Recommendation approach of ed ucational resources in a fre-quent subnet

Sara, Gasmi; Tahar, Bouhadada; Abdelmadjid, Benmachiche

المجلة الجزائرية للعلوم
Volume 3, Numéro 6, Pages 51-55
2019-06-03

Recommendation Approach Of Ed Ucational Resources In A Fre-quent Subnet

Authors : Sara Gasmi . Tahar Bouhadada . Abdelmadjid Benmachiche .

Abstract

Recommendation systems or recommender systems (RS) are subset of of information used to anticipate the "assessment" or "preference" that a user would transmit to an item.The main idea of recommender system is to build relationship between the articles, users and make the decision to select the most appropriate articles to a specific user. There are three main ways that recommender systems produce a list of recommendations for a user content based, Collaborative, and hybrid filtering. Data mining is one of the important analysis techniques used in RS to predict user interest in information, products and services among the vast amount of available items. The data mining techniques that are most commonly used in RS • classification, clustering and association rule discovery.The objective of our work is to propose a model to customize educational resources based on connections between users in frequent networks. This model makes it possible to calculate the similarity between a user and his friends of the same frequent subnet.