A Deep Learning Model For A Hybrid Recommender System Of Online Resources / Sebihi,Abdelkader  

Public ISBD 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

Exemplaires (1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
MAI/0468	MAI/0468	Mémoire	Bibliothéque des sciences	Français	Disponible Disponible

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