Personalized Systems: Models and Methods from an IR and DB perspective
Summary: Tutorial bridges IR and DB perspectives on personalization, unifying filtering, recommendation, continuous queries, and personalized search with preference-based user models. It highlights profiling techniques and cross-disciplinary transfer challenges. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Yannis Ioannidis (University of Athens)
- 2. Georgia Koutrika (University of Athens)
BibTeX Citation
@article{ioannidis_vldb05,
title = {{Personalized Systems: Models and Methods from an IR and DB perspective}},
author = {Ioannidis, Yannis and Koutrika, Georgia},
journal = {PVLDB},
series = {{VLDB} '05},
pages = {1365--1366},
year = {2005}
}
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