Sciweavers

499 search results - page 41 / 100
» Search Engines that Learn from Implicit Feedback
Sort
View
GECCO
2007
Springer
172views Optimization» more  GECCO 2007»
15 years 5 months ago
Acquiring evolvability through adaptive representations
Adaptive representations allow evolution to explore the space of phenotypes by choosing the most suitable set of genotypic parameters. Although such an approach is believed to be ...
Joseph Reisinger, Risto Miikkulainen
DSS
2008
186views more  DSS 2008»
14 years 11 months ago
A machine learning approach to web page filtering using content and structure analysis
As the Web continues to grow, it has become increasingly difficult to search for relevant information using traditional search engines. Topic-specific search engines provide an al...
Michael Chau, Hsinchun Chen
CIKM
2009
Springer
15 years 3 months ago
iMecho: an associative memory based desktop search system
Traditional desktop search engines only support keyword based search that needs exact keyword matching to find resources. However, users generally have a vague picture of what is...
Jidong Chen, Hang Guo, Wentao Wu, Wei Wang 0009
CIKM
2006
Springer
15 years 3 months ago
Incorporating query difference for learning retrieval functions in world wide web search
We discuss information retrieval methods that aim at serving a diverse stream of user queries such as those submitted to commercial search engines. We propose methods that emphasi...
Hongyuan Zha, Zhaohui Zheng, Haoying Fu, Gordon Su...
VISUAL
1999
Springer
15 years 3 months ago
Similarity Search Using Multiple Examples in MARS
Abstract. Unlike traditional database management systems, in multimedia databases that support content-based retrieval over multimedia objects, it is difficult for users to express...
Kriengkrai Porkaew, Sharad Mehrotra, Michael Orteg...