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The RankMass crawler

The  paper entitled “RankMass Crawler: A Crawler with High Personalized PageRank Coverage Guarantee” (Cho, Schonfeld, University of California) deals with the important topic of how many pages should...

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BookRank

“Remembering what we like: Toward an agent-based model of Web traffic”  by Bruno Gonçalves & Mark R. Meiss (Indiana University) and José J. Ramasco (CNLL, ISI foundation, Turin) is a paper due to...

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G patent: Autocompletion using ranked results

“Method and system for autocompletion using ranked results” is a patent granted to Google on the 3rd of February 2009. Their invention is to process query information received from a user prior to the...

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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...

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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...

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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...

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Bounce rate & Google

There is an excellent post over at Search Engine called “9 Reasons Your Website Can Have a High Bounce Rate“. There’s a lot more to say about “Bounce rate” which I might launch into in another post,...

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What is InfluenceRank?

There is such a thing as InfluenceRank and it is relevant to social media as a whole. It is very difficult to rank users, find authority blogs and to create any sort of order in this world as a whole....

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