Abstract
Modern information retrieval systems use several levels of caching to speedup computation by exploiting frequent, recent or costly data used in the past. In this study we propose and evaluate a static cache that works simultaneously as list and intersection cache, offering a more efficient way of handling cache space. In addition, we propose effective strategies to select the term pairs that should populate the cache. Simulation using two datasets and a real query log reveal that the proposed approach improves overall performance in terms of total processing time, achieving savings of up to 40% in the best case.
This work was partially supported by EU-IRSES project EUSACOU 247574, by EU FET project MULTIPLEX 317532 and by UBACyT Project 20020120100058 “Herramientas algorítmicas avanzadas para aplicaciones de búsqueda en Internet - Parte 2”.
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Tolosa, G., Becchetti, L., Feuerstein, E., Marchetti-Spaccamela, A. (2014). Performance Improvements for Search Systems Using an Integrated Cache of Lists+Intersections. In: Moura, E., Crochemore, M. (eds) String Processing and Information Retrieval. SPIRE 2014. Lecture Notes in Computer Science, vol 8799. Springer, Cham. https://doi.org/10.1007/978-3-319-11918-2_22
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DOI: https://doi.org/10.1007/978-3-319-11918-2_22
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