A Cost-Aware Strategy for Query Result Caching in Web Search Engines

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2009-01-01

Author

Altıngövde, İsmail Sengör
Ulusoy, Oezguer

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Search engines and large scale IR systems need to cache query results for efficiency and scalability purposes. In this study, we propose to explicitly incorporate the query costs in the static caching policy. To this end, a query’s cost is represented by its execution time, which involves CPU time to decompress the postings and compute the query-document similarities to obtain the final top-N answers. Simulation results using a large Web crawl data and a real query log reveal that the proposed strategy improves overall system performance in terms of the total query execution time.

Subject Keywords

Query Processing, Query Cost, Query Processing Time, Frequent Query Query, Execution Time

URI

https://hdl.handle.net/11511/33161

DOI

https://doi.org/10.1007/978-3-642-00958-7_59

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Department of Computer Engineering, Conference / Seminar

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Citation Formats

İ. S. Altıngövde and O. Ulusoy, “A Cost-Aware Strategy for Query Result Caching in Web Search Engines,” 2009, vol. 5478, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/33161.