The Audiomomma Music Recommendation System
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...
| Main Authors: | , , |
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| Language: | en_US |
| Published: |
2004
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| Subjects: | |
| Online Access: | http://hdl.handle.net/1721.1/7234 |
| _version_ | 1811096779724161024 |
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| author | Alvira, Mariano Paris, Jim Rifkin, Ryan |
| author_facet | Alvira, Mariano Paris, Jim Rifkin, Ryan |
| author_sort | Alvira, Mariano |
| collection | MIT |
| description | 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. |
| first_indexed | 2024-09-23T16:48:54Z |
| id | mit-1721.1/7234 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T16:48:54Z |
| publishDate | 2004 |
| record_format | dspace |
| spelling | mit-1721.1/72342019-04-10T11:52:47Z The Audiomomma Music Recommendation System Alvira, Mariano Paris, Jim Rifkin, Ryan AI 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. 2004-10-20T21:03:36Z 2004-10-20T21:03:36Z 2001-07-01 AIM-2001-012 CBCL-199 http://hdl.handle.net/1721.1/7234 en_US AIM-2001-012 CBCL-199 10 p. 2186561 bytes 257129 bytes application/postscript application/pdf application/postscript application/pdf |
| spellingShingle | AI Alvira, Mariano Paris, Jim Rifkin, Ryan The Audiomomma Music Recommendation System |
| title | The Audiomomma Music Recommendation System |
| title_full | The Audiomomma Music Recommendation System |
| title_fullStr | The Audiomomma Music Recommendation System |
| title_full_unstemmed | The Audiomomma Music Recommendation System |
| title_short | The Audiomomma Music Recommendation System |
| title_sort | audiomomma music recommendation system |
| topic | AI |
| url | http://hdl.handle.net/1721.1/7234 |
| work_keys_str_mv | AT alviramariano theaudiomommamusicrecommendationsystem AT parisjim theaudiomommamusicrecommendationsystem AT rifkinryan theaudiomommamusicrecommendationsystem AT alviramariano audiomommamusicrecommendationsystem AT parisjim audiomommamusicrecommendationsystem AT rifkinryan audiomommamusicrecommendationsystem |