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CIKM
2008
Springer
13 years 11 months ago
Are click-through data adequate for learning web search rankings?
Learning-to-rank algorithms, which can automatically adapt ranking functions in web search, require a large volume of training data. A traditional way of generating training examp...
Zhicheng Dou, Ruihua Song, Xiaojie Yuan, Ji-Rong W...
IRI
2007
IEEE
14 years 3 months ago
BESearch: A Supervised Learning Approach to Search for Molecular Event Participants
Biomedical researchers rely on keyword-based search engines to retrieve superficially relevant documents, from which they must filter out irrelevant information manually. Hence, t...
Richard Tzong-Han Tsai, Hong-Jie Dai, Hsi-Chuan Hu...
CIKM
2010
Springer
13 years 7 months ago
Wisdom of the ages: toward delivering the children's web with the link-based agerank algorithm
Though children frequently use web search engines to learn, interact, and be entertained, modern web search engines are poorly suited to children's needs, requiring relativel...
Karl Gyllstrom, Marie-Francine Moens
ISCAS
2003
IEEE
162views Hardware» more  ISCAS 2003»
14 years 2 months ago
Content based error detection and concealment for image transmission over wireless channel
In this paper, we present a novel content-based image error detection and error concealment algorithm to improve the image quality degraded during its transmission over wireless c...
Shuiming Ye, Xinggang Lin, Qibin Sun
IV
2005
IEEE
101views Visualization» more  IV 2005»
14 years 2 months ago
Generation of Graphical Representations of Student Tracking Data in Course Management Systems
An approach of employing Information Visualisation to develop systems that facilitate instructors in web-based distance learning is presented here. The paper describes a tool, cal...
Riccardo Mazza, Vania Dimitrova