1. Web search basics
(1) Background and history about the forces that conspire
to make the Web chaotic, fast-changing and very different from the
“traditional” collections.
(2) Estimating the number of documents
indexed by web search engines, and the elimination of duplicate documents in
web indexes, respectively.
2. Link analysis
The use of hyperlinks for ranking
web search results
(1)
The use of web graph
(2)
Page rank: the page rank of a
node will depend on the link structure of the web graph. Given a query, a web
search engine computes a composite score for each web page that combines
hundreds of features such as cosine similarity and term proximity, together with
the Page Rank score.
(3)
Hyperlink-Induced Topic Search(HITS)
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