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» An Analysis of Factors Used in Search Engine Ranking
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MM
2004
ACM
195views Multimedia» more  MM 2004»
14 years 2 months ago
Hierarchical clustering of WWW image search results using visual, textual and link information
We consider the problem of clustering Web image search results. Generally, the image search results returned by an image search engine contain multiple topics. Organizing the resu...
Deng Cai, Xiaofei He, Zhiwei Li, Wei-Ying Ma, Ji-R...
WWW
2009
ACM
14 years 9 months ago
An axiomatic approach for result diversification
Understanding user intent is key to designing an effective ranking system in a search engine. In the absence of any explicit knowledge of user intent, search engines want to diver...
Sreenivas Gollapudi, Aneesh Sharma
JBI
2008
159views Bioinformatics» more  JBI 2008»
13 years 8 months ago
SEGS: Search for enriched gene sets in microarray data
Gene Ontology (GO) terms are often used to interpret the results of microarray experiments. The most common approach is to perform Fisher's exact tests to find gene sets anno...
Igor Trajkovski, Nada Lavrac, Jakub Tolar
GECCO
2007
Springer
193views Optimization» more  GECCO 2007»
14 years 3 months ago
Approximating covering problems by randomized search heuristics using multi-objective models
The main aim of randomized search heuristics is to produce good approximations of optimal solutions within a small amount of time. In contrast to numerous experimental results, th...
Tobias Friedrich, Nils Hebbinghaus, Frank Neumann,...
WEBDB
2007
Springer
126views Database» more  WEBDB 2007»
14 years 3 months ago
Towards a Content-Provider-Friendly Web Page Crawler
Search engine quality is impacted by two factors: the quality of the ranking/matching algorithm used and the freshness of the search engine’s index, which maintains a “snapsho...
Jie Xu, Qinglan Li, Huiming Qu, Alexandros Labrini...