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[...]
Posts Tagged ‘web search;’
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[...]
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[...]
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[...]
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[...]
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[...]
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[...]
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[...]

