
Recommendation Systems based on Collaborative Filtering
New approaches
Our Knowledge Publishing
Published on 24. April 2024
Book
Paperback/Softback
100 pages
978-620-7-42919-6 (ISBN)
Description
Collaborative filtering (CF) is a popular recommendation approach that has been extensively researched over the last two decades, resulting in a diverse set of algorithms and a large collection of tools to evaluate their performance. This research proposes a new recommendation approach to deal with the problems of grey sheep and data sparsity, with the aim of improving prediction accuracy by inferring new users from existing users in datasets. This transformation creates users with preferences opposite to those of real users, thereby increasing the number of users and solving the two problems mentioned. The performance of this approach has been evaluated using two datasets, MovieLens and FilmTrust. Overall, this book contributes to the development of better recommender systems capable of overcoming the challenges of data overload and improving user experience.
More details
Language
English
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 220 mm
Width: 150 mm
Thickness: 7 mm
Weight
167 gr
ISBN-13
978-620-7-42919-6 (9786207429196)
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Schweitzer Classification
Persons
Abdellah El Fazziki ist Doktor der Informatik an der Universität Sidi Mohamed Ben Abdellah und hat sich auf Empfehlungssysteme spezialisiert.Mohammed Benbrahim ist Professor an der Universität Sidi Mohamed Ben Abdellah, Koordinator des Masterstudiengangs Smart Industry und Direktor des Labors für Systemtechnik, -modellierung und -analyse.