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Cost-aware strategies for query result caching in Web search engines

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Fig. 1. Query processing in a typical large-scale search engine.
Table II. Characteristics of the Query Log Variants Query log Number of distinct queries Number ofall queries Training Test Training Test
Fig. 2. Correlation of “query result size/collection size” on Yahoo! and (a) ODP, (b) Webbase, and (c) Webbase semantically aligned for the conjunctive processing mode.
Fig. 3. Normalized log-log scatter plot of the query CPU execution time and query frequency in the (a) ODP, (b) Webbase, and (c) Webbase semantically aligned query log.
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