90 search results - page 1 / 18 » Adapting ranking functions to user preference |
ICDE
2008
IEEE
13 years 11 months ago
2008
IEEE
— Learning to rank has become a popular method for web search ranking. Traditionally, expert-judged examples are the major training resource for machine learned web ranking, whic...
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...
ER
2007
Springer
13 years 10 months ago
2007
Springer
It is increasingly recognised that user preferences should be addressed in many advanced database applications, such as adaptive searching in databases. However, the fundamental is...
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...
IDA
2005
Springer
13 years 10 months ago
2005
Springer
We consider the problem of learning a ranking function, that is a mapping from instances to rankings over a finite number of labels. Our learning method, referred to as ranking by...