YASK: A Why-Not Question Answering Engine for Spatial Keyword Query Services
Summary: YASK is a why-not question answering engine for spatial keyword query (SKQ) services, addressing missing top-k results. It delivers explanations via two models—preference adjustment and keyword adaptation—and proposes refined queries to revive missing objects, via a map-based GUI. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Lei Chen
- 2. Jianliang Xu
- 3. Christian S. Jensen
- 4. Yafei Li
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 |
|---|---|---|---|---|
| 487 | Why Not? | 2009 | SIGMOD | 0.00022050218 |
| 648 | Efficient Retrieval of the Top-k Most Relevant Spatial Web Objects | 2009 | VLDB | 0.00018666267 |
| 3,095 | Answering Why-not Questions on Reverse Top-k Queries | 2015 | VLDB | 7.5692859e-05 |
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