CONTENT-BASED MULTI-CONTEXT-AWARE MUSIC RECOMMENDER SYSTEM DEVELOPMENT WITH BAYESIAN NETWORK
Recent few music recommender systems are still using conventional recommender system algorithms, which are content-based filtering and collaborative filtering. However, these algorithms sometimes could still give recommendation that doesn’t fit user’s preferences. Therefore, utilization of user’s...
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| Main Author: | |
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/39853 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |