AD-WIRE: Add-on for Web Item Reviewing System
Summary: AD-WIRE assists review authoring by recommending top-k meaningful, item- and user-specific tags, reducing the effort of composing detailed product reviews. It visualizes tag dependencies across product aspects, demonstrated for mobile phones, to support informed review writing. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Rajeshkumar Kannapalli (University of Texas)
- 2. Azade Nazi (University of Texas)
- 3. Mahashweta Das (Hewlett Packard Enterprise)
- 4. Gautam Das (University of Texas)
BibTeX Citation
@article{kannapalli_vldb16,
title = {{AD-WIRE: Add-on for Web Item Reviewing System}},
author = {Kannapalli, Rajeshkumar and Nazi, Azade and Das, Mahashweta and Das, Gautam},
journal = {PVLDB},
series = {{VLDB} '16},
volume = {9},
number = {13},
pages = {1593},
doi = {10.14778/3007263.3007317},
url = {https://doi.org/10.14778/3007263.3007317},
year = {2016}
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 13,579 | The TagAdvisor: Luring the Lurkers to Review Web Items | 2015 | SIGMOD | - |
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