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Automatic ontology-based User Profile Learning from heterogeneous Web Resources in a Big Data Context

Summary: Ontology-driven automatic learning of per-user profiles from heterogeneous Web and industrial big-data resources. Models rich attribute relationships and uncertainty to map users to high-value audience segments for targeted advertising. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
10817
Venue
VLDB
Year
2013
Pagerank
-
Overall Rank
13,654 | 6.33%
DOI
10.14778/2536274.2536330

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BibTeX Citation

@article{hoppe_vldb13,
        title = {{Automatic ontology-based User Profile Learning from heterogeneous Web Resources in a Big Data Context}},
        author = {Hoppe, Anett},
        journal = {PVLDB},
        series = {{VLDB} '13},
        volume = {6},
        number = {12},
        pages = {1428--1433},
        doi = {10.14778/2536274.2536330},
        url = {https://doi.org/10.14778/2536274.2536330},
        year = {2013}
}

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