Sociocast.com - Personalized Content Recommendations

Sociocast is a new endeavour that aims to provide internauts with a personalized content delivery platform they can rely upon. The system works by taking into account personal aspects such as the sites the users have recently visited along with the preferences and tastes of the friends making up their social networks. In practice, this means that not only do people get recommendations that specifically cater for them, but web-based advertisers are also benefited as they are provided with a ready target audience that in theory will find the ads interesting.

This approach is termed on the site as “passive observation, not exhaustive questioning”. It appears to be an unobtrusive way of actually collating information that will mean more than rating-based techniques. This also has the added advantage of changing as the tastes and preferences of the user change. For its part, the social network analysis is described under the “Neighborhood Formation” title, and the contextual acquisition of information is concisely set forth.

The final aspect of the system that is discussed online is the prediction tool at play, and how the provided solution will attempt to predict what information will be transferred among members of a network and which specific behaviors are going to be adopted as the network itself evolves and branches out.

“For Sociocast, harnessing the power of networks does not mean adding more information, it means adding intelligence - leveraging self-organizing, contextual networks to personalize information delivery and enhance consumer experiences.”

It makes for more concise browsing, saving users both time and money.

How does this program better already existing endeavors such as RichRelevance and Aggregate Knowledge?”