Item preference parameters from grouped ranking observations

Hideitsu Hino; Yu Fujimoto; Noboru Murata

doi:10.1007/978-3-642-01307-2_91

Item preference parameters from grouped ranking observations

Hideitsu Hino^*, Yu Fujimoto, Noboru Murata

^*この研究の対応する著者

研究成果

2 被引用数 (Scopus)

抄録

Given a set of rating data for a set of items, determining the values of items is a matter of importance. Various probability models have been proposed to solve this task. The Plackett-Luce model is one of such models, which parametrizes the value of each item by a real valued preference parameter. In this paper, the Plackett-Luce model is generalized to cope with the grouped ranking observations such as movies or restaurants ratings. Since the maximization of the likelihood of the proposed model is computationally intractable, the lower bound of the likelihood which is easy to evaluate is derived, and the em algorithm is adopted to the maximization of the lower bound.

本文言語	English
ホスト出版物のタイトル	13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2009
ページ	875-882
ページ数	8
DOI	https://doi.org/10.1007/978-3-642-01307-2_91
出版ステータス	Published - 2009
イベント	13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2009 - Bangkok, Thailand 継続期間: 2009 4月 27 → 2009 4月 30

出版物シリーズ

名前	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
巻	5476 LNAI
ISSN（印刷版）	0302-9743
ISSN（電子版）	1611-3349

Conference

Conference	13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2009
国/地域	Thailand
City	Bangkok
Period	09/4/27 → 09/4/30

ASJC Scopus subject areas

理論的コンピュータサイエンス
コンピュータサイエンス（全般）

文献へのアクセス

10.1007/978-3-642-01307-2_91

他のファイルとリンク

引用スタイル

Hino, H., Fujimoto, Y., & Murata, N. (2009). Item preference parameters from grouped ranking observations. In 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2009 (pp. 875-882). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5476 LNAI). https://doi.org/10.1007/978-3-642-01307-2_91

Item preference parameters from grouped ranking observations. / Hino, Hideitsu; Fujimoto, Yu ; Murata, Noboru.

13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2009. 2009. p. 875-882 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5476 LNAI).

研究成果

Hino, H, Fujimoto, Y & Murata, N 2009, Item preference parameters from grouped ranking observations. in 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2009. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5476 LNAI, pp. 875-882, 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2009, Bangkok, Thailand, 09/4/27. https://doi.org/10.1007/978-3-642-01307-2_91

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Item preference parameters from grouped ranking observations

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