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IEEE/ICACT20240453 Slide.03        [Big Slide]	Oral Presentation
	Different types of recommender systems To bring out valuable insight from the massive amount of data with speed and precision, recommender systems rely on various data mining techniques for information retrieval The one criterion that is used to classify them is the filtering technique : Collaborative, Content-based and hybrid Collaborative filtering is based on trust and emotion. It can be slit into many categories : model-based, memory based, clustering based, matrix and tensor factorization etc..

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