Personalizing XML Text Search in PIMeNT
Summary: PIMeNT personalizes full-text search over XML by incorporating user profiles. Its architecture combines profile-driven query rewriting with answer ranking to tailor structurally and textually complex query results. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Sihem Amer-Yahia (AT&T)
- 2. Irini Fundulaki (Bell Labs)
- 3. Prateek Jain (Bell Labs; Indian Institute of Technology Kanpur)
- 4. Laks Lakshmanan (University of British Columbia)
BibTeX Citation
@article{ameryahia_vldb05,
title = {{Personalizing XML Text Search in PIMeNT}},
author = {Amer-Yahia, Sihem and Fundulaki, Irini and Jain, Prateek and Lakshmanan, Laks},
journal = {PVLDB},
series = {{VLDB} '05},
year = {2005}
}
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