Group Recommendations: Survey and Perspectives

Authors

  • Michal Kompan Institute of Informatics and Software Engineering, Faculty of Informatics and Information Technologies, Slovak University of Technology, Ilkovičova 2, 842 16 Bratislava
  • Maria Bielikova Institute of Informatics and Software Engineering, Faculty of Informatics and Information Technologies, Slovak University of Technology, Ilkovičova 2, 842 16 Bratislava

Keywords:

Group recommendation, satisfaction modeling, social aspects, state-of-the-art

Abstract

The popularity of group recommender systems has increased in the last years. More and more social activity is generated by users over the Web and thus not only domains as TV, music or holidays are used and researched anymore for group recommendation, but also collaborative learning support, digital libraries and other domains seems to be promising for group recommendation. Moreover, principles of group recommenders can be used in order to overcome some single user recommendation shortcomings, such as cold start problem. Numerous group recommenders have been proposed, they differ in application domains which are specific in group characteristics. Today's group recommenders do not include and use the power of social aspects (group structure, social status etc.), which can be extracted and derived from the group. We provide a survey of group recommendation principles for the Web domain and discuss trends and perspectives in this field.

Downloads

Download data is not yet available.

Author Biographies

Michal Kompan, Institute of Informatics and Software Engineering, Faculty of Informatics and Information Technologies, Slovak University of Technology, Ilkovičova 2, 842 16 Bratislava

Michal,Kompan is currently a doctoral student at the Institute of Informatics and Software Engineering, Slovak University of Technology in Bratislava. He received master degree in 2010 from the same university. His research interests are in the areas of personalized recommendation systems for single or group of users, user modeling and social networks.

Maria Bielikova, Institute of Informatics and Software Engineering, Faculty of Informatics and Information Technologies, Slovak University of Technology, Ilkovičova 2, 842 16 Bratislava

Mária Bieliková received her Master degree (with summa cum laude) in 1989 and her PhD. degree in 1995, both from the Slovak University of Technology in Bratislava. Since 2005, she has been a full professor, presently at the Institute of Informatics and Software Engineering, Slovak University of Technology. Her research interests are in the areas of software web-based information systems, especially personalized context-aware web-based systems including user modeling and social networks. She co-authored over 60 papers in international scientific journals and she is editor of more than 30 proceedings, six of them published in Lecture Notes in Computer Science series of Springer. She is a member of IEEE Computer Society, ACM and International Society for Web Engineering.

Downloads

Published

2014-06-27

How to Cite

Kompan, M., & Bielikova, M. (2014). Group Recommendations: Survey and Perspectives. COMPUTING AND INFORMATICS, 33(2), 446–476. Retrieved from http://www.cai.sk/ojs/index.php/cai/article/view/1077