812 search results - page 60 / 163 » Preference-based learning to rank |
91
Voted
ICML
2006
IEEE
15 years 11 months ago
2006
IEEE
Most work on preference learning has focused on pairwise preferences or rankings over individual items. In this paper, we present a method for learning preferences over sets of it...
86
Voted
IJCAI
2003
14 years 11 months ago
2003
Information extraction (IE) aims at extracting specific information from a collection of documents. A lot of previous work on 10 from semi-structured documents (in XML or HTML) us...
ICML
2009
IEEE
15 years 11 months ago
2009
IEEE
This paper presents a theoretical framework for ranking, and demonstrates how to perform generalization analysis of listwise ranking algorithms using the framework. Many learning-...
103
Voted
KDD
2012
ACM
13 years 19 days ago
2012
ACM
Crowdsourcing has recently become popular among machine learning researchers and social scientists as an effective way to collect large-scale experimental data from distributed w...
KDD
2009
ACM
15 years 10 months ago
2009
ACM
User browsing information, particularly their non-search related activity, reveals important contextual information on the preferences and the intent of web users. In this paper, ...