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HITS algorithm and Ranking

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between HITS algorithm and Ranking

HITS algorithm vs. Ranking

Hyperlink-Induced Topic Search (HITS; also known as hubs and authorities) is a link analysis algorithm that rates Web pages, developed by Jon Kleinberg. A ranking is a relationship between a set of items such that, for any two items, the first is either 'ranked higher than', 'ranked lower than' or 'ranked equal to' the second.

Similarities between HITS algorithm and Ranking

HITS algorithm and Ranking have 3 things in common (in Unionpedia): Impact factor, PageRank, Web search engine.

Impact factor

The impact factor (IF) or journal impact factor (JIF) of an academic journal is a measure reflecting the yearly average number of citations to recent articles published in that journal.

HITS algorithm and Impact factor · Impact factor and Ranking · See more »

PageRank

PageRank (PR) is an algorithm used by Google Search to rank websites in their search engine results.

HITS algorithm and PageRank · PageRank and Ranking · See more »

Web search engine

A web search engine is a software system that is designed to search for information on the World Wide Web.

HITS algorithm and Web search engine · Ranking and Web search engine · See more »

The list above answers the following questions

HITS algorithm and Ranking Comparison

HITS algorithm has 20 relations, while Ranking has 88. As they have in common 3, the Jaccard index is 2.78% = 3 / (20 + 88).

References

This article shows the relationship between HITS algorithm and Ranking. To access each article from which the information was extracted, please visit:

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