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» Determining Bias to Search Engines from Robots.txt
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177
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CORR
2006
Springer
118views Education» more  CORR 2006»
15 years 6 months ago
Minimally Invasive Randomization for Collecting Unbiased Preferences from Clickthrough Logs
Clickthrough data is a particularly inexpensive and plentiful resource to obtain implicit relevance feedback for improving and personalizing search engines. However, it is well kn...
Filip Radlinski, Thorsten Joachims
JIS
2007
129views more  JIS 2007»
15 years 6 months ago
Employing log metrics to evaluate search behaviour and success: case study BBC search engine
Argues that metrics can be generated from search transactional Web logs that can help evaluate search engine effectiveness. Search logs from the BBC Website were analysed and metr...
Paul Huntington, David Nicholas, Hamid R. Jamali M...
CORR
2010
Springer
140views Education» more  CORR 2010»
15 years 6 months ago
Evaluation of Query Generators for Entity Search Engines
Dynamic web applications such as mashups need efficient access to web data that is only accessible via entity search engines (e.g. product or publication search engines). However,...
Stefan Endrullis, Andreas Thor, Erhard Rahm
139
Voted
CORR
2008
Springer
115views Education» more  CORR 2008»
15 years 6 months ago
Determining the Unithood of Word Sequences using Mutual Information and Independence Measure
Most works related to unithood were conducted as part of a larger effort for the determination of termhood. Consequently, the number of independent research that study the notion ...
Wilson Wong, Wei Liu, Mohammed Bennamoun
WEBI
2007
Springer
16 years 5 days ago
Experimental Bounds on the Usefulness of Personalized and Topic-Sensitive PageRank
PageRank is an algorithm used by several search engines to rank web documents according to their assumed relevance and popularity deduced from the Web’s link structure. PageRank...
Sinan Al-Saffar, Gregory L. Heileman