Recommendation Systems. Joshi, A. V. In Machine Learning and Artificial Intelligence, pages 251–260. Springer International Publishing, Cham, 2023.
Paper doi abstract bibtex In this chapter, we will study an application of AI for building recommendation systems. We will look at the concept of collaborative filtering that lies at the heart of recommendation systems. We will also look at real-life examples of Netflix and Amazon and how they have used the technique to deliver personalized experiences in vastly different applications. These problems illustrate relatively novel concepts that were not well known to the field few decades before. The application of existing mathematical concepts in solving these problems and seeing the solutions in action in day-today life is quite exciting and satisfying and marks one of the greatest success stories of modern machine learning.
@incollection{joshi_recommendation_2023,
address = {Cham},
title = {Recommendation {Systems}},
isbn = {978-3-031-12282-8},
url = {https://doi.org/10.1007/978-3-031-12282-8_21},
abstract = {In this chapter, we will study an application of AI for building recommendation systems. We will look at the concept of collaborative filtering that lies at the heart of recommendation systems. We will also look at real-life examples of Netflix and Amazon and how they have used the technique to deliver personalized experiences in vastly different applications. These problems illustrate relatively novel concepts that were not well known to the field few decades before. The application of existing mathematical concepts in solving these problems and seeing the solutions in action in day-today life is quite exciting and satisfying and marks one of the greatest success stories of modern machine learning.},
language = {en},
urldate = {2025-08-01},
booktitle = {Machine {Learning} and {Artificial} {Intelligence}},
publisher = {Springer International Publishing},
author = {Joshi, Ameet V.},
year = {2023},
doi = {10.1007/978-3-031-12282-8_21},
pages = {251--260},
}
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