Stakeholders Analysis for Serendipitous Recommenders system in Learning Environments
Ahmad Hassan Afridi · Procedia Computer Science · 2018
This paper reports on a 360 degree stakeholder analysis for the study and design of a study material recommender system at Institute of Management Sciences, Peshawar, Pakistan. During the survey we collected data from 300 students, 50 teachers and the librarian regarding the preferences towards study material recommender systems within the institute. Different than traditional study material recommender systems, we aim to provide a recommender system that enables the user to control on the outcomes of recommender system to accuracy until serendipitous recommendations. By doing so, we aim to empower the students and enable them to interact and control the provided recommendations in light of their respective needs. To further understand the user control needs of the stakeholders, we explicitly asked about user control aspects for the planned study material recommender system. We learned that there is strong need among all three stakeholder groups for user control of recommender systems.