A Search Engine That Relies on Humans
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A Search Engine That Relies on Humans
A report this week laying out a strategy for social search has been getting a good deal of attention in tech circles. The paper, “Anatomy of a Large Scale Social Search Engine,” was written by Damon Horowitz and Sepandar Kamvar of Aardvark, one of several companies working on creating social search engines. As of October 2009, Aardvark had about 90,000 users.
Social search aims to connect people with questions to people who can answer those questions. By contrast, regular Web searches take questions, break them into keywords, and then find Web sites that have the most relevance to these keywords. The idea has been floating around tech circles for years. Yahoo, among others, has tried to develop social search as a way to challenge Google.
The idea has gained momentum with the increased use of Twitter and Facebook, where people rely on their networks for information, blasting queries to their social networks and, if their networks are good enough, getting useful, personalized responses.
More
Social search aims to connect people with questions to people who can answer those questions. By contrast, regular Web searches take questions, break them into keywords, and then find Web sites that have the most relevance to these keywords. The idea has been floating around tech circles for years. Yahoo, among others, has tried to develop social search as a way to challenge Google.
The idea has gained momentum with the increased use of Twitter and Facebook, where people rely on their networks for information, blasting queries to their social networks and, if their networks are good enough, getting useful, personalized responses.
More

Doctor Inferno- The GeekPolice

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