Rummble Labs: Launch Of Next Generation Personalisation Technology

Providing ecommerce and media enterprises with a powerful platform for delivery of highly relevant, highly personalised content to their customers.

LONDON--(BUSINESS WIRE)--Rummble Labs, a provider of personalised recommendations technology based on proprietary trust algorithm, today announced the first phase of its launch.

“Every two days we create as much information as we did from the dawn of civilisation up until 2003”

According to Eric Schmidt, Chairman of Google, "Every two days we create as much information as we did from the dawn of civilisation up until 2003”.

With this continuing flood of information, Rummble Labs provides a compelling solution that filters out all the “noise” and delivers only the most relevant, most accurate and most meaningful data, precisely at the moment most useful to the consumer.

Targeting enterprises seeking “best in class” customer experience, including e-commerce, social networking, media streaming and advertising companies, Rummble Labs has begun working with selective partners 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 technology allows users to discover new products and services that they may have never considered, experience services uniquely tailored to their “taste and needs”, and to engage with brands with intimacy never before possible. For enterprises, all this translates to “best in class” user experience, minimised customer “annoyance”, and added revenues.

Rummble Labs has pioneered an innovative approach that automatically optimizes 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.
Louisa East, Commercial Director at Rummble Labs who joined this week from San Francisco, commented: “Rummble Labs aims to change the way in which people can find recommendations for products and services whether that be clothes, wines, music or books.
With web users crying out for more personalised content, we look to help drive this new Age of Relevance.”

Rummble Labs have an adaptable API that is highly scalable to process large volumes of data. It has been developed over three years in conjunction with leading academic institutions and evolved from technology begun at Rummble.
Rummble Labs was selected as one of 31 leading UK digital companies for this year's UK Trade & Investment (UKTI) Mission to SXSW Interactive 2011. This trip will see the companies travel out to Austin, Texas for a five day trip in and around South by South West Interactive, one of the largest conferences focused on digital media and technology.

About Rummble Labs

Rummble Labs is a provider of personalised recommendations based on proprietary trust algorithm. Targeting enterprises seeking “best in class” customer experience, including e-commerce, social networking, media streaming and advertising companies. Rummble Labs has begun working with selective partners 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.