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By George Norman - Software News Editor

Added on 11 Aug 2009(518 Views)

As far as online search goes, Google holds the lion’s share with approximately 70% of the market. The way Google managed to gain such a percentage is by providing the user with a properly good search experience. Now the Mountain View-based company would like you to help it make that experience better – and in this regard Google is inviting you to test its new web search architecture as part of a web developer preview, commonly referred to as the “Caffeine update.”

“For the last several months, a large team of Googlers has been working on a secret project: a next-generation architecture for Google's web search. It's the first step in a process that will let us push the envelope on size, indexing speed, accuracy, comprehensiveness and other dimensions,” explained Sitaram Iyer, Staff Software Engineer, and Matt Cutts, Principal Engineer.


The new infrastructure, added Iyer and Cutts is not visible to the regular user as it “sits under the hood of Google’s search engine”. The only ones that might see a difference are web developers and power searchers. Google would like these categories of users (but any other users are welcomed just the same) to put the next-generation architecture through its paces and provide feedback on it.

All you have to do is visit www2.sandbox.google.com and do a search. At the bottom of the results page you will notice a “ Dissatisfied? Help us improve ” link. To provide your feedback, just click that link and type away. Make sure to include the word “caffeine” in your message.

“Right now, we only want feedback on the differences between Google's current search results and our new system. We're also interested in higher-level feedback ("These types of sites seem to rank better or worse in the new system") in addition to "This specific site should or shouldn't rank for this query." Engineers will be reading the feedback, but we won't have the cycles to send replies,” added Iyer and Cutts.





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Tags: Google, Web search, Caffeine, Search architecture

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