Combining Users and Items Rankings for Group Decision Support

被引：14

作者：

Rossi, Silvia ^{[1
]}

Caso, Antonio ^{[2
]}

Barile, Francesco ^{[2
]}

机构：

[1] Univ Naples Federico II, Dipartimento Ingn Elett & Tecnol Informaz, Naples, Italy

[2] Univ Naples Federico II, Dipartimento Fis, Naples, Italy

来源：

TRENDS IN PRACTICAL APPLICATIONS OF AGENTS, MULTI-AGENT SYSTEMS AND SUSTAINABILITY: THE PAAMS COLLECTION | 2015年 / 372卷

关键词：

Group Decision Making; Social Choice; Group Recommendation; Small Groups; Social Networks;

D O I：

10.1007/978-3-319-19629-9_17

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：151 / 158

页数：8

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