Eriks Sneiders

My flagship course teaches Information Retrieval and global search engines. Other teaching involves cloud computing, Artificial Intelligence, IT innovation in business settings.

Information Retrieval, more efficient communication, communication as a source for improving public and private services are my research directions.

My research background is automated question/e-mail answering. The latest work includes document retrieval where the accuracy of retrieval is comparable with that of automated question answering.

Information Retrieval and language technology have been successfully applied to make the communication between individuals and an organization's contact center more efficient by automatically satisfying some 60% of the inquiries. Furthermore, the communication embodies tacit knowledge about peoples needs, and extracting that knowledge is one key to improving public (e-government and e-democracy, C2G settings) or private (commercial, C2B settings) services.

I have supervised a few master theses that have resulted in conference and journal publications. The research topics include Industry 4.0, e-government adoption factors in developing countries, communication as a means of co-creation of public services, adoption of cloud computing.