Recommender Systems Handbook /

This third edition handbook describes in detail the classical methods as well as extensions and novel approaches that were more recently introduced. It consists of five parts: general recommendation techniques, special recommendation techniques, value and impact of recommender systems, human compute...

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Bibliographic Details

Corporate Author:	SpringerLink (Online service)
Other Authors:	Ricci, Francesco (Editor), Rokach, Lior (Editor), Shapira, Bracha (Editor)
Format:	eBook
Language:	English
Published:	New York, NY : Springer US : Imprint: Springer, 2022.
Edition:	3rd ed. 2022.
Subjects:	Data mining. Information storage and retrieval systems. Artificial intelligence. Application software. Data Mining and Knowledge Discovery. Information Storage and Retrieval. Artificial Intelligence. Computer and Information Systems Applications. Electronic books.
Online Access:	Connect to the full text of this electronic book