PURCHASING AND SELLING GOODS RECOMMENDER SYSTEM USING PROGRESSIVE MINING OF SEQUENTIAL PATTERNS (PISA) WITH MULTI CONSTRAINT
Bukalapak recommender system has been transformed from Content-Based which uses the similarity between name and item’s description to the similarity between other users’ preferences. However, the recommender system should have attracted users’ preferences holistically. Moreover, there are several...
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| Main Author: | |
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/51143 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |