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Today recommender systems are widely used not only in e-commerce but in e-learning as well. They are actually made use of in the latter environment to suggest resources and learning materials to learners and, thus, contribute in improving the quality of both teaching and learning. In this paper, we put forward a new recommendation system that provides(More)
Nowadays, recommender systems are considered as one of the basic pillars of e-commerce as they help users to take decisions easily. These systems involve a multitude of techniques ranging from hybrid filtering mechanisms to techniques derived from statistics or artificial intelligence. In the present paper, we put forward an improved recommender system that(More)
Currently the variety of possibilities of browsing the Web either via PCs, tablets or mobile phones has allowed learners to have access to a large repository of learning resources. However, given that most e-learning platforms, mainly used by universities and academic institutions around the world, do not actively follow the technological development as(More)
Social media are part and parcel of the daily lives of millions of people all over the world and have a tremendous impact upon every facet of our personal and professional lives. Given that a large number of internet users are students and teachers, social media platforms seem to greatly influence the way we teach and learn. In fact, as these tools(More)
The focus of this paper is on investigating the feasibility of using ANFIS combined with DEA for supplier's post-evaluation. The proposed framework aims at modeling performance measurement, and forecasting of a selected hospital's drug suppliers. Even though it is broadly employed as a benchmarking tool to evaluate DMUs efficiency, DEA can hardly be used to(More)
The objective of the present paper is to propose an improved Ant Colony System (ACS) algorithm based on a Hidden Markov Model (HMM) so as dynamically adapt the local pheromone decay parameter ξ. The proposed algorithm uses Iteration and Diversity as indicators of the hidden states in the search space in ACS. To test the efficiency of our algorithm,(More)
Blood demand and supply management are considered one of the major components of a healthcare supply chain, since blood is a vital element in preserving patient's life. However, forecasting it faces several challenges including frequent shortages, and possible expiration caused by demand uncertainty of hospitals. This uncertainty is mainly due to high(More)
The aim of this paper is to propose a new method capable of dynamically controlling the evaporation parameter in an Ant Colony System (ACS) using a Hidden Markov Model. The purpose is to improve the performance of ACS by controlling the exploration and exploitation in the search space. To this end, two HMM approaches are proposed. The first is a training(More)