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)
Incoming Non-self Citations Over Time
Authors
- 1. Mahashweta Das
- 2. Saravanan Thirumuruganathan
- 3. Sihem Amer-Yahia
- 4. Gautam Das
- 5. Cong Yu
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,472 | Guided Exploration of User Groups | 2020 | VLDB | 5.4888146e-05 |
| 7,023 | Hear the Whole Story: Towards the Diversity of Opinion in Crowdsourcing Markets | 2015 | VLDB | 4.8576599e-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.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 34 | Similarity Search in High Dimensions via Hashing | 1999 | VLDB | 0.00076637636 |
| 2,852 | MRI: Meaningful Interpretations of Collaborative Ratings | 2011 | VLDB | 8.0151391e-05 |
| 7,960 | Building Community-Centric Information Exploration Applications on Social Content Sites | 2009 | SIGMOD | 4.613363e-05 |
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