Could Cache Optimization Boost Search Engine Speed by 25%?

AI Thread Summary
Implementing a cache of the 100,000 most frequently searched words and phrases could lead to significantly faster search engine performance, potentially improving speed by 25%. The idea suggests using multiple distributive caches across various processors and memory systems, which may already be in practice. While current search speeds are generally perceived as instant, there is still interest in enhancing user experience through features like an auto-fill option similar to Firefox's suggestion dropdown, which could be beneficial on search engine main pages.
zankaon
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Might a road to significantly faster search engines (25% faster) be via use of a cache of say the 100,000 most frequent search words and phrases utilized, typical for over a year? Might one have perhaps a number of distributive caches for a multitude of different processors and associated memories?
 
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I think that's probably already done. Google has a statistics page where it shows the most common words searched of the day. It doesn't really feel like there needs to be much of a speed increase. Anything I type in seems to be pretty much instant.

I wouldn't mind an auto-fill feature like the "suggestion" dropdown when searching using the top right bar in firefox. (having that on the main page)
 
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