Generating Exact- and Ranked Partially-Matched Answers to Questions in Advertisements
Summary: CQAds is a closed-domain ads QA mapping NL questions to SQL via context-switching plus a simple Boolean model for explicit/implicit queries. Returns exact and partial matches by similarity; uses NB, trie spelling correction, and substring pruning. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Rani Qumsiyeh
- 2. Maria S. Pera
- 3. Yiu-Kai Ng
Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
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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 |
|---|---|---|---|---|
| 707 | Foundations of Preferences in Database Systems | 2002 | VLDB | 0.00017782998 |
| 1,258 | Ordering the Attributes of Query Results | 2006 | SIGMOD | 0.00013013676 |
| 5,599 | Answering Imprecise Queries over Web Databases | 2005 | VLDB | 5.4160529e-05 |
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