Ranked Bandits in Metric Spaces: Learning Diverse Rankings over Large Document Collections
Aleksandrs Slivkins and Filip Radlinski and Sreenivas Gollapudi

Ranked Bandits in Metric Spaces: Learning Diverse Rankings over Large Document Collections.pdf325.55kB
Type: Paper
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Bibtex:
@article{14:14,author={Aleksandrs Slivkins and Filip Radlinski and Sreenivas Gollapudi}, Title={Ranked Bandits in Metric Spaces: Learning Diverse Rankings over Large Document Collections},journal={Journal of Machine Learning Research},volume={14}, url={http://www.jmlr.org/papers/volume14/slivkins13a/slivkins13a.pdf}}


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