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Abstract The usage of Building Automation Systems (BAS) and Energy Management Systems (EMS) is indeed becoming ever more common… Expand Recently, indoor positioning systems (IPSs) have been designed to provide location information of persons and devices. The… Expand A common task of recommender systems is to improve customer experience through personalized recommendations based on prior… Expand Recommender systems represent user preferences for the purpose of suggesting items to purchase or examine. They have become… Expand The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Many… Expand BOINC (Berkeley Open Infrastructure for Network Computing) is a software system that makes it easy for scientists to create and… Expand In this study, we consider the online consumer as both a shopper and a computer user. We test constructs from information systems… Expand It is increasingly common for computer users to have access to several computers on a network, and hence to be able to execute… Expand Collaborative filtering or recommender systems use a database about user preferences to predict additional topics or products a… Expand This paper reports on a technique for measuring and analyzing computer user satisfaction. Starting with the literature and using… Expand