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EATOUT: Leveraging the Dynamics of Leadership in Group Recommendation Systems
https://ipsj.ixsq.nii.ac.jp/records/235804
https://ipsj.ixsq.nii.ac.jp/records/235804d34f416c-83d4-46ea-b932-a767c063e727
名前 / ファイル | ライセンス | アクション |
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Copyright (c) 2024 by the Information Processing Society of Japan
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Item type | National Convention(1) | |||||||||
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公開日 | 2024-03-01 | |||||||||
タイトル | ||||||||||
タイトル | EATOUT: Leveraging the Dynamics of Leadership in Group Recommendation Systems | |||||||||
言語 | ||||||||||
言語 | eng | |||||||||
キーワード | ||||||||||
主題Scheme | Other | |||||||||
主題 | データとウェブ | |||||||||
資源タイプ | ||||||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_5794 | |||||||||
資源タイプ | conference paper | |||||||||
著者所属 | ||||||||||
九大 | ||||||||||
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九大 | ||||||||||
著者名 |
兪, 佩錦
× 兪, 佩錦
× 木實, 新一
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論文抄録 | ||||||||||
内容記述タイプ | Other | |||||||||
内容記述 | In the domain of group recommendation systems (GRS), addressing the preferences of individuals with similar tastes is of utmost significance. Given the inherent diversity of opinions within a group, existing GRS techniques typically aggregate individual preferences into a collective group preference for providing recommendations. This paper introduces an innovative approach to group recommendation systems, with a specific focus on small groups sharing common interests. We introduce a web-based restaurant recommendation system designed for increased user satisfaction within small-scale groups. Drawing insights from group decision-making literature, we propose a recommendation algorithm centered around leadership. The proposed algorithm is designed to foster consensus among group members, leveraging the dynamics of leadership, and ultimately increasing the overall satisfaction of the group with the recommended choices. | |||||||||
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収録物識別子タイプ | NCID | |||||||||
収録物識別子 | AN00349328 | |||||||||
書誌情報 |
第86回全国大会講演論文集 巻 2024, 号 1, p. 397-398, 発行日 2024-03-01 |
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言語 | ja | |||||||||
出版者 | 情報処理学会 |