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arXiv · 1111.4395

Practical Top-K Document Retrieval in Reduced Space

Gonzalo Navarro·Daniel Valenzuela
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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 algorithms and data structures dominate almost all the space/time tradeoff.

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Gonzalo Navarro, Daniel Valenzuela. 2011-11-18. Practical Top-K Document Retrieval in Reduced Space. https://arxiv.org/abs/1111.4395

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