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)
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Authors
- 1. Rakesh Agrawal
- 2. Ramakrishnan Srikant
- 3. Yirong Xu
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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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