From b00f8083ce4b7096ccc93f5f82df792668ed215b Mon Sep 17 00:00:00 2001 From: Zoffix Znet Date: Mon, 1 May 2017 12:41:09 -0400 Subject: [PATCH] Fix typo (#447) --- information_retrieval/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/information_retrieval/README.md b/information_retrieval/README.md index 0ccc344..ab83fc9 100644 --- a/information_retrieval/README.md +++ b/information_retrieval/README.md @@ -47,5 +47,5 @@ The included documents are * [:scroll:](hits.pdf) [Hits Algorithm](https://www.cs.cornell.edu/home/kleinber/auth.pdf) - Jon M. Kleinberg -This paper introduces the HITS algorithm, a link analysis algorithm that rates webpages. Unlike the more famous page rank algorithm, the hits algorithm makes a distinction between webpage behavior classifies them as hubs and autho rities. A page is authoratitative (in the sense the page has a large number of incoming links) or acts as a hub (a directory of sort, which can be measured by the number of outgoing link). The hits algorithm computes two scores for a page (authority and hub score) where the algorithm iteratively computes the hub score as sum of authority scores of outgoing links and authority scores as sum of hub scores of incoming links until a convergence is attained. These scores can then be used to rank documents. While this algorithm is famous in academia, its not very widely used in the industry (a variant of this algorithm was used by a company called Teoma which was acquired by AskJeeves) +This paper introduces the HITS algorithm, a link analysis algorithm that rates webpages. Unlike the more famous page rank algorithm, the hits algorithm makes a distinction between webpage behavior classifies them as hubs and authorities. A page is authoratitative (in the sense the page has a large number of incoming links) or acts as a hub (a directory of sort, which can be measured by the number of outgoing link). The hits algorithm computes two scores for a page (authority and hub score) where the algorithm iteratively computes the hub score as sum of authority scores of outgoing links and authority scores as sum of hub scores of incoming links until a convergence is attained. These scores can then be used to rank documents. While this algorithm is famous in academia, its not very widely used in the industry (a variant of this algorithm was used by a company called Teoma which was acquired by AskJeeves)