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IEEE/ICACT20240453 Slide.15        [Big Slide]	Oral Presentation
	Conclusion Recommendation systems are a way to stay ahead of the curve and achieve larger business goals like increasing sales, ad revenue, and user engagement.  Recommendation systems must adapt to remain relevant and effective as user behaviors, preferences, and needs change. Agility is also essential for recommendation systems.  Agile recommendation systems evolve, considering what works and what doesn't and additional data sources that help improve recommendations. By continually evaluating and enhancing AI- powered recommendation systems, businesses like health-Care can achieve their goals while providing their users with the best possible experience.

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