One Llama Media Inc, a Machine Learning Software Technology company specializing in music and media personalization and recommendation, has entered into a development and distribution partnership with Moodmixer GmbH, for the development of a program that involves machine assisted media channel creation. The deal makes One Llama the exclusive distributor of Moodmixer™ Software in the US. The web based system will allow users to develop highly customized background music and video channels for use in retail and other commercial environments.

Moodmixer™ is famous for products with sophisticated scheduling and sequencing capabilities, that are successfully used in many locations around Europe, while One Llama’s collaborative filtering and music similarity matching technology enable media channel programmers to take custom channel creation to a new level of sophistication by automating title pool creation and seamlessly blending transitions between sets of music by similarity.

“The combination of Moodmixer™ and One Llama technology will take background media channel creation to a new level of sophistication making it more cost effective than ever before possible.” According to Stuart Volkow, President of One Llama Media.

Kerstin Laveatz, Managing Director of Moodmixer GmbH, commented on the motivation for the deal. “Our web based software is the best in the world at automated long form media channel creation. The only labor intensive aspect of our system today is choosing the title pool. One Llama can help automate this, and other aspects of our system so that any providers can create highly customized, scheduled, 24/7 channels in new more powerful ways.”

About Moodmixer GmbH.

The German Moodmixer GmbH produces unique and universally employable sequencing and efficiency tools for multimedia applications. Moodmixer™ technology automates the selection and assembly of digital data for nonstop running programs. Moodmixer™-Systems are being used for background music and instore-radio generation in hotels, restaurants and large retail chains; offer automated distribution and online monitoring. Internet radio stations use Moodmixer™ auto playlist tools to produce special interest or niche channels and save up to 98% of administration time. The web-based systems help to create new cross medial marketing campaigns (i.e. promote online sales in Instore radio, show playlists of Instore radio online etc.) and reduce costs for professional music supply dramatically.

With the Moodmixer™ selection engine also dynamic product shows or interactive content displays can be generated, enabling online shops or content providers to efficiently advertise specific products at low cost and market the long tail or niche products at the same time by giving them a much higher visibility.

The Moodmixer™ Concept has been awarded an innovation prize in Germany in 2008.

About One Llama Media Inc.

Applications of the One Llama technology include music search and recommendations by track, artist, and playlist, providing contextual ad serving, based on almost any metadata set, as well as pattern and anomaly detection in nearly any type of signal that can be expressed as a waveform.

The One Llama team has collaborated with world-class experts in Information Sciences, Semantic Web and Music Information Retrieval in a relentless quest to hone their technology. Over the past two years the know how has been leveraged into a best in class, collaborative filtering engine that is capable of analyzing even very large datasets of almost any kind, and returning a wide variety of recommendations to users. Proprietary algorithms feature advanced mathematical techniques, including latent semantic analysis.

One Llama music search and discovery tools have been available online to consumers since 2007. In December 2008 OLMI launched RADIO ONELLAMA, an Internet radio application that allows users to search over 30,000 streaming radio stations by track, artist, genre and popularity.

OneLlama’s back end systems are expressed as web services Application Programming Interfaces (APIs) which are highly customizable and easy to integrate into almost any Web 2.0 environment. Additional products include acoustic analysis and feature extraction, machine assisted classification and audio asset management tools for organizing and managing large music and audio collections, including classification and data embedding for BWAV, MP3 and AIFF formats. OLMI’s music asset management tools are deployed commercially by EMI Music Publishing to serve one of the world’s largest music collections.

http://www.onellama.com