Collective Intelligence

I would like to share few things about harnessing collective Intelligence in web which I read recently in an article. Collective Intelligence usually refers to combining the behavior, preferences, or ideas of a group of people to create novel insights. Whether you’re a bulding startup, a recognized market leader, or looking to take an emerging application or web site to the next level, harnessing information from users improves the perceived value of the application to both current and prospective users. This improved value will not only encourage current users to interact more, but will also attract new users to the application. The value of the application further improves as new users interact with it and contribute more content. This forms a self reinforcing feedback loop, commonly known as a network effect, which enables wider adoption of the service. Amazon’s recommendation systems, Wikipedia, Google’s page ranking etc are top most examples in today’s web application. Collecting answers from a large group of people lets you draw statistical conclusions about the group that no individual member would have known by themselves. Hence harnessing collective intelligence play a vital role in a web2.0 application.