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{{Orphan|date=December 2013}}
'''Stochastic Approach for Link-Structure Analysis (SALSA)''' is a web page ranking algorithm designed by R. Lempel and S. Moran to assign high scores to hub and authority web pages based on the quantity of hyperlinks among them.
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* like PageRank, the algorithm computes the scores by simulating a random walk through a [[Markov chain]] that represents the graph of web pages. SALSA however works with two different Markov chains: a chain of hubs and a chain of authorities. This is a departure from HITS's notions of hubs and authorities based on a mutually reinforcing relationship.
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SALSA can be seen as an improvement of HITS.
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The [[Twitter]] Social network uses a SALSA style algorithm to suggest accounts to follow.<ref name="twitterwtf">Pankaj Gupta, Ashish Goel, Jimmy Lin, Aneesh Sharma, Dong Wang, and Reza Bosagh Zadeh [http://dl.acm.org/citation.cfm?id=2488433 WTF: The who-to-follow system at Twitter], Proceedings of the 22nd international conference on World Wide Web</ref>
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{{reflist}}
*{{cite journal |last=Lempel |first=R. |authorlink= |author2=Moran S. |date=April 2001 |title=SALSA: The Stochastic Approach for Link-Structure Analysis |journal=ACM Transactions on Information Systems |volume=19 |issue=2 |pages=131–160 |id= |url=http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.38.5859 |format=PDF|accessdate= |quote= |doi=10.1145/382979.383041
==External links==
*[https://grayhatpublicity.com/ SEO Services]
▲*{{cite journal |last=Lempel |first=R. |authorlink= |author2=Moran S. |date=April 2001 |title=SALSA: The Stochastic Approach for Link-Structure Analysis |journal=ACM Transactions on Information Systems |volume=19 |issue=2 |pages=131–160 |id= |url=http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.38.5859 |format=PDF|accessdate= |quote= |doi=10.1145/382979.383041 }}
[[Category:Internet search algorithms]]
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