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A Recommendation System (also known as Recommender System) is built for the purpose of recommending similar items to the user based on their interest. The item can be anything like movies, music, books, songs, etc. Many famous platforms such as Netflix and YouTube also use recommendation system. This paper focuses on comparing and studying the performance of the Recommender System for books that uses various different techniques such as k-means Clustering, PCA, Feature Selection, etc.
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Sandhiya et al. (2024) studied this question.
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