Hilltop algorithm - Revision history

Michael Martinez: Undid revision 1183868293 by 105.109.58.225 (talk) Spam link drop

2023-11-07T01:38:48Z

Undid revision 1183868293 by 105.109.58.225 (talk) Spam link drop

← Previous revision		Revision as of 01:38, 7 November 2023
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	The '''Hilltop algorithm''' is an [[algorithm]] used to find documents relevant to a particular keyword topic in news search. Created by [[Krishna Bharat]] while he was at [[DEC Systems Research Center\|Compaq Systems Research Center]] and [[George A. Mihăilă]] [[University of Toronto]],<ref name=":0">{{cite web\|url=http://ftp.cs.toronto.edu/pub/reports/csri/405/hilltop.html\|title=Hilltop: A Search Engine based on Expert Documents\|date=2002}}</ref> it was acquired by [[Google]] for use in its news results in February 2003~~<ref>{{cite news \|title=Backlinks kaufen \|url=https://www.rocket-backlinks.com/de/ \|access-date=21 April 2023}}</ref>~~.		The '''Hilltop algorithm''' is an [[algorithm]] used to find documents relevant to a particular keyword topic in news search. Created by [[Krishna Bharat]] while he was at [[DEC Systems Research Center\|Compaq Systems Research Center]] and [[George A. Mihăilă]] [[University of Toronto]],<ref name=":0">{{cite web\|url=http://ftp.cs.toronto.edu/pub/reports/csri/405/hilltop.html\|title=Hilltop: A Search Engine based on Expert Documents\|date=2002}}</ref> it was acquired by [[Google]] for use in its news results in February 2003.

	When you enter a query or keyword into the [[Google News\|Google news search engine]], the Hilltop algorithm helps to find relevant keywords whose results are more informative about the query or keyword.<ref>{{Cite journal \|last=Patil \|first=Swati P. \|last2=Pawar \|first2=B.V. \|last3=Patil \|first3=Ajay S. \|date=February 2013 \|title=Search Engine Optimization: A Study \|url=https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=742086cccc3e13a73e28048f63341b1a1a337846 \|journal=Research Journal of Computer and Information Technology Services \|volume=1 \|issue=1 \|pages=10–11}}</ref>		When you enter a query or keyword into the [[Google News\|Google news search engine]], the Hilltop algorithm helps to find relevant keywords whose results are more informative about the query or keyword.<ref>{{Cite journal \|last=Patil \|first=Swati P. \|last2=Pawar \|first2=B.V. \|last3=Patil \|first3=Ajay S. \|date=February 2013 \|title=Search Engine Optimization: A Study \|url=https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=742086cccc3e13a73e28048f63341b1a1a337846 \|journal=Research Journal of Computer and Information Technology Services \|volume=1 \|issue=1 \|pages=10–11}}</ref>

105.109.58.225 at 00:18, 7 November 2023

2023-11-07T00:18:23Z

← Previous revision		Revision as of 00:18, 7 November 2023
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	The '''Hilltop algorithm''' is an [[algorithm]] used to find documents relevant to a particular keyword topic in news search. Created by [[Krishna Bharat]] while he was at [[DEC Systems Research Center\|Compaq Systems Research Center]] and [[George A. Mihăilă]] [[University of Toronto]],<ref name=":0">{{cite web\|url=http://ftp.cs.toronto.edu/pub/reports/csri/405/hilltop.html\|title=Hilltop: A Search Engine based on Expert Documents\|date=2002}}</ref> it was acquired by [[Google]] for use in its news results in February 2003.		The '''Hilltop algorithm''' is an [[algorithm]] used to find documents relevant to a particular keyword topic in news search. Created by [[Krishna Bharat]] while he was at [[DEC Systems Research Center\|Compaq Systems Research Center]] and [[George A. Mihăilă]] [[University of Toronto]],<ref name=":0">{{cite web\|url=http://ftp.cs.toronto.edu/pub/reports/csri/405/hilltop.html\|title=Hilltop: A Search Engine based on Expert Documents\|date=2002}}</ref> it was acquired by [[Google]] for use in its news results in February 2003<ref>{{cite news \|title=Backlinks kaufen \|url=https://www.rocket-backlinks.com/de/ \|access-date=21 April 2023}}</ref>.

	When you enter a query or keyword into the [[Google News\|Google news search engine]], the Hilltop algorithm helps to find relevant keywords whose results are more informative about the query or keyword.<ref>{{Cite journal \|last=Patil \|first=Swati P. \|last2=Pawar \|first2=B.V. \|last3=Patil \|first3=Ajay S. \|date=February 2013 \|title=Search Engine Optimization: A Study \|url=https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=742086cccc3e13a73e28048f63341b1a1a337846 \|journal=Research Journal of Computer and Information Technology Services \|volume=1 \|issue=1 \|pages=10–11}}</ref>		When you enter a query or keyword into the [[Google News\|Google news search engine]], the Hilltop algorithm helps to find relevant keywords whose results are more informative about the query or keyword.<ref>{{Cite journal \|last=Patil \|first=Swati P. \|last2=Pawar \|first2=B.V. \|last3=Patil \|first3=Ajay S. \|date=February 2013 \|title=Search Engine Optimization: A Study \|url=https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=742086cccc3e13a73e28048f63341b1a1a337846 \|journal=Research Journal of Computer and Information Technology Services \|volume=1 \|issue=1 \|pages=10–11}}</ref>

BattyBot: /* top */Fixed CS1 maint: extra punctuation and general fixes

2023-08-15T13:08:41Z

top: Fixed CS1 maint: extra punctuation and general fixes

← Previous revision		Revision as of 13:08, 15 August 2023
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	The '''Hilltop algorithm''' is an [[algorithm]] used to find documents relevant to a particular keyword topic in news search. Created by [[Krishna Bharat]] while he was at [[DEC Systems Research Center\|Compaq Systems Research Center]] and [[George A. Mihăilă]] [[University of Toronto]],<ref name=":0">{{cite web\|url=http://ftp.cs.toronto.edu/pub/reports/csri/405/hilltop.html\|title=Hilltop: A Search Engine based on Expert Documents\|date=2002}}</ref> it was acquired by [[Google]] for use in its news results in February 2003.		The '''Hilltop algorithm''' is an [[algorithm]] used to find documents relevant to a particular keyword topic in news search. Created by [[Krishna Bharat]] while he was at [[DEC Systems Research Center\|Compaq Systems Research Center]] and [[George A. Mihăilă]] [[University of Toronto]],<ref name=":0">{{cite web\|url=http://ftp.cs.toronto.edu/pub/reports/csri/405/hilltop.html\|title=Hilltop: A Search Engine based on Expert Documents\|date=2002}}</ref> it was acquired by [[Google]] for use in its news results in February 2003.

	When you enter a query or keyword into the [[Google News\|Google news search engine]], the Hilltop algorithm helps to find relevant keywords whose results are more informative about the query or keyword<ref>{{Cite journal \|last=Patil \|first=Swati P., \|last2=Pawar \|first2=B.V., \|last3=Patil \|first3=Ajay S., \|date=February 2013 \|title=Search Engine Optimization: A Study \|url=https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=742086cccc3e13a73e28048f63341b1a1a337846 \|journal=Research Journal of Computer and Information Technology Services \|volume=1 \|issue=1 \|pages=~~10-11~~}}</ref>.		When you enter a query or keyword into the [[Google News\|Google news search engine]], the Hilltop algorithm helps to find relevant keywords whose results are more informative about the query or keyword.<ref>{{Cite journal \|last=Patil \|first=Swati P. \|last2=Pawar \|first2=B.V. \|last3=Patil \|first3=Ajay S. \|date=February 2013 \|title=Search Engine Optimization: A Study \|url=https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=742086cccc3e13a73e28048f63341b1a1a337846 \|journal=Research Journal of Computer and Information Technology Services \|volume=1 \|issue=1 \|pages=10–11}}</ref>

	The algorithm operates on a special index of ''expert 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 for [[hyperlink]]s on expert pages pointing to a given result page. Websites which have [[backlinks]] from many of the best expert pages are ''authorities'' and are ranked well.		The algorithm operates on a special index of ''expert 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 for [[hyperlink]]s on expert pages pointing to a given result page. Websites which have [[backlinks]] from many of the best expert pages are ''authorities'' and are ranked well.

TomWG00: Added reference for the function of Hilltop algorithm

2023-08-15T07:19:39Z

Added reference for the function of Hilltop algorithm

← Previous revision		Revision as of 07:19, 15 August 2023
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	The '''Hilltop algorithm''' is an [[algorithm]] used to find documents relevant to a particular keyword topic in news search. Created by [[Krishna Bharat]] while he was at [[DEC Systems Research Center\|Compaq Systems Research Center]] and [[George A. Mihăilă]] [[University of Toronto]],<ref name=":0">{{cite web\|url=http://ftp.cs.toronto.edu/pub/reports/csri/405/hilltop.html\|title=Hilltop: A Search Engine based on Expert Documents\|date=2002}}</ref> it was acquired by [[Google]] for use in its news results in February 2003.		The '''Hilltop algorithm''' is an [[algorithm]] used to find documents relevant to a particular keyword topic in news search. Created by [[Krishna Bharat]] while he was at [[DEC Systems Research Center\|Compaq Systems Research Center]] and [[George A. Mihăilă]] [[University of Toronto]],<ref name=":0">{{cite web\|url=http://ftp.cs.toronto.edu/pub/reports/csri/405/hilltop.html\|title=Hilltop: A Search Engine based on Expert Documents\|date=2002}}</ref> it was acquired by [[Google]] for use in its news results in February 2003.

	When you enter a query or keyword into the [[Google News\|Google news search engine]], the Hilltop algorithm helps to find relevant keywords whose results are more informative about the query or keyword.		When you enter a query or keyword into the [[Google News\|Google news search engine]], the Hilltop algorithm helps to find relevant keywords whose results are more informative about the query or keyword<ref>{{Cite journal \|last=Patil \|first=Swati P., \|last2=Pawar \|first2=B.V., \|last3=Patil \|first3=Ajay S., \|date=February 2013 \|title=Search Engine Optimization: A Study \|url=https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=742086cccc3e13a73e28048f63341b1a1a337846 \|journal=Research Journal of Computer and Information Technology Services \|volume=1 \|issue=1 \|pages=10-11}}</ref>.

	The algorithm operates on a special index of ''expert 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 for [[hyperlink]]s on expert pages pointing to a given result page. Websites which have [[backlinks]] from many of the best expert pages are ''authorities'' and are ranked well.		The algorithm operates on a special index of ''expert 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 for [[hyperlink]]s on expert pages pointing to a given result page. Websites which have [[backlinks]] from many of the best expert pages are ''authorities'' and are ranked well.

InfiniteNexus: replaced: {{Google Inc.}} → {{Google LLC}}

2023-08-14T21:51:28Z

replaced: {{Google Inc.}} → {{Google LLC}}

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	{{more footnotes\|date=September 2016}}		{{more footnotes needed\|date=September 2016}}
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	}}		}}
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	* [http://citeseer.ist.psu.edu/bharat01when.html When Experts Agree: Using Non-Affiliated Experts to Rank Popular Topics] by K. Bharat and G. A. Mihaila is substantially the same, but under a different title.		* [http://citeseer.ist.psu.edu/bharat01when.html When Experts Agree: Using Non-Affiliated Experts to Rank Popular Topics] by K. Bharat and G. A. Mihaila is substantially the same, but under a different title.

	{{Google ~~Inc.~~}}		{{Google LLC}}

	{{DEFAULTSORT:Hilltop Algorithm}}		{{DEFAULTSORT:Hilltop Algorithm}}

BattyBot: Moved See also above References per MOS:ORDER and other General fixes

2021-12-21T19:03:49Z

Moved See also above References per MOS:ORDER and other General fixes

← Previous revision		Revision as of 19:03, 21 December 2021
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			{{Multiple issues\|
	{{no footnotes\|date=September 2016}}		{{more footnotes\|date=September 2016}}
	{{primary sources\|date=September 2016}}		{{primary sources\|date=September 2016}}
			}}

	The '''Hilltop algorithm''' is an [[algorithm]] used to find documents relevant to a particular keyword topic in news search. Created by [[Krishna Bharat]] while he was at [[DEC Systems Research Center\|Compaq Systems Research Center]] and [[George A. Mihăilă]] [[University of Toronto]],<ref name=":0">{{cite web\|url=http://ftp.cs.toronto.edu/pub/reports/csri/405/hilltop.html\|title=Hilltop: A Search Engine based on Expert Documents\|date=2002}}</ref> it was acquired by [[Google]] for use in its news results in February 2003.		The '''Hilltop algorithm''' is an [[algorithm]] used to find documents relevant to a particular keyword topic in news search. Created by [[Krishna Bharat]] while he was at [[DEC Systems Research Center\|Compaq Systems Research Center]] and [[George A. Mihăilă]] [[University of Toronto]],<ref name=":0">{{cite web\|url=http://ftp.cs.toronto.edu/pub/reports/csri/405/hilltop.html\|title=Hilltop: A Search Engine based on Expert Documents\|date=2002}}</ref> it was acquired by [[Google]] for use in its news results in February 2003.

	When you enter a query or keyword into the [[Google News\|Google news search engine]], the Hilltop algorithm helps to find relevant keywords whose results are more informative about the query or keyword.		When you enter a query or keyword into the [[Google News\|Google news search engine]], the Hilltop algorithm helps to find relevant keywords whose results are more informative about the query or keyword.

	The algorithm operates on a special index of ''expert 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 for [[~~Hyperlink\|hyperlinks~~]] on expert pages pointing to a given result page. Websites which have [[backlinks]] from many of the best expert pages are ''authorities'' and are ranked well.		The algorithm operates on a special index of ''expert 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 for [[hyperlink]]s on expert pages pointing to a given result page. Websites which have [[backlinks]] from many of the best expert pages are ''authorities'' 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 has [[~~Backlink\|backlinks~~]] from many of the best expert pages it will be an "authority".		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 has [[backlink]]s from many of the best expert pages it will be an "authority".

⚫	==References==
⚫	{{Reflist}}

	==See also==		==See also==
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	* [[Domain Authority]]		* [[Domain Authority]]
	* [[Search engine optimization]]		* [[Search engine optimization]]

		⚫	==References==
		⚫	{{Reflist}}

	== External links ==		== External links ==
	* {{Crunchbase \| krishna-bharat \| Krishna Bharat \| person }}		* {{Crunchbase \| krishna-bharat \| Krishna Bharat \| person }}
	* [http://archives.digitaltoday.in/businesstoday/20040606/features6.html Interview with Krishna Bharat] [[~~Business_Today_~~(India)\|Business Today]], June 6, 2004		* [http://archives.digitaltoday.in/businesstoday/20040606/features6.html Interview with Krishna Bharat] [[Business Today (India)\|Business Today]], June 6, 2004
	* {{webarchive \|url=https://web.archive.org/web/20070401224626/http://www.cs.toronto.edu/~georgem/hilltop/ \|date=April 1, 2007 }}		* {{webarchive \|url=https://web.archive.org/web/20070401224626/http://www.cs.toronto.edu/~georgem/hilltop/ \|date=April 1, 2007 }}
	* [http://citeseer.ist.psu.edu/bharat01when.html When Experts Agree: Using Non-Affiliated Experts to Rank Popular Topics] by K. Bharat and G. A. Mihaila is substantially the same, but under a different title.		* [http://citeseer.ist.psu.edu/bharat01when.html When Experts Agree: Using Non-Affiliated Experts to Rank Popular Topics] by K. Bharat and G. A. Mihaila is substantially the same, but under a different title.
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	[[Category:Google Search]]		[[Category:Google Search]]
	[[Category:Reputation management]]		[[Category:Reputation management]]


	{{algorithm-stub}}		{{algorithm-stub}}

WikiCleanerBot: v2.04b - Bot T20 CW#61 - Fix errors for CW project (Reference before punctuation)

2021-11-30T02:08:22Z

v2.04b - Bot T20 CW#61 - Fix errors for CW project (Reference before punctuation)

← Previous revision		Revision as of 02:08, 30 November 2021
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	{{no footnotes\|date=September 2016}}		{{no footnotes\|date=September 2016}}
	{{primary sources\|date=September 2016}}		{{primary sources\|date=September 2016}}
	The '''Hilltop algorithm''' is an [[algorithm]] used to find documents relevant to a particular keyword topic in news search. Created by [[Krishna Bharat]] while he was at [[DEC Systems Research Center\|Compaq Systems Research Center]] and [[George A. Mihăilă]] [[University of Toronto]]<ref name=":0">{{cite web\|url=http://ftp.cs.toronto.edu/pub/reports/csri/405/hilltop.html\|title=Hilltop: A Search Engine based on Expert Documents\|date=2002}}</ref>, it was acquired by [[Google]] for use in its news results in February 2003.		The '''Hilltop algorithm''' is an [[algorithm]] used to find documents relevant to a particular keyword topic in news search. Created by [[Krishna Bharat]] while he was at [[DEC Systems Research Center\|Compaq Systems Research Center]] and [[George A. Mihăilă]] [[University of Toronto]],<ref name=":0">{{cite web\|url=http://ftp.cs.toronto.edu/pub/reports/csri/405/hilltop.html\|title=Hilltop: A Search Engine based on Expert Documents\|date=2002}}</ref> it was acquired by [[Google]] for use in its news results in February 2003.

	When you enter a query or keyword into the [[Google News\|Google news search engine]], the Hilltop algorithm helps to find relevant keywords whose results are more informative about the query or keyword.		When you enter a query or keyword into the [[Google News\|Google news search engine]], the Hilltop algorithm helps to find relevant keywords whose results are more informative about the query or keyword.

Michael Martinez: Started References section. More cleanup/expansion needed.

2021-11-22T19:41:20Z

Started References section. More cleanup/expansion needed.

← Previous revision		Revision as of 19:41, 22 November 2021
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	{{no footnotes\|date=September 2016}}		{{no footnotes\|date=September 2016}}
	{{primary sources\|date=September 2016}}		{{primary sources\|date=September 2016}}
	The '''Hilltop algorithm''' is an [[algorithm]] used to find documents relevant to a particular keyword topic in news search. Created by [[Krishna Bharat]] while he was at [[DEC Systems Research Center\|Compaq Systems Research Center]] and [[George A. Mihăilă]] [[University of Toronto]], it was acquired by [[Google]] for use in its news results in February 2003.		The '''Hilltop algorithm''' is an [[algorithm]] used to find documents relevant to a particular keyword topic in news search. Created by [[Krishna Bharat]] while he was at [[DEC Systems Research Center\|Compaq Systems Research Center]] and [[George A. Mihăilă]] [[University of Toronto]]<ref name=":0">{{cite web\|url=http://ftp.cs.toronto.edu/pub/reports/csri/405/hilltop.html\|title=Hilltop: A Search Engine based on Expert Documents\|date=2002}}</ref>, it was acquired by [[Google]] for use in its news results in February 2003.

	When you enter a query or keyword into the [[Google News\|Google news search engine]], the Hilltop algorithm helps to find relevant keywords whose results are more informative about the query or keyword.		When you enter a query or keyword into the [[Google News\|Google news search engine]], the Hilltop algorithm helps to find relevant keywords whose results are more informative about the query or keyword.
Line 8:		Line 8:

	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 has [[Backlink\|backlinks]] from many of the best expert pages it will be an "authority".		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 has [[Backlink\|backlinks]] from many of the best expert pages it will be an "authority".

			==References==
			{{Reflist}}

	==See also==		==See also==
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	* {{Crunchbase \| krishna-bharat \| Krishna Bharat \| person }}		* {{Crunchbase \| krishna-bharat \| Krishna Bharat \| person }}
	* [http://archives.digitaltoday.in/businesstoday/20040606/features6.html Interview with Krishna Bharat] [[Business_Today_(India)\|Business Today]], June 6, 2004		* [http://archives.digitaltoday.in/businesstoday/20040606/features6.html Interview with Krishna Bharat] [[Business_Today_(India)\|Business Today]], June 6, 2004
	* [http://ftp.cs.toronto.edu/pub/reports/csri/405/hilltop.html Hilltop: A Search Engine based on Expert Documents] by K. Bharat and G.A. Mihaila
	* {{webarchive \|url=https://web.archive.org/web/20070401224626/http://www.cs.toronto.edu/~georgem/hilltop/ \|date=April 1, 2007 }}		* {{webarchive \|url=https://web.archive.org/web/20070401224626/http://www.cs.toronto.edu/~georgem/hilltop/ \|date=April 1, 2007 }}
	* [http://citeseer.ist.psu.edu/bharat01when.html When Experts Agree: Using Non-Affiliated Experts to Rank Popular Topics] by K. Bharat and G. A. Mihaila is substantially the same, but under a different title.		* [http://citeseer.ist.psu.edu/bharat01when.html When Experts Agree: Using Non-Affiliated Experts to Rank Popular Topics] by K. Bharat and G. A. Mihaila is substantially the same, but under a different title.

Michael Martinez: Corrected long-standing misinformation. See Talk page.

2021-11-22T19:33:52Z

Corrected long-standing misinformation. See Talk page.

← Previous revision		Revision as of 19:33, 22 November 2021
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	{{no footnotes\|date=September 2016}}		{{no footnotes\|date=September 2016}}
	{{primary sources\|date=September 2016}}		{{primary sources\|date=September 2016}}
	The '''Hilltop algorithm''' is an [[algorithm]] used to find documents relevant to a particular keyword topic. Created by [[Krishna Bharat]] while he was at [[DEC Systems Research Center\|Compaq Systems Research Center]] and [[George A. Mihăilă]] [[University of Toronto]], it was acquired by [[Google]] in February 2003.		The '''Hilltop algorithm''' is an [[algorithm]] used to find documents relevant to a particular keyword topic in news search. Created by [[Krishna Bharat]] while he was at [[DEC Systems Research Center\|Compaq Systems Research Center]] and [[George A. Mihăilă]] [[University of Toronto]], it was acquired by [[Google]] for use in its news results in February 2003.

	When you enter a query or keyword into the [[Google ~~Search~~\|Google search engine]], the Hilltop algorithm helps to find relevant keywords whose results are more informative about the query or keyword.		When you enter a query or keyword into the [[Google News\|Google news search engine]], the Hilltop algorithm helps to find relevant keywords whose results are more informative about the query or keyword.

	The algorithm operates on a special index of ''expert documents''. These are pages that are about a specific topic and have links to many non-affiliated pages on that topic. ~~Pages~~ ~~are~~ ~~defined~~ as ~~non-affiliated~~ if ~~they~~ ~~are~~ ~~authored~~ by ~~people~~ ~~from non-affiliated organizations~~. Results are ranked based on the match between the query and relevant descriptive text for [[Hyperlink\|hyperlinks]] on expert pages pointing to a given result page. Websites which have [[backlinks]] from many of the best expert pages are ''authorities'' and are ranked well.		The algorithm operates on a special index of ''expert 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 for [[Hyperlink\|hyperlinks]] on expert pages pointing to a given result page. Websites which have [[backlinks]] from many of the best expert pages are ''authorities'' 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 has [[Backlink\|backlinks]] from many of the best expert pages it will be an "authority".		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 has [[Backlink\|backlinks]] from many of the best expert pages it will be an "authority".

	In theory, Google finds "expert" pages and then the pages that they link to would rank well. Pages on sites like [[Yahoo!]], [[DMOZ]], college sites and library sites are usually considered experts.

	==See also==		==See also==
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	== External links ==		== External links ==
			* {{Crunchbase \| krishna-bharat \| Krishna Bharat \| person }}
			* [http://archives.digitaltoday.in/businesstoday/20040606/features6.html Interview with Krishna Bharat] [[Business_Today_(India)\|Business Today]], June 6, 2004
	* [http://ftp.cs.toronto.edu/pub/reports/csri/405/hilltop.html Hilltop: A Search Engine based on Expert Documents] by K. Bharat and G.A. Mihaila		* [http://ftp.cs.toronto.edu/pub/reports/csri/405/hilltop.html Hilltop: A Search Engine based on Expert Documents] by K. Bharat and G.A. Mihaila
	* {{webarchive \|url=https://web.archive.org/web/20070401224626/http://www.cs.toronto.edu/~georgem/hilltop/ \|date=April 1, 2007 }}		* {{webarchive \|url=https://web.archive.org/web/20070401224626/http://www.cs.toronto.edu/~georgem/hilltop/ \|date=April 1, 2007 }}

GreenC bot: Move 1 url. Wayback Medic 2.5

2021-10-11T02:28:19Z

Move 1 url. Wayback Medic 2.5

← Previous revision		Revision as of 02:28, 11 October 2021
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	== External links ==		== External links ==
	* [~~ftp~~://ftp.cs.toronto.edu/pub/reports/csri/405/hilltop.html Hilltop: A Search Engine based on Expert Documents] by K. Bharat and G.A. Mihaila		* [http://ftp.cs.toronto.edu/pub/reports/csri/405/hilltop.html Hilltop: A Search Engine based on Expert Documents] by K. Bharat and G.A. Mihaila
	* {{webarchive \|url=https://web.archive.org/web/20070401224626/http://www.cs.toronto.edu/~georgem/hilltop/ \|date=April 1, 2007 }}		* {{webarchive \|url=https://web.archive.org/web/20070401224626/http://www.cs.toronto.edu/~georgem/hilltop/ \|date=April 1, 2007 }}
	* [http://citeseer.ist.psu.edu/bharat01when.html When Experts Agree: Using Non-Affiliated Experts to Rank Popular Topics] by K. Bharat and G. A. Mihaila is substantially the same, but under a different title.		* [http://citeseer.ist.psu.edu/bharat01when.html When Experts Agree: Using Non-Affiliated Experts to Rank Popular Topics] by K. Bharat and G. A. Mihaila is substantially the same, but under a different title.

← Previous revision		Revision as of 02:08, 30 November 2021
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	{{no footnotes\|date=September 2016}}		{{no footnotes\|date=September 2016}}
	{{primary sources\|date=September 2016}}		{{primary sources\|date=September 2016}}
	The '''Hilltop algorithm''' is an [[algorithm]] used to find documents relevant to a particular keyword topic in news search. Created by [[Krishna Bharat]] while he was at [[DEC Systems Research Center\|Compaq Systems Research Center]] and [[George A. Mihăilă]] [[University of Toronto]]<ref name=":0">{{cite web\|url=http://ftp.cs.toronto.edu/pub/reports/csri/405/hilltop.html\|title=Hilltop: A Search Engine based on Expert Documents\|date=2002}}</ref>, it was acquired by [[Google]] for use in its news results in February 2003.		The '''Hilltop algorithm''' is an [[algorithm]] used to find documents relevant to a particular keyword topic in news search. Created by [[Krishna Bharat]] while he was at [[DEC Systems Research Center\|Compaq Systems Research Center]] and [[George A. Mihăilă]] [[University of Toronto]],<ref name=":0">{{cite web\|url=http://ftp.cs.toronto.edu/pub/reports/csri/405/hilltop.html\|title=Hilltop: A Search Engine based on Expert Documents\|date=2002}}</ref> it was acquired by [[Google]] for use in its news results in February 2003.

	When you enter a query or keyword into the [[Google News\|Google news search engine]], the Hilltop algorithm helps to find relevant keywords whose results are more informative about the query or keyword.		When you enter a query or keyword into the [[Google News\|Google news search engine]], the Hilltop algorithm helps to find relevant keywords whose results are more informative about the query or keyword.

← Previous revision		Revision as of 19:41, 22 November 2021
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	{{no footnotes\|date=September 2016}}		{{no footnotes\|date=September 2016}}
	{{primary sources\|date=September 2016}}		{{primary sources\|date=September 2016}}
	The '''Hilltop algorithm''' is an [[algorithm]] used to find documents relevant to a particular keyword topic in news search. Created by [[Krishna Bharat]] while he was at [[DEC Systems Research Center\|Compaq Systems Research Center]] and [[George A. Mihăilă]] [[University of Toronto]], it was acquired by [[Google]] for use in its news results in February 2003.		The '''Hilltop algorithm''' is an [[algorithm]] used to find documents relevant to a particular keyword topic in news search. Created by [[Krishna Bharat]] while he was at [[DEC Systems Research Center\|Compaq Systems Research Center]] and [[George A. Mihăilă]] [[University of Toronto]]<ref name=":0">{{cite web\|url=http://ftp.cs.toronto.edu/pub/reports/csri/405/hilltop.html\|title=Hilltop: A Search Engine based on Expert Documents\|date=2002}}</ref>, it was acquired by [[Google]] for use in its news results in February 2003.

	When you enter a query or keyword into the [[Google News\|Google news search engine]], the Hilltop algorithm helps to find relevant keywords whose results are more informative about the query or keyword.		When you enter a query or keyword into the [[Google News\|Google news search engine]], the Hilltop algorithm helps to find relevant keywords whose results are more informative about the query or keyword.
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	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 has [[Backlink\|backlinks]] from many of the best expert pages it will be an "authority".		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 has [[Backlink\|backlinks]] from many of the best expert pages it will be an "authority".

			==References==
			{{Reflist}}

	==See also==		==See also==
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	* {{Crunchbase \| krishna-bharat \| Krishna Bharat \| person }}		* {{Crunchbase \| krishna-bharat \| Krishna Bharat \| person }}
	* [http://archives.digitaltoday.in/businesstoday/20040606/features6.html Interview with Krishna Bharat] [[Business_Today_(India)\|Business Today]], June 6, 2004		* [http://archives.digitaltoday.in/businesstoday/20040606/features6.html Interview with Krishna Bharat] [[Business_Today_(India)\|Business Today]], June 6, 2004
	* [http://ftp.cs.toronto.edu/pub/reports/csri/405/hilltop.html Hilltop: A Search Engine based on Expert Documents] by K. Bharat and G.A. Mihaila
	* {{webarchive \|url=https://web.archive.org/web/20070401224626/http://www.cs.toronto.edu/~georgem/hilltop/ \|date=April 1, 2007 }}		* {{webarchive \|url=https://web.archive.org/web/20070401224626/http://www.cs.toronto.edu/~georgem/hilltop/ \|date=April 1, 2007 }}
	* [http://citeseer.ist.psu.edu/bharat01when.html When Experts Agree: Using Non-Affiliated Experts to Rank Popular Topics] by K. Bharat and G. A. Mihaila is substantially the same, but under a different title.		* [http://citeseer.ist.psu.edu/bharat01when.html When Experts Agree: Using Non-Affiliated Experts to Rank Popular Topics] by K. Bharat and G. A. Mihaila is substantially the same, but under a different title.

← Previous revision		Revision as of 19:33, 22 November 2021
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	{{no footnotes\|date=September 2016}}		{{no footnotes\|date=September 2016}}
	{{primary sources\|date=September 2016}}		{{primary sources\|date=September 2016}}
	The '''Hilltop algorithm''' is an [[algorithm]] used to find documents relevant to a particular keyword topic. Created by [[Krishna Bharat]] while he was at [[DEC Systems Research Center\|Compaq Systems Research Center]] and [[George A. Mihăilă]] [[University of Toronto]], it was acquired by [[Google]] in February 2003.		The '''Hilltop algorithm''' is an [[algorithm]] used to find documents relevant to a particular keyword topic in news search. Created by [[Krishna Bharat]] while he was at [[DEC Systems Research Center\|Compaq Systems Research Center]] and [[George A. Mihăilă]] [[University of Toronto]], it was acquired by [[Google]] for use in its news results in February 2003.

	When you enter a query or keyword into the [[Google ~~Search~~\|Google search engine]], the Hilltop algorithm helps to find relevant keywords whose results are more informative about the query or keyword.		When you enter a query or keyword into the [[Google News\|Google news search engine]], the Hilltop algorithm helps to find relevant keywords whose results are more informative about the query or keyword.

	The algorithm operates on a special index of ''expert documents''. These are pages that are about a specific topic and have links to many non-affiliated pages on that topic. ~~Pages~~ ~~are~~ ~~defined~~ as ~~non-affiliated~~ if ~~they~~ ~~are~~ ~~authored~~ by ~~people~~ ~~from non-affiliated organizations~~. Results are ranked based on the match between the query and relevant descriptive text for [[Hyperlink\|hyperlinks]] on expert pages pointing to a given result page. Websites which have [[backlinks]] from many of the best expert pages are ''authorities'' and are ranked well.		The algorithm operates on a special index of ''expert 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 for [[Hyperlink\|hyperlinks]] on expert pages pointing to a given result page. Websites which have [[backlinks]] from many of the best expert pages are ''authorities'' 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 has [[Backlink\|backlinks]] from many of the best expert pages it will be an "authority".		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 has [[Backlink\|backlinks]] from many of the best expert pages it will be an "authority".

	In theory, Google finds "expert" pages and then the pages that they link to would rank well. Pages on sites like [[Yahoo!]], [[DMOZ]], college sites and library sites are usually considered experts.

	==See also==		==See also==
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	== External links ==		== External links ==
			* {{Crunchbase \| krishna-bharat \| Krishna Bharat \| person }}
			* [http://archives.digitaltoday.in/businesstoday/20040606/features6.html Interview with Krishna Bharat] [[Business_Today_(India)\|Business Today]], June 6, 2004
	* [http://ftp.cs.toronto.edu/pub/reports/csri/405/hilltop.html Hilltop: A Search Engine based on Expert Documents] by K. Bharat and G.A. Mihaila		* [http://ftp.cs.toronto.edu/pub/reports/csri/405/hilltop.html Hilltop: A Search Engine based on Expert Documents] by K. Bharat and G.A. Mihaila
	* {{webarchive \|url=https://web.archive.org/web/20070401224626/http://www.cs.toronto.edu/~georgem/hilltop/ \|date=April 1, 2007 }}		* {{webarchive \|url=https://web.archive.org/web/20070401224626/http://www.cs.toronto.edu/~georgem/hilltop/ \|date=April 1, 2007 }}