Item Group Recommendation: A Method Based on Game Theory

Full text for this resource is not available from the Research Repository.

Zhang, L, Zhou, Rui ORCID: 0000-0001-6807-4362, Jiang, H, Wang, Hua ORCID: 0000-0002-8465-0996 and Zhang, Yanchun ORCID: 0000-0002-5094-5980 (2017) Item Group Recommendation: A Method Based on Game Theory. In: 26th International World Wide Web Conference, 2017, 3 Apr 2017 - 7 Apr 2017, Perth, Western Australia.

Dimensions Badge

Altmetric Badge

Item type Conference or Workshop Item (Paper)
URI https://vuir.vu.edu.au/id/eprint/38184
DOI https://doi.org/10.1145/3041021.3051149
Official URL https://dl.acm.org/citation.cfm?doid=3041021.30511...
ISBN 9781450349147
Subjects Historical > FOR Classification > 0801 Artificial Intelligence and Image Processing
Historical > FOR Classification > 0806 Information Systems
Historical > Faculty/School/Research Centre/Department > Centre for Applied Informatics
Keywords item group; item recommendation; nash equilibrium based item group recommendation; NIGR; user preference
Citations in Scopus 5 - View on Scopus
Download/View statistics View download statistics for this item

Search Google Scholar

Repository staff login