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...
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Language: | en_US |
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2004
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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 |