Caching is a well-known concept in systems with multiple tiers of storage. For simplicity, consider a system storing N objects in relatively slow memory, that also has a smaller but faster memory buffer ofproposed a two-level caching scheme that combines caching of search results with the caching of frequently accessed postings lists. Prefetching of search engine results was studied from a theoretical point of view by Lempel and Moran in 2002 [6]. They observed that the work involved in query evaluation scales in a sub-linear manner with the number of results computed by the search engine. Then they proceeded to minimize the computations involved in query evaluations by opti- mizing the number of results computed per query. The optimization is based on a workload function that models both (i) the computations performed by the search engine to produce search results and (ii) the probabilistic manner by which users advance through result pages in a search session.
Web search result caching and prefetching
2009
Abstract
Caching is a well-known concept in systems with multiple tiers of storage. For simplicity, consider a system storing N objects in relatively slow memory, that also has a smaller but faster memory buffer ofproposed a two-level caching scheme that combines caching of search results with the caching of frequently accessed postings lists. Prefetching of search engine results was studied from a theoretical point of view by Lempel and Moran in 2002 [6]. They observed that the work involved in query evaluation scales in a sub-linear manner with the number of results computed by the search engine. Then they proceeded to minimize the computations involved in query evaluations by opti- mizing the number of results computed per query. The optimization is based on a workload function that models both (i) the computations performed by the search engine to produce search results and (ii) the probabilistic manner by which users advance through result pages in a search session.File | Dimensione | Formato | |
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