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» Term Ranking for Clustering Web Search Results
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ERCIMDL
1999
Springer
104views Education» more  ERCIMDL 1999»
15 years 2 months ago
The Small World Web
I show that the World Wide Web is a small world, in the sense that sites are highly clustered yet the path length between them is small. I also demonstrate the advantages of a sear...
Lada A. Adamic
DASFAA
2004
IEEE
134views Database» more  DASFAA 2004»
15 years 1 months ago
Applying Co-training to Clickthrough Data for Search Engine Adaptation
The information on the World Wide Web is growing without bound. Users may have very diversified preferences in the pages they target through a search engine. It is therefore a chal...
Qingzhao Tan, Xiaoyong Chai, Wilfred Ng, Dik Lun L...
WWW
2001
ACM
15 years 10 months ago
Placing search in context: the concept revisited
We describe a new paradigm for performing search in context. In the IntelliZap system we developed, search is initiated from a text query marked by the user in a document she view...
Lev Finkelstein, Evgeniy Gabrilovich, Yossi Matias...
WWW
2002
ACM
15 years 10 months ago
Expert agreement and content based reranking in a meta search environment using Mearf
Recent increase in the number of search engines on the Web and the availability of meta search engines that can query multiple search engines makes it important to find effective ...
B. Uygar Oztekin, George Karypis, Vipin Kumar
WWW
2005
ACM
15 years 10 months ago
A uniform approach to accelerated PageRank computation
In this note we consider a simple reformulation of the traditional power iteration algorithm for computing the stationary distribution of a Markov chain. Rather than communicate t...
Frank McSherry