Skip to main content

Group Representation and Profiling


Aggregation strategies; Group personalization; Group profiles; Group profiling; Group recommendations


IPTV (Internet Protocol Television):

A system through which television services are delivered using the Internet protocol suite over a packet-switched network such as the Internet

ROI (Return on Investment):

A performance measure used to evaluate the efficiency of an investment or to compare the efficiency of a number of different investments

VoD (Video on Demand):

A system which allows users to select and watch/listen to video or audio content on demand


Introduction: Why Profiling Groups?

In order to satisfy increasing needs for service personalization, mastering the knowledge of individual user profiles is no longer sufficient. Indeed, there exist numerous services which are consumed in a social or virtual environment. For example, to provide personalization services with a real added value for interactive IPTV, its content needs to be adapted (through...

This is a preview of subscription content, access via your institution.

Fig. 1
Fig. 2


  • Ardissono L, Goy A, Petrone G, Segnan M, Torasso P (2003) INTRIGUE: personalized recommendation of tourist attractions for desktop and handset devices. Appl Artif Intell 17(8–9):687–714

    CrossRef  Google Scholar 

  • Jameson A (2004) More than the sum of its members: challenges for group recommender systems. In: Proceedings of the international working conference on advanced visual interfaces, Gallipoli. ACM, New York, pp 48–54

    Google Scholar 

  • Masthoff J (2004) Group modeling: selecting a sequence of television items to suit a group of viewers. User Model User-Adap Inter 14:37–85

    CrossRef  Google Scholar 

  • Masthoff J (2011) Group recommender systems: combining individual models. In: Ricci F et al (eds) Recommender systems handbook. Springer, New York/London, pp 677–702

    CrossRef  Google Scholar 

  • McCarthy JF, Anagnost TD (1998) MusicFX: an arbiter of group preferences for computer supported collaborative workouts. In: Proceedings of the 1998 ACM conference on computer supported cooperative work, Seattle, pp 363–372

    Google Scholar 

  • McCarthy JF, Costa TJ, Liongosari ES (2001) Unicast, outcast & groupcast: three steps toward ubiquitous, peripheral displays. In: Abowd GD, Brumitt B, Shafer S (eds) UbiComp 2001, Atlanta, Lecture notes in computer science, vol 2201. Springer, Heidelberg, pp 332–345

    CrossRef  Google Scholar 

  • Nandi A, Aghasaryan A, Bouzid M (2011) P3: a privacy preserving personalization middleware for recommendation based services. In: Proceedings of 4th hot topics in privacy enhancing technologies symposium, Ottawa

    Google Scholar 

  • O’Connor M, Cosley D, Konstan JA, Riedl J (2001) PolyLens: a recommender system for groups of users. In: Proceedings of ECSCW, Bonn, pp 199–218

    Google Scholar 

  • Senot C, Kostadinov D, Bouzid M, Picault J, Aghasaryan A, Bernier C (2010) Analysis of strategies for building group profiles. In: Proceedings of UMAP, Hawaii

    Google Scholar 

  • Tang L, Wang X, Liu H (2011) Group profiling for understanding social structures. ACM Trans Intell Syst Technol 3(1):Article 15

    Google Scholar 

  • Yu Z, Zhou X, Hao Y, Gu J (2006) A TV program recommendation for multiple viewers based on user profile merging. User Model User-Adap Inter 16(1):63–82

    CrossRef  Google Scholar 

Download references

Author information

Authors and Affiliations


Corresponding author

Correspondence to Armen Aghasaryan .

Editor information

Editors and Affiliations

Section Editor information

Rights and permissions

Reprints and Permissions

Copyright information

© 2017 Springer Science+Business Media LLC

About this entry

Cite this entry

Aghasaryan, A., Bouzid, M., Kostadinov, D.D., Picault, J. (2017). Group Representation and Profiling. In: Alhajj, R., Rokne, J. (eds) Encyclopedia of Social Network Analysis and Mining. Springer, New York, NY.

Download citation

  • DOI:

  • Received:

  • Accepted:

  • Published:

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-7163-9

  • Online ISBN: 978-1-4614-7163-9

  • eBook Packages: Springer Reference Computer SciencesReference Module Computer Science and Engineering