Music search and recommendation engine
What we offer:
Recommender systems are a specific type of information filtering technique that attempts to
present information (movies, music, books, news, images, web pages, etc.) that are likely of
interest to the user. Typically, a recommender system compares the user's profile to some
reference characteristics, and seeks to predict the 'rating' that a user would give to an item
they had not yet considered. These characteristics may be from the information item (the
content-based approach) or the user's social environment.
The incorporation of the music acoustic similarity technology in hybrid music recommendation
systems of mobile music services introduces users to new and exciting usages. Using this
system, a user can search songs that are similar to others like a web based search engine
displays search results that have somehow a degree of similarity between them. Therefore,
the users of the technology have an easy access to new experiences like music navigation
and audio browsing.
The developed system improves current discovery and search tools in music recommendation
services by reducing obstacles like scalability and one-sized selections. It also provides an
easy access to unclassified music collections like MySpace among others.
The technology can also be used in mobile or web-based marketing strategies as it can
recommend musics that are similar to the ones that the user had bought/heard.
This technology can be used by radios, music editors, online and mobile marketing
What are we looking for:
We are looking for different types of collaboration within the media industry
- ] radio
- ] management & systems
- ] content creation
- ] consultancy & professional services
- ] content management
- ] video, music, games
- technical consultancy
- License Agreement