Taschenbuch. Etat : Neu. Neuware -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.VDM Verlag, Dudweiler Landstra�e 99, 66123 Saarbr�cken 100 pp. Englisch. N� de r�f. du vendeur 9786207429196

Contacter le vendeur

Acheter neuf

EUR 60,90

Exp�dition �EUR 60
Exp�dition depuis Allemagne vers Etats-Unis

Quantit� disponible : 2 disponible(s)

Ajouter au panier

Image fournie par le vendeur

Recommendation Systems based on Collaborative Filtering | New approaches

Mohammed Benbrahim (u. a.)

Edit� par Our Knowledge Publishing, 2024

ISBN 10 : 6207429192 ISBN 13 : 9786207429196

Neuf Taschenbuch

impression � la demande

Vendeur : preigu, Osnabr�ck, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Contacter le vendeur

Acheter neuf

EUR 51,80

Exp�dition �EUR 70
Exp�dition depuis Allemagne vers Etats-Unis

Quantit� disponible : 5 disponible(s)

Ajouter au panier

Image fournie par le vendeur

Recommendation Systems based on Collaborative Filtering : New approaches

Mohammed Benbrahim

Edit� par Our Knowledge Publishing, 2024

ISBN 10 : 6207429192 ISBN 13 : 9786207429196

Neuf Taschenbuch

impression � la demande

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. N� de r�f. du vendeur 9786207429196

Contacter le vendeur

Acheter neuf

EUR 61,63

Exp�dition �EUR 60,84
Exp�dition depuis Allemagne vers Etats-Unis

Quantit� disponible : 1 disponible(s)

Ajouter au panier

Recommendation Systems based on Collaborative Filtering - Couverture souple

Benbrahim, Mohammed; El Fazziki, Abdellah

R�sultats de recherche pour Recommendation Systems based on Collaborative Filtering