354 search results - page 37 / 71 » Top-k learning to rank: labeling, ranking and evaluation |
EACL
2009
ACL Anthology
15 years 10 months ago
2009
ACL Anthology
We present the results of a large-scale, end-to-end human evaluation of various sentiment summarization models. The evaluation shows that users have a strong preference for summar...
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KDD
2007
ACM
15 years 3 months ago
2007
ACM
In this paper, we propose a new method called Prototype Ranking (PR) designed for the stock selection problem. PR takes into account the huge size of real-world stock data and app...
ACCV
2009
Springer
15 years 4 months ago
2009
Springer
Evaluating the similarity of images and their descriptors by employing discriminative learners has proven itself to be an effective face recognition paradigm. In this paper we sho...
CIKM
2005
Springer
15 years 3 months ago
2005
Springer
We approached the problem as learning how to order documents by estimated relevance with respect to a user query. Our support vector machines based classifier learns from the rele...
IR
2010
14 years 8 months ago
2010
Abstract We present a new ranking algorithm that combines the strengths of two previous methods: boosted tree classification, and LambdaRank, which has been shown to be empiricall...