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Learning to rank under tight budget constraints

Published:24 July 2011Publication History

ABSTRACT

This paper investigates the influence of pruning feature lists to keep a given budget for the evaluation of ranking methods. We learn from a given training set how important the individual prefixes are for the ranking quality. Based on there importance we choose the best prefixes to calculate the ranking while keeping the budget.

References

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  1. Learning to rank under tight budget constraints

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    • Published in

      cover image ACM Conferences
      SIGIR '11: Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
      July 2011
      1374 pages
      ISBN:9781450307574
      DOI:10.1145/2009916

      Copyright © 2011 Authors

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 24 July 2011

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      Overall Acceptance Rate792of3,983submissions,20%

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