Collaborative Filtering Recommendation Systems Algorithms, Strengths and Open Issues

Recommendation systems recommender systems are a subcategory of information filtering that is utilized to determine the preferences of users towards certain items. These systems emerged in the 1990’s and they have since changed the intelligence of both the web and humans. Vast amounts of research pa...

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Bibliographic details
Main Author: Manamolela, Lefats’e
Zuva, Tranos
Appiah, Martin
Format: Book Chapter
Language: English
Place of publication: Cham Springer International Publishing 15.12.2020
published in: Software Engineering Perspectives in Intelligent Systems pp. 148 - 163
Related: Kacprzyk, Janusz
Pal, Nikhil R
Bello Perez, Rafael
Corchado, Emilio S
Hagras, Hani
Kóczy, László T
Kreinovich, Vladik
Lin, Chin-Teng
Lu, Jie
Melin, Patricia
Nedjah, Nadia
Nguyen, Ngoc Thanh
Wang, Jun
Data of publication: 20201215
ISBN: 3030633187
9783030633189
EISBN: 3030633195
9783030633196
ISSN: 2194-5357
2194-5365
EISSN: 2194-5365
Discipline: Computer Science
Series: Advances in Intelligent Systems and Computing
Advs in Intelligent Syst., Computing
Subjects:
Online Access: available in Bonn?
Database: Database information not found
Database information Databases - DBIS