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Titlebook: String Processing and Information Retrieval; 19th International S Liliana Calderón-Benavides,Cristina González-Caro, Conference proceedings

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Ranked Document Retrieval in (Almost) No Space,e compressed text space, and take tens to hundreds of microseconds per query. In this paper we show how ranked document retrieval queries can be solved within tens of milliseconds using essentially . over an in-memory compressed representation of the document collection. More precisely, we enhance w
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A Study on Novelty Evaluation in Biomedical Information Retrieval,e that this measure may not necessarily yeild a higher score for the rankings that honor above expectations better. We propose an improved measure to reflect such expectations more precisely, and present some supporting evidences.
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Space-Efficient Computation of Maximal and Supermaximal Repeats in Genome Sequences,s paper, we present a new space-efficient algorithm for finding maximal repeats in massive data that outperforms their algorithm both in theory and practice. The algorithm is not confined to this task, it can also be used to find all supermaximal repeats or to solve other problems space-efficiently.
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Ranked Document Retrieval in (Almost) No Space,avelet trees on bytecodes (WTBCs), a data structure that rearranges the bytes of the compressed collection, so that they support ranked conjunctive and disjunctive queries, using just 6%–18% of the compressed text space.
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Impact of Regionalization on Performance of Web Search Engine Result Caches,cover the hit rate sacrificed to search result regionalization. Our results indicate that prefetching achieves a reasonable increase in the result cache hit rate under regionalization of search results.
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