Group adaptation and group modelling

Judith Masthoff

Research output: Chapter in Book/Report/Conference proceedingChapter

5 Citations (Scopus)

Abstract

This chapter shows how a system can adapt to a group of users by aggregating information from individual user models and modelling the users’ affective state. It summarizes results from previous research in this area. It also shows how group adaptation techniques can be applied when adapting to individuals, in particular for solving the cold-start problem and dealing with multiple criteria.
Original languageEnglish
Title of host publicationIntelligent Interactive Systems in Knowledge-Based Environments
EditorsMaria Virvou, Lakhmi C. Jain
Place of PublicationBerlin, Germany
PublisherSpringer Science+Business Media
Pages157-173
Number of pages17
Volume104
ISBN (Electronic)978-3540774716
ISBN (Print)3642096174, 978-3642096174
DOIs
Publication statusPublished - 29 Nov 2008

Publication series

NameStudies in Computational Intelligence
PublisherSpringer Science+Business Media
Number104
ISSN (Print)1860-949X

Cite this

Masthoff, J. (2008). Group adaptation and group modelling. In M. Virvou, & L. C. Jain (Eds.), Intelligent Interactive Systems in Knowledge-Based Environments (Vol. 104, pp. 157-173). (Studies in Computational Intelligence ; No. 104). Springer Science+Business Media. https://doi.org/10.1007/978-3-540-77471-6_9