3 Real time Search Engines to Catch up with the Social Scoop

In: web 2.0

29 Oct 2009

With Bing from Microsoft implementing real time search results from Twitter. And, Google planning to implement social results very soon. Adding on to the buzz, Yahoo signs a real time search deal with OneRiot. So, real time search is totally in the air and search engines are seriously on the game for a test.

Reviewing real time search engines this week, we stumbled upon a bunch of them which we think are worth mentioning. The site we found the most innovative and deserves to go on top of my list is Scoopler.

scoopler2

What can you do at Scoopler? Simple and easy: realtime searches on Delicious, Flickr, Digg, YouTube user’s posts, and of course Twitter’s which is always on top of the result lists, and many more.

The best thing about Scoopler is that it’s quick, effective, offers search history and hot topicsĀ  and popular searches with categories (videos, links, etc.). It was really interesting to find no ads and no need for subscription.

The second site we found interesting is OneRiot.

oneriot

So, if you want to know what your friends or other social network users are chatting about you can search it in this site. What makes OneRiot to stand out over other search engines is that instead of struggling to dredge interesting results from the huge stream of social related data, it rakes the links users share on most popular social networking sites like Twitter or Digg, indexes the results and supplies realtime updated significant content.

Similarly, TOPSY is another amazing realtime search engine mostly focused on Twitter.

topsy
Topsy searches the conversations looking for snippets that match what you are looking for and delivers what people are linking when talking about the things you are searching for. These results are ranked on how similar they are to your search and how popular is the topic among users. To sum up you get fresh relevant content, moreover, due to its “trackback” pages TOPSY can also display content from the past. One interesting detail is that the first index consists only on Twitter status.

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