Space-Efficient top-k document retrieval

  • Authors:
  • Gonzalo Navarro;Daniel Valenzuela

  • Affiliations:
  • Dept. of Computer Science, Univ. of Chile, Chile;Dept. of Computer Science, Univ. of Chile, Chile

  • Venue:
  • SEA'12 Proceedings of the 11th international conference on Experimental Algorithms
  • Year:
  • 2012

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Abstract

Supporting top-k document retrieval queries on general text databases, that is, finding the k documents where a given pattern occurs most frequently, has become a topic of interest with practical applications. While the problem has been solved in optimal time and linear space, the actual space usage is a serious concern. In this paper we study various reduced-space structures that support top-k retrieval and propose new alternatives. Our experimental results show that our novel structures and algorithms dominate almost all the space/time tradeoff.