SEQUENTIAL PATTERN-BASED ENHANCED GRAPH EMBEDDING WITH SIDE INFORMATION FOR RECOMMENDATION SYSTEM
This final project focuses on utilizing Sequential Pattern Mining (SPM) as a preprocess method for Enhanced Graph Embedding with Side Information or EGES input (Wang et al., 2018). The purpose of this project is to build a graph embedding that has a high transaction certainty by replacing the inp...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/49943 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
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