![]() ![]() Ache Crawlers instead includes a page classifier which allows it to sort out irrelevant pages of a domain as well as a link classifier which ranks a link by its highest relevance to a topic. What makes ACHE Crawler unique from other crawlers is that other crawlers are focused crawlers that gather Web pages that have specific properties or keywords. The ACHE Crawler is used to gather links and utilizes a learning strategy that increases the collection rate of links as these crawlers continue to search. However, what separated DeepPeep and other search engines is that DeepPeep uses the ACHE crawler, 'Hierarchical Form Identification', 'Context-Aware Form Clustering' and 'LabelEx' to locate, analyze, and organize web forms to allow easy access to users. Similar to Google, Yahoo, and other search engines, DeepPeep allows the users to type in a keyword and returns a list of links and databases with information regarding the keyword. The goal was to make 90% of all It generated worldwide interest. ![]() The project started at the University of Utah and was overseen by Juliana Freire, an associate professor at the university's School of Computing WebDB group. Unlike traditional search engines, which crawl existing webpages and their hyperlinks, DeepPeep aimed to allow access to the so-called Deep web, World Wide Web content only available via for instance typed queries into databases. DeepPeep was a search engine that aimed to crawl and index every database on the public Web. ![]()
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