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An Efficient Publish/Subscribe Index for E-Commerce Databases

Summary: Efficient in-memory pub/sub index for high-dimensional, sparse e-commerce data; scales with subscriptions, event rate, and attribute variety. Extensible to prefix/suffix filtering and regex; achieves orders-of-magnitude faster construction, low memory, and efficient matching on AOL and Ebay datasets. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10939
Venue
VLDB
Year
2014
Pagerank
4.8701339e-05
Overall Rank
6,992 | 51.36%
DOI
-

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