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Due to the rapid growth of the Web from a few thousand pages in 2000 to its current size of several billion pages, users increasingly depend on web search engines for locating relevant information. One of the main challenges for search engines is to provide a good ranking function that can identify the most useful results from among the many relevant pages, and a lot of research has focused on how to improve ranking, the authors present an effective caching scheme that reduces the computing and I/O requirements of a Web search engine without altering its ranking characteristics. The novelty is a two-level caching scheme that simultaneously combines cached query results and cached inverted lists on a real case search engine.
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