Hybrid and Ensemble-Based Personalized Recommender System - Solving Data Sparsity Problem.
2021 Third International Conference on Transdisciplinary AI (TransAI)（2021）
摘要
Online content streaming is the most popular form of entertainment in recent times due to COVID 19 lockdown. All popular streaming services use various product recommendation schemes to retain users to their services by intriguing them with content that they might like. Various recommendation systems have been used by famous streaming services like Netflix, Amazon Prime, Hulu, etc. but they lack c...
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关键词
COVID-19,Machine learning algorithms,Collaborative filtering,Entertainment industry,Machine learning,History,Recommender systems
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