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» Comparing relevance feedback algorithms for web search
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CIBCB
2005
IEEE
14 years 1 months ago
Feedback Memetic Algorithms for Modeling Gene Regulatory Networks
— In this paper we address the problem of finding gene regulatory networks from experimental DNA microarray data. We focus on the evaluation of the performance of memetic algori...
Christian Spieth, Felix Streichert, Jochen Supper,...
KDD
2004
ACM
148views Data Mining» more  KDD 2004»
14 years 8 months ago
Spying Out Accurate User Preferences for Search Engine Adaptation
Abstract. Most existing search engines employ static ranking algorithms that do not adapt to the specific needs of users. Recently, some researchers have studied the use of clickth...
Lin Deng, Wilfred Ng, Xiaoyong Chai, Dik Lun Lee
CN
2000
70views more  CN 2000»
13 years 7 months ago
An efficient algorithm to rank Web resources
How to rank Web resources is critical to Web Resource Discovery (Search Engine). This paper not only points out the weakness of current approaches, but also presents in-depth anal...
Dell Zhang, Yisheng Dong
WWW
2009
ACM
14 years 8 months ago
An effective semantic search technique using ontology
In this paper, we present a semantic search technique considering the type of desired Web resources and the semantic relationships between the resources and the query keywords in ...
Jihyun Lee, Jun-Ki Min, Chin-Wan Chung
WWW
2007
ACM
14 years 8 months ago
Web object retrieval
The primary function of current Web search engines is essentially relevance ranking at the document level. However, myriad structured information about real-world objects is embed...
Zaiqing Nie, Yunxiao Ma, Shuming Shi, Ji-Rong Wen,...