SNARC Information

SNARC helps discovering content by highlighting whats meaningful in a quick, smart and personalized manner. SNARC finds whats interesting by learning from the content, the social web and you. SNARC monitors and pre-qualifies URLs shared across my social network, then uses a three-fold process to filter the content that will be most useful to you: - Content Modeling: SNARC parses the data from each piece of content and then analyzes the content for key terms, classifications and metadata. - User Modeling: SNARC watches both your passive and active feedback. Over time SNARC builds a model of your interests. SNARC helps people stay up to date with topics of their interest by analysing users social profiles to create an interest graph (List of topics they are interested in), these topics will be used to: - Automatically filter their social stream - Recommending news and social posts SNARC offers a set of three tools: - An API that will recommend news and social posts relevant to the current webpage is the user is visiting - Browser extensions that will show relevant articles, social media posts and videos on the page itself in an automatic and seamless way - An independent personalised news digest (Personalised Flipboard) that will show an enhanced filtered version of the user social stream