A Method of Re-ranking Web Search Results Using their Hidden Hyperlink Structure

Summary: Re-ranks Web search results by mining hidden pages within a few hyperlink hops, clustering their content, and shifting each result’s feature vector toward cluster centroids. Experiments show improved retrieval over Google and conventional tf-idf, highlighting link-neighborhood context as a ranking signal. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID: 9144
Venue: VLDB
Year: 2002
Pagerank: -
Overall Rank: 14,009 | 3.89%
DOI: -

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Authors

1. Kazunari Sugiyama (Nara Institute of Science and Technology)

BibTeX Citation

@article{sugiyama_vldb02,
        title = {{A Method of Re-ranking Web Search Results Using their Hidden Hyperlink Structure}},
        author = {Sugiyama, Kazunari},
        journal = {PVLDB},
        series = {{VLDB} '02},
        year = {2002}
}

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