812 search results - page 55 / 163 » Preference-based learning to rank |
98
Voted
IPM
2008
14 years 10 months ago
2008
Many machine learning technologies such as support vector machines, boosting, and neural networks have been applied to the ranking problem in information retrieval. However, since...
111
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WSDM
2012
ACM
13 years 5 months ago
2012
ACM
We present a new approach for personalizing Web search results to a specific user. Ranking functions for Web search engines are typically trained by machine learning algorithms u...
105
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WWW
2011
ACM
14 years 5 months ago
2011
ACM
Gradient Boosted Regression Trees (GBRT) are the current state-of-the-art learning paradigm for machine learned websearch ranking — a domain notorious for very large data sets. ...
91
Voted
MM
2006
ACM
15 years 4 months ago
2006
ACM
Most existing web video search engines index videos by file names, URLs, and surrounding texts. These types of video roughly describe the whole video in an abstract level without ...
121
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ICML
2006
IEEE
15 years 11 months ago
2006
IEEE
There has been much work on applying multiple-instance (MI) learning to contentbased image retrieval (CBIR) where the goal is to rank all images in a known repository using a smal...