Group Recommender Systems / SpringerBriefs in Electrical and Computer Engineering (PDF)

systems. These topics include amongst others recommendation technologies for group decision tasks, different aspects of human learning and decision making behavior as well as different methods of knowledge acquisition. He published over 35 publications at international workshops, conferences, and journals. He has long-term experience in software projects and special expertise in the areas of mobile devices, Web-programming, and Web-applications.

Ludovico Boratto is a researcher in the Data Science and Big Data Analytics research group at Eurecat. His research interests focus on Data Mining and Machine Learning approaches, mostly applied to recommender systems and social media analysis. The results of his research have been published in top-tier journals, such as Information Sciences (Elsevier) and IEEE Intelligent Systems. His research activity also brought him to give talks and tutorials at top-tier conferences (e.g., ACM RecSys 2016, IEEE ICDM 2017) and research centers (Yahoo! Research). He has been guest editor of special issues for several ISI and Scopus indexed journals, such as "Information Systems Frontiers" (Springer), "Journal of Intelligent Information Systems" (Springer), "International Journal of Human-Computer Studies" (Elsevier), and "Information Retrieval Journal" (Springer). He has also been part of the program committee of the main Data Mining and Web conferences, such as RecSys 2017, WSDM 2017, ICWSM 2017 and 2018, IUI 2017, and TheWebConf 2018. In 2012, he received a Ph.D. at the University of Cagliari, where he was a research assistant until May 2016. In 2010 and 2014 he spent 10 months at Yahoo! Research in Barcelona as a visiting researcher. He is a member of the ACM.

Marko Tkalcic is Assistant Professor at the Faculty of Computer Science at the Free University in Bolzano, Italy. He received his PhD from the Faculty of Electrical Engineering at the University of Ljubljana in 2011. After a postdoc at the University of Ljubljana, he worked as a postdoc at the Johannes Kepler University in Linz, Austria from 2013 to 2015. From 2016 he is with the Free University of Bolzano. His research explores ways in which psychologically-motivated user characteristics, such as emotions and personality, can be used to improve personalized systems. It employs methods such as user studies and machine learning. Dr. Tkalcic has published in prestigious journals, such as Elsevier Information Sciences and Springer UMUAI. He has presented at venues, such as RecSys and UMAP. Recently he edited the book Emotions and Personality in Personalized Systems with Springer. He is active in organizing conferences (RecSys 2017, UMAP 2017) and workshops (EMPIRE, SOAP, HUMANIZE), editing special issues, and reviewing for prestigious journals, conferences, and grant bodies. He is a member of the editorial board of the UMUAI journal.