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What is Collaborative Recommender Systems

Chapter 163
Encyclopedia of Information Science and Technology, Fourth Edition
Recommender systems that recommend items through user collaborations and are the most widely used and proven method of providing recommendations. There are three types: user-to-user collaborative filtering based on user-to-user similarity, item-to-item collaborative filtering based on item-to-item similarity, and latent factor-based collaborative filtering based on user-item matrix factorization.
Published in Chapter:
Recommender Technologies and Emerging Applications
Young Park (Bradley University, USA)
Copyright: © 2018 |Pages: 11
DOI: 10.4018/978-1-5225-2255-3.ch163
Full Text Chapter Download: US $37.50 Add to Cart
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Chapter 123
Recommender Systems: An Overview
Recommender systems that recommend items through consumer collaborations and are the most widely used and proven method of providing recommendations. There are two types: user-to-user collaborative filtering based on user-to-user similarity and item-to-item collaborative filtering based on item-to-item similarity.
Published in Chapter: Recommender Systems: An Overview; From: Encyclopedia of E-Business Development and Management in the Global Economy
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 76
Personalized Recommendation: Approaches and Applications
Recommender systems that recommend items through consumer collaborations and are the most widely used and proven method of providing recommendations. There are two types: user-to-user collaborative filtering based on user-to-user similarity and item-to-item collaborative filtering based on item-to-item similarity.
Published in Chapter: Personalized Recommendation: Approaches and Applications; From: Encyclopedia of E-Commerce Development, Implementation, and Management
Full Text Chapter Download: US $37.50 Add to Cart
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