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

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Published in:ArXiv cs.IR Recent Papers
Format: Online Article RSS Article
Published: 2026
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spellingShingle Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery
ArXiv cs.IR Recent Papers
Library Science
Library & Information Science
sub_discipline_display Library Science
sub_discipline_facet Library Science
subject_display ArXiv cs.IR Recent Papers
Library Science
Library & Information Science
ArXiv cs.IR Recent Papers
Library Science
Library & Information Science
subject_facet ArXiv cs.IR Recent Papers
Library Science
Library & Information Science
title Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery
title_auth Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery
title_full Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery
title_fullStr Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery
title_full_unstemmed Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery
title_short Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery
title_sort personalized deep research: a user-centric framework, dataset, and hybrid evaluation for knowledge discovery
topic ArXiv cs.IR Recent Papers
Library Science
Library & Information Science
url https://arxiv.org/abs/2605.10530v1