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Who Tags What? An Analysis Framework

Summary: Proposes a dual mining framework for social tagging analysis, using similarity and diversity across users, items, and tags to enable varied analytics. NP-Complete in general; scalable algorithms validated on real data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10579
Venue
VLDB
Year
2012
Pagerank
5.2960616e-05
Overall Rank
9,266 | 36.43%
DOI
10.14778/2350229.2350274

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{das_vldb12,
        title = {{Who Tags What? An Analysis Framework}},
        author = {Das, Mahashweta and Thirumuruganathan, Saravanan and Amer-Yahia, Sihem and Das, Gautam and Yu, Cong},
        journal = {PVLDB},
        series = {{VLDB} '12},
        volume = {5},
        number = {11},
        pages = {1567--1578},
        doi = {10.14778/2350229.2350274},
        url = {https://doi.org/10.14778/2350229.2350274},
        year = {2012}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
6,039 Guided Exploration of User Groups 2020 VLDB 5.9990875e-05
7,222 Hear the Whole Story: Towards the Diversity of Opinion in Crowdsourcing Markets 2015 VLDB 5.6679185e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 3 of 3 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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