Hilltop algorithm
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The Hilltop algorithm is a link-analysis algorithm used to identify and rank web documents relevant to specific keyword topics. Developed by Krishna Bharat while at Compaq Systems Research Center and George A. Mihăilă at the University of Toronto,[1] the algorithm was acquired by Google in February 2003 to enhance its search result frameworks.[2]
Algorithm mechanics
Hilltop operates by establishing a structural distinction between two types of web pages, adapting the concepts of "hubs" and "authorities" introduced in Jon Kleinberg's HITS algorithm:[3]
- Expert documents: Pages dedicated to a specific topic that maintain descriptive hyperlinks pointing to numerous independent, non-affiliated websites. The original implementation relied on independent web directories with categorized topical links.[4]
- Authority documents: Target pages that are frequently linked to by multiple independent expert documents, which serves as a metric for tracking search authority and thematic visibility.[4][5]
When processing a query, Hilltop searches its specialized index of expert documents to identify pages relevant to the keyword. It then ranks the corresponding target authority pages based on the match quality between the query terms and the descriptive anchor text of the backlinks pointing to them from those expert pages.[4][6]
See also
References
- ^ "Hilltop: A Search Engine based on Expert Documents". 2002.
- ^ Grehan, Mike (November 14, 2023). "Google's Florida update: 20 years since the SEO 'volcanic eruption'". Search Engine Land. Retrieved June 3, 2026.
- ^ Kleinberg, Jon M. (1999). "Authoritative Sources in a Hyperlinked Environment". Journal of the ACM. 46 (5): 604–632. doi:10.1145/324133.324140.
- ^ a b c Bharat, Krishna (2001). Using Non-Affiliated Experts to Rank Popular Topics. Proceedings of the 10th International Conference on World Wide Web (WWW '01). ACM. pp. 597–602. doi:10.1145/371920.372165.
- ^ "The Role of Backlinks as a Source of Search Authority and Visibility". Digital Business Journal. Retrieved June 3, 2026.
- ^ Montti, Roger (2018). "Google's Hilltop Algorithm: A Foundation for Modern SEO". Search Engine Journal. Retrieved June 3, 2026.
External links
- Krishna Bharat at Crunchbase
- Interview with Krishna Bharat Business Today, June 6, 2004
- Archived April 1, 2007, at the Wayback Machine
- When Experts Agree: Using Non-Affiliated Experts to Rank Popular Topics (CiteSeerX record)
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