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}
}