The TagAdvisor: Luring the Lurkers to Review Web Items
Summary: TagAdvisor identifies top-k meaningful tags to lure lurkers into writing reviews, optimizing relevance, coverage, and polarity. Forms two NP-hard instances with practical algorithms and provable bounds; evaluated on synthetic and real web data. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Azade Nazi
- 2. Mahashweta Das
- 3. Gautam Das
Incoming Citations (Sorted by Pagerank)
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| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 13,360 | AD-WIRE: Add-on for Web Item Reviewing System | 2016 | VLDB | - |
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