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Facet Discovery for Structured Web Search: A Query-log Mining Approach

Summary: Unsupervised facet discovery for structured web search by mining query logs and structured data to select ordered attributes and values. Disambiguation ranges from keyword matching to probabilistic models; scalable evaluation across 1k+ categories with a real-user study. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4380
Venue
SIGMOD
Year
2011
Pagerank
4.9092609e-05
Overall Rank
6,845 | 52.39%
DOI
-

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Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
3,358 Organizing Data Lakes for Navigation 2020 SIGMOD 7.1784949e-05
6,576 Supporting Keyword Search in Product Database: A Probabilistic Approach 2013 VLDB 5.0046315e-05
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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