One of the biggest problems with any social network is the dreaded spectre of TMI: Too Much Information. This can range from finding out what old high school acquaintances had for lunch to finding out a distant relative is “in a relationship”…with another relative.
But an ideal solution would be to mould the torrent of info, both relevant and spurious, into just what you want when you wanted, or didn’t even know you needed.
Worio is a web search technology initially designed by University of British Columbia students and funded by Canada’s National Research Council and PRECARN. Worio uses semantic search to enhance standard search engine queries and suggest individualized results. But today the site has unveiled a new feature that allows you to make those same discoveries via Facebook.
By using Facebook’s new Open Stream API, noting status updates, comments, link sharing and other activity, Worio is able to point users at new sites that are tailored to their interests. Using Worio via Facebook is as easy as installing the Facebook app, and then acting as per normal and letting Worio’s AI do the rest.
“As the amount of information in our social feeds rises, it is increasingly difficult to find the items that are most relevant to us. Worio’s artificial intelligence algorithms learn from the social activity of your network of friends to deliver personalized discoveries to your feed.” Mike Klaas, CTO of Worio.