Evaluation of a Big Data System for Online Search (Case Study)

Abstract

As soon as they became aware of online search innovations, technologists began to design and develop tools to help users better understand this new search mode connected to massive data in constant evolution. To achieve the goal of online search, it is crucial to create a reliable environment where learners can find the information they are looking for and use it in a simpler way. In this context, we propose to design a Big Data tool that would support users in their search for information. Our main goal in this article is to provide an intelligent architecture that allows to process massive and unstructured data to provide the best result for the learner. For our study, we proposed conducting a sample survey of future system criteria that concerns the performance and the quality when using online search, through the submission of questionnaires for a set of students who represent future users of our online search platform. We have exposed the different factors that may impact the learner when using online search system, as well as the criteria for simplicity and usability of our future solution.