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IEEE/ICACT20240453 Slide.04        [Big Slide]	Oral Presentation
	Different types of recommender systems Content-based uses the content information of the items for building the recommendation model . Collaborative filtering : is a technique used to make automatic predictions about the preference of a user derived by analyzing the preferences of other users that have similar interests Hybrid methods: this recommendation is built by integrating many recommender systems for greater reliability For example, Collaborative filtering, which fails when new things don't have ratings, can be used with content-based systems, which provide feature information.

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