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» Link Based Clustering of Web Search Results
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WWW
2005
ACM
16 years 6 months ago
Three-level caching for efficient query processing in large Web search engines
Large web search engines have to answer thousands of queries per second with interactive response times. Due to the sizes of the data sets involved, often in the range of multiple...
Xiaohui Long, Torsten Suel
WWW
2011
ACM
15 years 1 months ago
Parallel boosted regression trees for web search ranking
Gradient Boosted Regression Trees (GBRT) are the current state-of-the-art learning paradigm for machine learned websearch ranking — a domain notorious for very large data sets. ...
Stephen Tyree, Kilian Q. Weinberger, Kunal Agrawal...
CLEF
2010
Springer
15 years 7 months ago
WePS-3 Evaluation Campaign: Overview of the Web People Search Clustering and Attribute Extraction Tasks
The third WePS (Web People Search) Evaluation campaign took place in 2009-2010 and attracted the participation of 13 research groups from Europe, Asia and North America. Given the ...
Javier Artiles, Andrew Borthwick, Julio Gonzalo, S...
NIPS
2001
15 years 7 months ago
The Intelligent surfer: Probabilistic Combination of Link and Content Information in PageRank
The PageRank algorithm, used in the Google search engine, greatly improves the results of Web search by taking into account the link structure of the Web. PageRank assigns to a pa...
Matthew Richardson, Pedro Domingos
WSDM
2012
ACM
258views Data Mining» more  WSDM 2012»
14 years 1 months ago
Large-scale analysis of individual and task differences in search result page examination strategies
Understanding the impact of individual and task differences on search result page examination strategies is important in developing improved search engines. Characterizing these e...
Georg Buscher, Ryen W. White, Susan T. Dumais, Jef...