Goal-Oriented Web-site Navigation for On-line Shoppers
Summary: ShopIT demonstrates adaptive navigation guidance for on-line shoppers, proposing effective site paths that match user criteria. Adaptive, provably optimal TOP-K query evaluation algorithms update in real time as user decisions unfold. (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. Daniel Deutch
- 2. Tova Milo
- 3. Tom Yam
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 12,275 | Navigating in Complex Mashed-Up Applications | 2010 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,368 | Querying Business Processes | 2006 | VLDB | 0.00012347323 |
| 1,875 | Verification of Communicating Data-Driven Web Services | 2006 | PODS | 0.00010243508 |
| 2,979 | FlexRecs: Expressing and Combining Flexible Recommendations | 2009 | SIGMOD | 7.7844948e-05 |
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