Posts Tagged ‘PageRank’

June 12th, 2009 - 3:37 pm § in Ranking algorithms

Papers on PageRank you should read

PageRank is a standard and much discussed topic in SEO and while it is relevant, the methods and techniques discussed are often not. There is a lot of discussion around the original PageRank formula which is relevant, but there have been many changes and improvements since 1998. If you are an SEO w[...]

April 28th, 2009 - 7:19 pm § in Ranking algorithms

Ranking by semantic similarity

A useful method is presented in “Categorizing and Ranking Search Engine’s Results by Semantic Similarity” by Tianyong Hao, Zhi Lu, Shitong Wang, Tiansong Zou, Shenhua GU, Liu Wenyin (University Hong Kong). Google ranks results according to page relevance and importance. This importance[...]

April 21st, 2009 - 1:13 pm § in SEO & marketing

Over-optimised sites nullified

A very useful and eye-opening paper crossed my desk called “Nullification test collections for web spam and SEO” by Jones and Ramesh, Hawking and Craswell from Canberra University in Australia. They want to encourage the compilation of a large corpus for adversial IR research. CMU are bu[...]

April 6th, 2009 - 8:40 pm § in Information retrieval

Dr. Searcher and Mr. Browser

A really interesting method, partly for combating search result manipulation is described in “Dr. Searcher and Mr. Browser: A unified hyperlink-click graph” by Poblete (Uni. Pompeu Fabra), Castillo and Gionis (Yahoo). They worked on making a unified graph representation of the web includ[...]

February 25th, 2009 - 2:35 pm § in Information retrieval, Ranking algorithms, Semantic web

New ranking algorithms

Ranking algorithms are changing a great deal at the moment.  Before, like HITS and PageRank they looked at how websites and pages were connected and used any information they could gather from those to use as variables.  Nowadays we’re seeing research papers come out focusing on how the sema[...]





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