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Supporting Keyword Search in Product Database: A Probabilistic Approach

Summary: Proposes a probabilistic, query-generation model for keyword search over structured product specs to bridge vocab gap with user queries. Ranks entities by P(query|entity) using MLE/MAP from specs, reviews, and logs; shows significant gains and enables facet/review annotation. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10665
Venue
VLDB
Year
2013
Pagerank
5.0046315e-05
Overall Rank
6,576 | 54.26%
DOI
-

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Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
3,358 Organizing Data Lakes for Navigation 2020 SIGMOD 7.1784949e-05
11,264 Approximating Probabilistic Group Steiner Trees in Graphs 2023 VLDB 4.1945683e-05
11,930 ConfSeer: Leveraging Customer Support Knowledge Bases for Automated Misconfiguration Detection 2015 VLDB 4.1945683e-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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