A Recommendation Engine Model for Giant Social Media Platforms using a Probabilistic Approach
Existing recommender system algorithms often find it difficult to interpret and, as a result, to extract meaningful recommendations from social media. Because of this, there is a growing demand for more powerful algorithms that are able to extract information from low-dimensional spaces. One such ap...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
D. G. Pylarinos
2023-10-01
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| Series: | Engineering, Technology & Applied Science Research |
| Subjects: | |
| Online Access: | http://www.etasr.com/index.php/ETASR/article/view/6325 |