|Description||Personalised recommendations technology|
|Venture Round, 6/2010 |
Rummble Labs provides personal recommendations for content by creating a unique trust network that calculates trust scores between people.
Working with enterprises seeking best in class customer experience, including e-commerce, social networking, media streaming and advertising companies, Rummble Labs is looking to solve the data overload problem. Through precise tracking of user activity such as purchases, reviews, ratings, postings, check-ins, likes and comments, Rummble Labs is able to create a complete trust graph; in turn delivering precise and relevant data and recommendations.
Rummble Labs has pioneered an innovative approach that automatically optimises the selection of the most appropriate recommendation algorithm, or combination of algorithms (such as collaborative filtering, the trust algorithm and semantic analysis), based upon the type of data and context. Further, the platform constantly evolves to provide more intelligent insights as additional patterns are formed. This proprietary API is built from scientifically validated algorithms that filter data in real-time to increase the accuracy and reach of personalisation.