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More than the sum of its members: challenges for group recommender systems
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Proceedings of the working conference on Advanced visual interfaces table of contents
Gallipoli, Italy
SESSION: Improving interaction table of contents
Pages: 48 - 54  
Year of Publication: 2004
ISBN:1-58113-867-9
Author
Anthony Jameson  DFKI, German Research Center for Artificial Intelligence, Saarbrücken, Germany
Sponsors
: Regione Puglia
: Provincia di Lecce
: Comune di Corigliano d'Otranto
: Camera di Commercio di Brindisi
: Monte dei Paschi di Siena
: Università degli Studi di Bari
: Università degli Studi di Lecce
SIGMULTIMEDIA: ACM Special Interest Group on Multimedia
: Università degli Studi dell'Aquila
Publisher
ACM  New York, NY, USA
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ABSTRACT

Systems that recommend items to a group of two or more users raise a number of challenging issues that are so far only partly understood. This paper identifies four of these issues and points out that they have been dealt with to only a limited extent in the group recommender systems that have been developed so far. The issues are especially important in settings where group members specify their preferences explicitly and where they are not able to engage in face-to-face interaction. We illustrate some of the solutions discussed with reference to the TRAVEL DECISION FORUM prototype. The issues concern (a) the design of suitable preference elicitation and aggregation methods, in particular nonmanipulable aggregation mechanisms; and (b) ways of making members aware of each other's preferences and motivational orientations, such as the use of animated representatives of group members.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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