Titre :	A Deep Learning Model For A Hybrid Recommender System Of Online Resources
Type de document :	texte imprimé
Auteurs :	Sebihi,Abdelkader, Auteur ; Mediani,Chahrazed, Directeur de thèse
Editeur :	Setif:UFA
Année de publication :	2021
Importance :	1 vol (70 f .)
Format :	29 cm
Langues :	Français (fre)
Catégories :	Thèses & Mémoires:Informatique
Mots-clés :	Machine learning Deep learning Recommender systems
Index. décimale :	004 - Informatique
Résumé :	Recommender system is a tool for interacting with large scale and complex information space. They provide personalized views and prioritized items likely to be of interest to the user. The field was named in 1995 and has been greatly developed in the various problems solved, the technology used and its practical application. Recommender systems research has incorporated a wide variety of artificial intelligence techniques including machine learning, data mining, user modeling, case-based reasoning, and constraint satisfaction, among others. Personalized and prioritized recommendations are an important part of many on-line e-commerce applications such as Amazon. com, Netflix, and Pandora.
Côte titre :	MAI/0468
En ligne :	https://drive.google.com/file/d/1-ZZ1i0PobHJ_2WhxueC8d6w_YP4IxTvk/view?usp=shari [...]
Format de la ressource électronique :	pdf

A Deep Learning Model For A Hybrid Recommender System Of Online Resources [texte imprimé] / Sebihi,Abdelkader, Auteur ; Mediani,Chahrazed, Directeur de thèse . - [S.l.] : Setif:UFA, 2021 . - 1 vol (70 f .) ; 29 cm.
Langues : Français (fre)

Catégories :	Thèses & Mémoires:Informatique
Mots-clés :	Machine learning Deep learning Recommender systems
Index. décimale :	004 - Informatique
Résumé :	Recommender system is a tool for interacting with large scale and complex information space. They provide personalized views and prioritized items likely to be of interest to the user. The field was named in 1995 and has been greatly developed in the various problems solved, the technology used and its practical application. Recommender systems research has incorporated a wide variety of artificial intelligence techniques including machine learning, data mining, user modeling, case-based reasoning, and constraint satisfaction, among others. Personalized and prioritized recommendations are an important part of many on-line e-commerce applications such as Amazon. com, Netflix, and Pandora.
Côte titre :	MAI/0468
En ligne :	https://drive.google.com/file/d/1-ZZ1i0PobHJ_2WhxueC8d6w_YP4IxTvk/view?usp=shari [...]
Format de la ressource électronique :	pdf