812 search results - page 1 / 163 » Preference-based learning to rank |
ICML
1998
IEEE
14 years 5 months ago
1998
IEEE
We study the problem of learning to accurately rank a set of objects by combining a given collection of ranking or preference functions. This problem of combining preferences aris...
CHI
2006
ACM
14 years 5 months ago
2006
ACM
As our business, academic, and personal lives continue to move at an ever-faster pace, finding times for busy people to meet has become an art. One of the most perplexing challeng...
NLP
2000
13 years 8 months ago
2000
Abstract. The paper argues that a promising way to improve the success rate of preference-based anaphora resolution algorithms is the use of machine learning. The paper outlines MA...
SIGIR
2012
ACM
11 years 7 months ago
2012
ACM
In this paper, we propose a novel top-k learning to rank framework, which involves labeling strategy, ranking model and evaluation measure. The motivation comes from the difficul...
SIGIR
2012
ACM
11 years 7 months ago
2012
ACM
We consider the task of suggesting related queries to users after they issue their initial query to a web search engine. We propose a machine learning approach to learn the probab...