Rummble Labs solves the data overload problem for media and e-commerce companies seeking “best in class” personalised user experience. By combining precise tracking of user activity (such as article reads, comments, purchases, ratings and reviews) with social data, Rummble Labs creates a unique behavioural profile for each individual; in turn delivering the most precise and relevant recommendations, and encouraging targeted social sharing through our unique Social Prediction widget.
Our unique Trust Graph calculates degrees of similarity between people across multiple dimensions (i.e. just because you trust someone’s taste for sushi restaurants, it doesn’t mean you will have the same taste in music). This promotes discovery across the long tail of digital content, and solves the “cold start problem” for first time users.
Rummble Labs has pioneered an innovative approach that automatically optimises the selection of the most appropriate combination of algorithms (such as collaborative filtering, the trust algorithm and semantic analysis), based upon the type of data and context.