The Audiomomma Music Recommendation System
Author(s) • •
Alvira, Mariano
Paris, Jim
Rifkin, Ryan
Date Issued
July 1, 2001
Series/Report no.
AIM-2001-012
CBCL-199
Abstract
We design and implement a system that recommends musicians to listeners. The basic idea is to keep track of what artists a user listens to, to find other users with similar tastes, and to recommend other artists that these similar listeners enjoy. The system utilizes a client-server architecture, a web-based interface, and an SQL database to store and process information. We describe Audiomomma-0.3, a proof-of-concept implementation of the above ideas.
Subjects
AI
Persistent DSpace Link