Goal-oriented web-site navigation for on-line shoppers

Daniel Deutch, Tova Milo, Tom Yam

Research output: Contribution to journalArticlepeer-review

4 Scopus citations


Web-sites for on-line shopping typically offer a vast number of product options and combinations thereof. While this is very useful, it often makes the navigation in the site and the identification of the "ideal" purchase (where the notion of ideal differs among users) a confusing, non-trivial experience. This demonstration presents ShopIT (ShoppIng assitanT), a system that assists on-line shoppers by suggesting the most effective navigation paths for their specified criteria and preferences. The suggestions are continually adapted to choices/decisions taken by the users while navigating. ShopITis based on a set of novel, adaptive, provably optimal algorithmsfor TOP-K query evaluation.

Original languageEnglish
Pages (from-to)1642-1645
Number of pages4
JournalProceedings of the VLDB Endowment
Issue number2
StatePublished - 1 Jan 2009
Externally publishedYes

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • General Computer Science


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