A Recommendation Engine Model for Giant Social Media Platforms using a Probabilistic Approach

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...

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Bibliographic Details
Main Authors: Aadil Alshammari, Mohammed Alshammari
Format: Article
Language:English
Published: D. G. Pylarinos 2023-10-01
Series:Engineering, Technology & Applied Science Research
Subjects:
artificial intelligence
machine learning
recommender systems
probabilistic models
social media
Online Access:http://www.etasr.com/index.php/ETASR/article/view/6325

Internet

http://www.etasr.com/index.php/ETASR/article/view/6325

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