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What is Recommendation Systems in E-Commerce about?

This document provides a survey of recommendation systems used in electronic commerce. It discusses how recommendation systems address the challenge of information overload by suggesting products or information of interest to users. The document then presents a framework for understanding recommendation systems, which involve users, items, user preferences on items, and item features. It proposes a taxonomy to classify recommendation systems into popularity-based, content-based, collaborative filtering-base

Author

fabrizio01

Language

EN