Posts Tagged ‘web search;’

November 16th, 2009 - 4:35 pm § in Search engines

Serendipity on the Web

I’ve been catching up on all my reading these last couple of weeks and I particularly liked “From X-Rays to Silly Putty via Uranus: Serendipity and its Role in Web Search”. It’s by Paul André from Southampton University together with Jaime Teevan and Susan Dumais from Micros[...]

July 24th, 2009 - 1:18 am § in Inspirations

Dumais, Salton & Magic

Susan Dumais was awarded the Salton award at SIGIR this week. I am not exactly breaking news here, but rather I wanted to write a post to honour this wonderful lady, especially since she helped me early on in my PhD research. I have followed her work for years now and I have a lot of [...][...]

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 8th, 2009 - 11:31 am § in Information retrieval, Tutorials

10 papers you need to read

This is a list of my top 10 freely available papers on the topic of information retrieval.  You will notice that they are rather old, but the techniques used described and the findings are not always dated.  Those that dated are important nonetheless because they provide a good foundation to under[...]

March 23rd, 2009 - 3:14 pm § in Information retrieval, Personalised search, Query and Cluster analysis

User goals and tailoring click models

There’s an awful lot of attention is being given to users and click data at the moment (despite the fact that analysing query logs dates back to 10 years ago). “Tailoring Click Models to User Goals” by Guo, Li, Faloutsos (Carnegie University) is from the 2009 workshop on Web Search[...]

March 11th, 2009 - 3:29 pm § in Query and Cluster analysis, Search engines

Search engines to calculate implicit semantic relations

  I came across a cool paper called ”Measuring the Similarity between Implicit Semantic Relations using Web Search Engines” by Bollegala, Matsuo and Ishizuka from the University of Tokyo (WSDM 09). It’s all about calculating the implicit semantic relatedness between word pairs us[...]

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[...]

December 9th, 2008 - 9:54 pm § in Uncategorized

LSI – No more!

With the help of some very cool Tweeters, I found some interesting facts about LSI and SEO.  They are @dpn and @Mendicott. For a simple idea of what LSI/A is please read the wikipedia entry on it.  The original paper is here. LSI was patented in 1988 by Scott Deerwester (doing humanitarian work n[...]

October 10th, 2008 - 1:23 am § in Uncategorized

The Random surfer becomes the Cautious surfer

 An interesting paper: “Incorporating Trust into Web Search” written by Lan Nie Baoning Wu and Brian D. Davison from Lehigh University. This paper deals with the issue of spam, generated by pages being engineered to deceive the search engines.  They say that ranking systems should ta[...]

July 23rd, 2008 - 7:03 pm § in Uncategorized

The evolution of web search

Yihong Ding from Brigham Young university wrote an article on the evolution of websearch (search 3.0). There’s an interesting challenge from Haika engine’s Riza, countered by Yihong. Hakia is a good engine but has yet to evolve, which is a good thing, there’s improvement ahead. Yih[...]





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