CONCIERGE: Improving Constrained Search Results by Data Melioration
Summary: Constrained search with partial data in e-commerce. CONCIERGE identifies a bounded set of items to elicit from sellers to fill missing attributes, boosting the quality of max-utility constraint-satisfying item-sets while keeping elicitation cost low; validated on real VLDB'20 scenarios. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Ido Guy (eBay)
- 2. Tova Milo (Tel Aviv University)
- 3. Slava Novgorodov (eBay)
- 4. Brit Youngmann (Tel Aviv University)
BibTeX Citation
@article{guy_vldb20,
title = {{CONCIERGE: Improving Constrained Search Results by Data Melioration}},
author = {Guy, Ido and Milo, Tova and Novgorodov, Slava and Youngmann, Brit},
journal = {PVLDB},
series = {{VLDB} '20},
volume = {13},
number = {12},
pages = {2865--2868},
doi = {10.14778/3415478.3415495},
url = {https://doi.org/10.14778/3415478.3415495},
year = {2020}
}Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,003 | Guided Exploration of Data Summaries | 2022 | VLDB | 5.7278883e-05 |
| 10,112 | Classifier Construction Under Budget Constraints | 2022 | SIGMOD | 5.1319012e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 78 | ULDBs: Databases with Uncertainty and Lineage | 2006 | VLDB | 0.00036571789 |
| 2,219 | Chimera: Large-Scale Classification using Machine Learning, Rules, and Crowdsourcing | 2014 | VLDB | 8.9303727e-05 |
| 3,904 | QASCA: A Quality-Aware Task Assignment System for Crowdsourcing Applications | 2015 | SIGMOD | 7.0304212e-05 |
| 7,222 | Hear the Whole Story: Towards the Diversity of Opinion in Crowdsourcing Markets | 2015 | VLDB | 5.6679185e-05 |
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