10 search results - page 1 / 2 » Applying Co-training to Clickthrough Data for Search Engine ... |
DASFAA
2004
IEEE
13 years 8 months ago
2004
IEEE
The information on the World Wide Web is growing without bound. Users may have very diversified preferences in the pages they target through a search engine. It is therefore a chal...
KDD
2002
ACM
14 years 4 months ago
2002
ACM
This paper presents an approach to automatically optimizing the retrieval quality of search engines using clickthrough data. Intuitively, a good information retrieval system shoul...
KDD
2004
ACM
14 years 4 months ago
2004
ACM
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...
COLING
2010
12 years 11 months ago
2010
Machine-learned ranking techniques automatically learn a complex document ranking function given training data. These techniques have demonstrated the effectiveness and flexibilit...
ICMCS
2006
IEEE
13 years 10 months ago
2006
IEEE
Although relevance feedback has been extensively studied in content-based image retrieval in the academic area, no commercial web image search engine has employed the idea. There ...