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IEEE/ICACT20240453 Slide.06        [Big Slide]	Oral Presentation
	Phase of the Recommender Systems. Information collection: Gather user data and generate a profile or model with metadata, behavior, and attributes.. Recommender systems use explicit feedback, implicit feedback, or hybrid feedback to determine user preferences. Learning phase: A learning algorithm to filter Using user attributes from prior responses. Prediction/ Recommendation: Predict/recommend user-liked things. memory-based or model-based techniques applied on the collected data Can be achieved based on the previous activities of the user.

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