Recommender Systems in E Learning Environments

Multimedia services are now commonly used in various activities in the daily lives of humans. Related application areas include services that allow access to large depositories of information, digital libraries, e-learning and e-education, e-government and e-governance, e-commerce and e-auctions, e-entertainment, e-health and e-medicine, and e-legal services, as well as their mobile counterparts (i.e., m-services).

This book constitutes the refereed proceedings of the 13th International Conference on Intelligent Tutoring Systems, ITS 2016, held in Zagreb, Croatia, in June 2016.

Use the Power of Google Cloud Computing To Build Sate-of-Art Recommender Systems

A systematic tour of foundational RL, from k-armed bandits to planning via Markov Decision Processes and TD learning

This book aims to present a number of innovative security enhanced applications. The book is a quality guide for teaching purposes as well as for young researchers since it presents leading innovative contributions on security enhanced applications on various Information Systems. It involves cases based on the standalone, network and Cloud environments.