Database Technologies for Electronic Commerce

Summary: Three DB techs for e-commerce: Google-style nameless queries with numeric-attribute mapping; high-dimensional sparse product data; cross-catalog fusion into a master catalog. Introduces dataset non-reflectivity for numeric-attribute mapping and nearest-neighbor retrieval; validated on Pangea (2M components, 200k data-sheets, 2k categories). (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 8927
Venue: VLDB
Year: 2002
Pagerank: 4.1905499e-05
Overall Rank: 12,669 | 11.95%
DOI: -

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Rank	Citing Paper	Year	Venue	Pagerank

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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
8	Optimal Aggregation Algorithms for Middleware [Extended Abstract]	2001	PODS	0.0015436578
860	Storage and Querying of E-Commerce Data	2001	VLDB	0.00015804018

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