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.
| Identifer | oai:union.ndltd.org:MIT/oai:dspace.mit.edu:1721.1/7234 |
| Date | 01 July 2001 |
| Creators | Alvira, Mariano, Paris, Jim, Rifkin, Ryan |
| Source Sets | M.I.T. Theses and Dissertation |
| Language | en_US |
| Detected Language | English |
| Format | 10 p., 2186561 bytes, 257129 bytes, application/postscript, application/pdf |
| Relation | AIM-2001-012, CBCL-199 |
Page generated in 0.0023 seconds