This book comprehensively covers the topic of recommender systems (RS), which provide personalized recommendations of items or services to new users based on their past behavior. Recommender system methods have been adapted to diverse applications, including movie recommendations. This book synthesizes fundamental and advanced topics in the research area of RS. An the industry point of view, an individual item or product recommendation system can help develop better sales. Chapter 1 discusses the basic concept of recommender systems. Chapter 2 provides insight into various work done by researchers. Chapter 3 discusses both memory and modeling along with grid search optimization techniques of RS. Chapter 4 deals with the deep learning approach of RS to overcoming issues of traditional RS. Chapter 6 Insights into the future research scope of RS.

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