CONTENT-BOOSTED COLLABORATIVE FILTERING FOR RATING PREDICTION USING ARTIFICIAL NEURAL NETWORK
Recommender system is a popular technology that answers the need of finding relevant information immediately. Collaborative filtering as one of the methods in recommender system has been widely used because of its various advantages. Still, this method has main problem related to data sparsity which...
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| Main Author: | |
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| Format: | Theses |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/42812 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
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