Recommender models are commonly used to suggest relevant items a user for e-commerce and online advertisement-based applications. These use massive embedding tables store numerical representation of items' users' categorical variables (memory intensive) employ neural networks (compute generate final recommendations. Training these large-scale recommendation is evolving require increasing data c...

Abstract This paper aims to illustrate an automated system developed give formative and personalized feedback teachers in training. It is expert (Paviotti, Rossi & Zarka, 2012) that uses concrete examples, cases scenarios guide the engaged learners (Leake, 1996). In this regard, able create questionnaires, deliver them, collect analyze data, send participants provide information about their...