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TheHilltop algorithm is analgorithm used to find documents relevant to a particular keyword topic in news search. Created byKrishna Bharat while he was atCompaq Systems Research Center andGeorge A. MihăilăUniversity of Toronto,[1] it was acquired byGoogle for use in its news results in February 2003.
When you enter a query or keyword into theGoogle news search engine, the Hilltop algorithm helps to find relevant keywords whose results are more informative about the query or keyword.[2]
The algorithm operates on a special index ofexpert documents. These are pages that are about a specific topic and have links to many non-affiliated pages on that topic. The original algorithm relied on independent directories with categorized links to sites. Results are ranked based on the match between the query and relevant descriptive text forhyperlinks on expert pages pointing to a given result page. Websites which havebacklinks from many of the best expert pages areauthorities and are ranked well.
Basically, it looks at the relationship between the "expert" and "authority" pages: an "expert" is a page that links to many other relevant documents; an "authority" is a page that has links pointing to it from the "expert" pages. Here they mean pages about a specific topic with links to many non-affiliated pages on that topic. If a website hasbacklinks from many of the best expert pages it will be an "authority".
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