Free online recommendation service

Goombah is an awesome, free software also available for Mac, that belongs to the category Audio software with subcategory Music.

More about Goombah

Since the software was added to our catalog in 2005, it has already achieved 1,833 downloads, and last week it had 11 downloads.The program version is 0.98.15 and its last update was on 5/18/2007. Goombah is available for users with the operating system Windows 2000 and previous versions, and it is available in English.About the download, Goombah is a light program that takes up less storage than the average program in the section Audio software. It’s a program very heavily used in India, Germany, and Bangladesh.

User-Controlled Radio Player: Users can select all or some of their recommendations, as well as music from other members’ libraries, and create a playlist of full-length tracks via Napster’s service, free.

Changes

• User-Controlled Radio Player: Users can select all or some of their recommendations, as well as music from other members’ libraries, and create a playlist of full-length tracks via Napster’s service, free.

Unless you spend hours a day on the Internet sifting through tons of music, finding the tracks you want can be tedious. Goombah harnesses the power of the community to find the music you want. Using distributed computing to analyze and match iTunes music libraries, Goombah finds each user’s “nearest neighbors” in music. iTunes music libraries are revealed to neighbors, and used to generate highly reliable music recommendations. That means that music fans who use iTunes can now find others who best match their tastes, wherever they are in the world. Users are automatically connected to online music stores where they can sample and purchase recommended music. And free music will soon be recommended to Goombah users with this same precision.

Goombah operates by automatically passing along recommendations based on the new tracks people play, not what is most marketed. The effect snowballs—the more a song is played, the more it is recommended, the more people hear it, and so on. As the Goombah community grows, our large-scale distributed-computing approach to recommendation has the potential to become the world’s most precise music recommendation engine.