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)

Paper ID: 5136
Venue: SIGMOD
Year: 2015
Pagerank: -
Overall Rank: 13,579 | 6.84%
DOI: 10.1145/2723372.2749457

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

1. Azade Nazi (University of Texas)
2. Mahashweta Das (Hewlett Packard Enterprise; University of Texas)
3. Gautam Das (University of Texas)

BibTeX Citation

@inproceedings{nazi_sigmod15,
        title = {{The TagAdvisor: Luring the Lurkers to Review Web Items}},
        author = {Nazi, Azade and Das, Mahashweta and Das, Gautam},
        series = {{SIGMOD} '15},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2723372.2749457},
        url = {https://dl.acm.org/doi/10.1145/2723372.2749457},
        year = {2015}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
13,548	AD-WIRE: Add-on for Web Item Reviewing System	2016	VLDB	-

Outgoing Citations (Sorted by Pagerank)

Showing 0 of 0 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank

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