SISTEM REKOMENDASI MUSIK BERDASARKAN KONTEKS MENGGUNAKAN CASE-BASED REASONING DAN SELF ORGANIZING MAP; MUSIC RECOMMENDATION SYSTEM BASED ON CONTEXT USING CASE-BASED REASONING AND SELF ORGANIZING MAP

Giri, Gst Ayu Vida M, Agus Harjoko

2015 | Disertasi | FMIPA

An effective music recommendation can decrease listener’s effort in choosing music that will be listened. Music recommendation is not only can be obtained based on genre or audio similarity, because listener’s music choices can be different in different context. This research used Case-Based Reasoning (CBR) for determining music recommendation based on context data and also Self Organizing Map (SOM) which is used as an indexing method in CBR. Inputs given by user to the system are user’s occasion and mood desired by user. The system output is a music playlist that suitable with user’s context and desired mood after listening music recommended by the system. Objectively, precision value produced by the system that used SOM as an indexing method is 0,707. It showed that the recommendation produced by the system is 70.7% relevant according to the mood inputted by the user. System that used occasion and mood context in determining recommendation had a higher precision value compared with the system which did not use occasion and mood context. It showed that the presence of mood and occasion can increase system precision in determining music recommendation.

Kata Kunci : Music recommendation; Case-Based Reasoning; Self Organizing Map; context