWLGZ26
BibTeX:
@inproceedings{li-2026-personalized, author = {Xiaopeng Li and Wenlin Zhang and Yingyi Zhang and Pengyue Jia and Yejing Wang and Yichao Wang and Yong Liu and Huifeng Guo and Xiangyu Zhao}, editor = {Hannah Bast and Alistair Moffat and Falk Scholer and Marc Najork and Min Zhang and Hannah Bast and Marc Najork and Min Zhang}, title = {{Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery}}, booktitle = {{Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026}}, pages = {3284--3291}, publisher = {ACM}, year = {2026}, url = {https://doi.org/10.1145/3805712.3808609}, doi = {https://doi.org/10.1145/3805712.3808609} }