A support vector method for optimizing average precision

@inproceedings{Yue2007ASV,
  title={A support vector method for optimizing average precision},
  author={Yisong Yue and Thomas Finley and Filip Radlinski and Thorsten Joachims},
  booktitle={SIGIR},
  year={2007}
}
Machine learning is commonly used to improve ranked retrieval systems. Due to computational difficulties, few learning techniques have been developed to directly optimize for mean average precision (MAP), despite its widespread use in evaluating such systems. Existing approaches optimizing MAP either do not find a globally optimal solution, or are computationally expensive. In contrast, we present a general SVM learning algorithm that efficiently finds a globally optimal solution to a… CONTINUE READING
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