Posts Tagged ‘ranking algorithm’

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[...]

March 10th, 2009 - 2:04 pm § in Social networks

TunkRank (for Twitter)

  There are plenty of different tools out there to measure your influence on Twitter such as Klout, Twinfluence, Twitter ratio, and there are many more.  I’m not sure all of these tools have the same definition of “influence on Twitter”.  This is the same question we ask when we[...]

February 27th, 2009 - 10:57 am § in TGIF

DoomRank

A meme is a mind virus.  Richard Dawkins introduced the term “meme” (from the greek “mimema” for “mimic”) in his 1976 book “The selfish gene” (which is a cool read btw).  In this book he explains how you can use the evolutionary principle to describe[...]

February 5th, 2009 - 10:10 am § in Personalised search, Ranking algorithms

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 user having indicated that the query is completed.  So just as we have seen with the s[...]

January 23rd, 2009 - 11:36 am § in Information/text analysis, Uncategorized

G patent: identifying similar passages in text

The patent entitled “Identifying and Linking Similar Passages in a Digital Text Corpus” was published on the 22nd of January and filed on the 20th July 2007. It’s a really interesting one, not just because it covers a topic I’m particularly interested in but because it descri[...]

December 8th, 2008 - 10:25 pm § in Uncategorized

The impact of SEO on the online advertising market

This paper written by BO Xing and Zhangxi Lin from the Texas Tech University in 2006 discusses the impact of SEO online. The study is conducted in an analytical way, using a number of good resources but has at times a simplistic view of the SEO effort. SEO’s are considered to be of “para[...]

December 1st, 2008 - 9:59 pm § in Uncategorized

Why writing a search engine is hard

Anna Patterson, research Associate to the formal reasoning group at Stanford and ex-Googler, also head lady at the Cuil search engine explains why writing a search engine is hard at the ACM queue. Some main points: Building good search engines has never been done in a big group but in teams of 1 to [...]

July 12th, 2008 - 1:00 am § in Uncategorized

Google talk about ranking

Google posted an article on their blog about their ranking algorithms. Amit Singhal (in charge of the ranking team at Google) writes about the “no query left behind principle where all queries are dealt with efficiently, how they work very hard to keep the system as simple as possible without [...]





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