DEXTER: Large-Scale Discovery and Extraction of Product Specifications on the Web
Summary: DEXTER locates product-spec pages with a focused crawler (queries + backlinks) and detects specs via a supervised HTML-fragment classifier. Extraction uses two wrappers: (i) a domain-independent unsupervised wrapper from shared structure, and (ii) a noisy-annotator hybrid; results on 1.46M pages show F≈0.9, precision 0.92, recall 0.95. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Disheng Qiu
- 2. Luciano Barbosa
- 3. Xin Luna Dong
- 4. Yanyan Shen
- 5. Divesh Srivastava
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,255 | Web Record Extraction with Invariants | 2023 | VLDB | 4.3648789e-05 |
| 11,712 | Big Data Linkage for Product Specification Pages | 2018 | SIGMOD | 4.1905499e-05 |
| 11,783 | Building Structured Databases of Factual Knowledge from Massive Text Corpora | 2017 | SIGMOD | 4.1905499e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 14 of 14 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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