266 search results - page 52 / 54 » Parallel learning to rank for information retrieval |
KDD
2009
ACM
14 years 1 months ago
2009
ACM
In this paper, we introduce a system named Argo which provides intelligent advertising made possible from users’ photo collections. Based on the intuition that user-generated ph...
WSDM
2009
ACM
14 years 1 months ago
2009
ACM
The ranking function used by search engines to order results is learned from labeled training data. Each training point is a (query, URL) pair that is labeled by a human judge who...
CIKM
2009
Springer
13 years 7 months ago
2009
Springer
Work on evaluating and improving the relevance of web search engines typically use human relevance judgments or clickthrough data. Both these methods look at the problem of learni...
KDD
2012
ACM
11 years 8 months ago
2012
ACM
Multi-instance multi-label learning (MIML) is a framework for supervised classification where the objects to be classified are bags of instances associated with multiple labels....
PAMI
2012
11 years 8 months ago
2012
—Web-scale image search engines (e.g. Google Image Search, Bing Image Search) mostly rely on surrounding text features. It is difficult for them to interpret users’ search int...