Road to faster search engines?

[zankaon]

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?

 

[K.J.Healey]

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)

 

[quicknote]

I can say that utilizing a cache of the most frequent search words and phrases could potentially lead to faster search engines. This approach is already commonly used in computer systems to improve performance and reduce the time it takes to retrieve frequently accessed data. By storing the most commonly searched terms in a cache, the search engine can quickly access this information without having to go through the entire database every time.

Having multiple distributive caches for different processors and associated memories could also contribute to faster search engine performance. This would allow for parallel processing, where multiple caches are accessed simultaneously, reducing the overall search time.

However, it is important to note that there are other factors that can affect search engine speed, such as the complexity of the search algorithms and the hardware capabilities of the system. Therefore, while utilizing a cache of frequently searched terms can certainly improve search engine speed, it may not be the sole solution for achieving a 25% increase in speed.

In addition, as a scientist, I must also consider the potential drawbacks of this approach. Maintaining a constantly updated cache of 100,000 search terms would require significant resources and could potentially slow down the system if not managed efficiently. It is also important to consider the security and privacy implications of storing such a large amount of user data.

In conclusion, while utilizing a cache of the most frequent search terms and having multiple distributive caches could potentially lead to faster search engine performance, it is important to carefully consider all aspects and potential drawbacks before implementing such a solution. Further research and testing would be needed to determine the exact impact of this approach on search engine speed.