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Recommender Systems for Marketplaces by aasis2211108 is a document available to read on EtoBox.

This research focuses on developing a collaborative filtering-based recommender system for marketplace applications to help users discover alternative marketplaces with better prices and promotions. The study employs a literature review and data analysis to provide tailored recommendations based on user habits and ratings. The ultimate goal is to enhance customer satisfaction and increase marketplace sales by guiding users to optimal shopping options.

Author
aasis2211108
Language
EN