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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
8926
Venue
VLDB
Year
2002
Pagerank
4.1945683e-05
Overall Rank
12,660 | 11.93%
DOI
-

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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
7 Optimal Aggregation Algorithms for Middleware [Extended Abstract] 2001 PODS 0.0015496097
864 Storage and Querying of E-Commerce Data 2001 VLDB 0.00015813082
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