354 search results - page 33 / 71 » Top-k learning to rank: labeling, ranking and evaluation |
CORR
2006
Springer
14 years 9 months ago
2006
Springer
This paper evaluates the robustness of learning from implicit feedback in web search. In particular, we create a model of user behavior by drawing upon user studies in laboratory ...
118
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ICML
2006
IEEE
15 years 10 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...
WSDM
2009
ACM
15 years 4 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...
180
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ICDE
2008
IEEE
15 years 11 months ago
2008
IEEE
Authority flow is an effective ranking mechanism for answering queries on a broad class of data. Systems have been developed to apply this principle on the Web (PageRank and topic ...
NIPS
2004
14 years 11 months ago
2004
The area under the ROC curve (AUC) has been advocated as an evaluation criterion for the bipartite ranking problem. We study large deviation properties of the AUC; in particular, ...