PERFORMANCE IMPROVEMENT OF STREAM-CENTERED PROBABILISTIC MATRIX FACTORIZATION METHOD USING WEIGHTED RESERVOIR SAMPLING AND PARALLEL COMPUTING
Application of the recommender system on the online platform turns out to produce a large volume of data and at an unexpected rate, making it more realistic to study the recommender system under streaming settings. Many studies have tried to develop a streaming recommendation system, one of which...
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| Format: | Theses |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/50585 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |