Combining Demographic Data with Collaborative Filtering for Automatic Music Recommendation | Zendy

Billy Yapriady | Zendy; Alexandra L. Uitdenbogerd | Zendy

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Combining Demographic Data with Collaborative Filtering for Automatic Music Recommendation

Author(s) -

Billy Yapriady,

Alexandra L. Uitdenbogerd

Publication year - 2005

Publication title -

lecture notes in computer science

Language(s) - English

Resource type - Book series

SCImago Journal Rank - 0.249

H-Index - 400

eISSN - 1611-3349

pISSN - 0302-9743

ISBN - 3-540-28897-X

DOI - 10.1007/11554028_29

Subject(s) - collaborative filtering , computer science , demographics , recommender system , affect (linguistics) , artificial intelligence , simple (philosophy) , data mining , data science , machine learning , demography , philosophy , epistemology , sociology , linguistics

It has been shown in several studies that demographics such as gender, socio-economic background and age affect one's musical tastes. In this work we combine these factors with traditional collaborative filtering techniques in order to improve recommendation precision. We propose a simple measure for combining the data and show that it has potential for this application.

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