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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)

Paper ID
11323
Venue
VLDB
Year
2015
Pagerank
5.5165897e-05
Overall Rank
7,969 | 45.33%
DOI
10.14778/2831360.2831369

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{qiu_vldb15,
        title = {{DEXTER: Large-Scale Discovery and Extraction of Product Specifications on the Web}},
        author = {Qiu, Disheng and Barbosa, Luciano and Dong, Xin Luna and Shen, Yanyan and Srivastava, Divesh},
        journal = {PVLDB},
        series = {{VLDB} '15},
        volume = {8},
        number = {13},
        pages = {2194--2205},
        doi = {10.14778/2831360.2831369},
        url = {https://doi.org/10.14778/2831360.2831369},
        year = {2015}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
9,395 Web Record Extraction with Invariants 2023 VLDB 5.2755515e-05
11,911 Big Data Linkage for Product Specification Pages 2018 SIGMOD 5.093636e-05
11,980 Building Structured Databases of Factual Knowledge from Massive Text Corpora 2017 SIGMOD 5.093636e-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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