Design and implementation of an information system for the Allo Jibli service

Abstract

Recommendation systems have become extremely common in recent years. They can be used in a variety of applications and situations to make social life easier for individuals by generating categorized and personalized recommendations. and It assists the customer in locating information and making decisions when they lack the necessary knowledge to evaluate a specific item. Recommendation systems can be used as part of a variety of approaches to assist customers with effective information sorting. It is a software tool and techniques that provide suggestions based on the customer’s preferences in order to discover new appropriate things for them by filtering personalized data based on the user’s preferences from a large volume of data. To provide the most relevant suggestions, users’ tastes and preferences should be accurately constructed.In addition, we have described the various approaches used in recommender systems such as popularity-based, collaborative, and hybrid recommender systems . At the end of this paper, by studying various aspects of user recommender systems we will elaborate a system based on this technologies to build a strong and intelligent supply chain system that will revolutionize the way citizens of Sidi Bel Abbes order their food and groceries.