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• W805525192 abstract "Traveling and city sightseeing are, in most cases, activities that involve small groups of users. Hence, a content personalization process, in a travel domain, requires taking into account simultaneously the preferences of different users. Moreover, a group recommendation system should also capture the possible intra-group relationships, which are fundamental features in a group decision process. In this paper, we model this problem as a multi-agent aggregation of preferences by using weighted social choice functions. In this context, weights can be extracted by analyzing the interactions of the group’s members on Online Social Networks." @default.
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• W805525192 date "2015-01-01" @default.
• W805525192 modified "2023-10-18" @default.
• W805525192 title "Combining Users and Items Rankings for Group Decision Support" @default.
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• W805525192 doi "https://doi.org/10.1007/978-3-319-19629-9_17" @default.
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