Internet has not remained now simply a network of documents rather it has turned conversation in a network of people. The social web generates a stream of citations of things like documents, videos, pictures, etc which people are talking about. Searching through this stream of citations means separating the network of people from the things they discuss. Being able to do this is key to Topsy approach.

Today, with the explosion of social networking platforms like Twitter more and more links to interesting information originate from people, from the conversation streams within the social web. Topsy is designed to extract the collective signal from the social web in real-time. To measure the relative importance of each search result, Topsy examines the links being mentioned, the description of these links and the influence of each person citing a link.

Topsy is a next age band search engine, with a new-fangled way of looking at the web. It doesn’t think the Internet is a collection of documents. Or even a web of documents. Topsy sees the Internet as a stream of conversations. Topsy treats people differently from the webpages they create and the things they say. And Topsy sees that people in every community are connected in a web of relationships, where each person influences other people to read, talk and think about things.

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Topsy augments traditional search engines by finding interesting and relevant information that people are talking about. If other people are discussing it, Topsy thinks you might find it interesting and relevant too! When you search for something on Topsy, such as “rHour“, it finds snippets of conversations that match what you’re looking for. Topsy results are the things people link to, when they’re talking about your search terms. Topsy ranks results based on how well they match your search terms, and the influence of the people talking about them.

So let’s Topsy out!

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