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Tag: search engine

Google ready to launch a Microblogging Search Engine

by flotruglio on mar.07, 2010, under Developers

Google prepares to launch a service that indexes and ranks content from microblogging services like Twitter. Since it’s very easy to post updates and the posts are usually very short, micro-blogging services are great for live blogging, posting real-time information about an event.

Twitter’s search engine has two important drawbacks: it’s limited to Twitter and it sorts the results by date. While there are other search engines like Tweefind that try to sort Twitter posts by relevancy and search engines like Twingly that index multiple microblogging sites, none of them does a great job. (continue reading…)

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turn your Roomba into a “search engine”

by flotruglio on mar.04, 2010, under Tutorial

By adding an on-board computer and a camera on a Roomba, the Roomba can be used to index your home. As a bonus, you can also control the Roomba across an internet connection, and see the images from the camera — a spybot for you to check on your own home while you are out.

read the full tutorial at http://www.gaaglebot.com/

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Google PageRank and Tweeter

by flotruglio on feb.18, 2010, under are you curious?

you know that there is an Algorithm that judge the relevance of microblog posts containing 140 characters or less?

Yes it exists! Google to make more useful searches that return results from the so called real time web (such as Tweeter) has adaped its page ranking technology and developed new algorithmic tricks and filters to keep returns relevant, according to a leading Google engineer.

Google claims to offer the most comprehensive real-time results by scanning news headlines, blogs, and feeds from Facebook, MySpace, Twitter, and other sources.

The tweets are a mainstay of Google’s real-time results, but Google has not previously discussed how it ranks them. A fundamental Google strategy for identifying tweet relevance is analogous to that used by Google’s PageRank technology, which helps find relevant Web pages with traditional Web search. Under PageRank, Google judges the importance of pages containing a given search keyword in part by looking at the pages’ link structure. The more pages that link to a page–and the more pages linking to the linkers–the more relevant the original page.

In the case of tweets, the key is to identify “reputed followers,” says Amit Singhal, a Google Fellow, who led development of real-time search. (Twitterers “follow” the comments of other Twitterers they’ve selected, and are themselves “followed.”). (continue reading…)

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