Personalized content discovery, analyzing social media profiles and browsing history to suggest relevant articles and videos
Prismatic is a news aggregation and recommendation application that aims to personalize online content for each individual user. It utilizes advanced machine learning algorithms to analyze a user's social media activity, browsing behavior, clicked links, and reading history in order to determine their interests and preferences.
Once a user profile is established, Prismatic's technology continually scans thousands of online sources to find and recommend timely articles, blog posts, videos, and more that align with the user's tastes. The emphasis is on discovering long-tail content that specific readers will appreciate rather than presenting the most widely viewed stories of the day.
Key features of Prismatic include:
Overall, Prismatic aims to act as a news curator and concierge for online readers overwhelmed by information overload. By learning about each individual over time, it helps filter down the internet's endless stream of content into a manageable flow of interesting and relevant recommendations.
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