
HITS algorithm
Hyperlink-Induced Topic Search (HITS; also known as hubs and authorities) is a link analysis algorithm that rates Web pages, developed by Jon Kleinberg. The idea behind Hubs and Authorities stemmed from a particular insight into the creation of web pages when the Internet was originally forming; that is, certain web pages, known as hubs, served as large directories that were not actually authoritative in the information that they held, but were used as compilations of a broad catalog of information that led users direct to other authoritative pages. In other words, a good hub represents a page that pointed to many other pages, while a good authority represents a page that is linked by many different hubs.
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- Comment
- enHyperlink-Induced Topic Search (HITS; also known as hubs and authorities) is a link analysis algorithm that rates Web pages, developed by Jon Kleinberg. The idea behind Hubs and Authorities stemmed from a particular insight into the creation of web pages when the Internet was originally forming; that is, certain web pages, known as hubs, served as large directories that were not actually authoritative in the information that they held, but were used as compilations of a broad catalog of information that led users direct to other authoritative pages. In other words, a good hub represents a page that pointed to many other pages, while a good authority represents a page that is linked by many different hubs.
- Depiction
- Has abstract
- enHyperlink-Induced Topic Search (HITS; also known as hubs and authorities) is a link analysis algorithm that rates Web pages, developed by Jon Kleinberg. The idea behind Hubs and Authorities stemmed from a particular insight into the creation of web pages when the Internet was originally forming; that is, certain web pages, known as hubs, served as large directories that were not actually authoritative in the information that they held, but were used as compilations of a broad catalog of information that led users direct to other authoritative pages. In other words, a good hub represents a page that pointed to many other pages, while a good authority represents a page that is linked by many different hubs. The scheme therefore assigns two scores for each page: its authority, which estimates the value of the content of the page, and its hub value, which estimates the value of its links to other pages.
- Is primary topic of
- HITS algorithm
- Label
- enHITS algorithm
- Link from a Wikipage to an external page
- web.archive.org/web/20170117191811/http:/www.dupuis.me/node/25
- www.cs.cornell.edu/home/kleinber/auth.pdf
- www2002.org/CDROM/refereed/643/
- Link from a Wikipage to another Wikipage
- Algorithm
- Ask.com
- Category:Articles with example pseudocode
- Category:Link analysis
- File:SetsEN.jpg
- Impact factor
- Internet
- Iterative algorithm
- Jon Kleinberg
- Larry Page
- Link analysis
- MSN
- Mutual recursion
- Nature (journal)
- Normalized vector
- PageRank
- Science (journal)
- Search engines
- Sergey Brin
- Teoma
- Weblink
- Yahoo!
- SameAs
- 7A9Z
- Algorithme HITS
- Algoritmo HITS
- Algoritmo HITS
- HITS
- HITS
- HITS
- HITS algorithm
- HITS algoritmoa
- Hubs und Authorities
- m.060 30
- Q1031957
- Алгоритм HITS
- אלגוריתם רשויות ורכזים
- الگوریتم هیتس
- خوارزمية الروابط الفائقة الناجمة عن البحث الموضوعي
- Subject
- Category:Articles with example pseudocode
- Category:Link analysis
- Thumbnail
- WasDerivedFrom
- HITS algorithm?oldid=1106804272&ns=0
- WikiPageLength
- 11314
- Wikipage page ID
- 1851223
- Wikipage revision ID
- 1106804272
- WikiPageUsesTemplate
- Template:Cite book
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- Template:US patent