DeepPeep was a search engine that aimed to crawl and index every database on the public Web.
[6][7] The project ran a beta search engine and was sponsored by the University of Utah and a $243,000 grant from the National Science Foundation.
The search engine uses context-aware clustering to group similar links in the same domain by modeling the web form into sets of hyperlinks and using its context for comparison.
[14] When the search results pop up after the user has input their keyword, DeepPeep ranks the links based on 3 features: term content, number of backlinks.
Pagerank and back link information are obtained from outside sources such as Google, Yahoo, and Bing.
[14] DeepPeep Beta was launched and only covered seven domains: auto, airfare, biology, book, hotel, job, and rental.