Show simple item record

dc.contributor.authorNguyen TN
dc.contributor.authorRicci F
dc.contributor.editor
dc.date.accessioned2018-05-29T08:30:58Z
dc.date.available2018-05-29T08:30:58Z
dc.date.issued2017
dc.identifier.isbn978-1-4503-4486-9
dc.identifier.urihttp://dx.doi.org/10.1145/3019612.3019764
dc.identifier.urihttps://dl.acm.org/citation.cfm?id=3019764
dc.identifier.urihttp://hdl.handle.net/10863/5075
dc.description.abstractGroup recommender systems (GRSs) support users in a group when facing decision making tasks. Many GRSs simply perform a one shot aggregation of the individual preferences and then compute recommendations. In this paper, we propose a different approach; it allows users to iteratively express and revise their preferences during the decision making process and supports such a conversational process with a chat-based interface. The implemented system observes users'interactions with the discussed options and offers appropri- ate support as well as recommendations to facilitate group members to come up with an agreement and a final decision. We have evaluated the effectiveness of our approach by conducting a controlled live user study. The empirical results show that the mobile application that implements the proposed approach achieves usability as well as high recommendation quality and choice satisfaction.en_US
dc.language.isoenen_US
dc.publisherAssociation for Computing Machinery, Incen_US
dc.rights
dc.titleDynamic elicitation of user preferences in a chat-based group recommender systemen_US
dc.typeBook chapteren_US
dc.date.updated2018-05-15T13:05:34Z
dc.publication.titleProceedings of the ACM Symposium on Applied Computing
dc.language.isiEN-GB
dc.description.fulltextreserveden_US


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record