What is it about?

This paper aims to describe the usage of a hybrid weightage-based recommender system focused on books and implementing it at an industrial level, using various recommendation approaches. Additionally, it focuses on integrating the model into the most widely used platform application.

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Why is it important?

It is an industrial level implementation of a recommendation system by applying different recommendation approaches. This study describes the usage of a hybrid weightage-based recommender system focused on books and putting a model into the most used platform application.

Perspectives

This research outlines a hybrid weightage-based recommender system for books, emphasizing its industrial implementation and integration into popular platform applications, fostering personalized book recommendations at scale. By incorporating diverse recommendation approaches, it offers enhanced user experience and extends the reach of tailored book suggestions in real-world settings.

Dr. Debajyoty Banik

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This page is a summary of: Advanced weighted hybridized approach for recommendation system, International Journal of Web Information Systems, May 2023, Emerald,
DOI: 10.1108/ijwis-01-2022-0006.
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