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博士論文

スペクトル観点から効果的かつ効率的な個人推薦に向けて

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スペクトル観点から効果的かつ効率的な個人推薦に向けて

Persistent ID (NDL)
info:ndljp/pid/13731224
Material type
博士論文
Author
ポン, シャオウェン
Publisher
Kyoto University
Date granted
2024-03-25
Material Format
Digital
Capacity, size, etc.
-
Degree grantor and degree
京都大学,Kyoto University,博士(情報学)
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Notes on use

Note (General):

出版タイプ: VoR機関リポジトリ記載の権利情報: Peng S, Sugiyama K, Mine T. Less is more: reweighting important spectral graph features for recommendation[C]//Proceedings o...

Table of Contents

Provided by:国立国会図書館デジタルコレクションLink to Help Page
  • 2026-03-07 再収集

  • 2026-03-07 再収集

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  • Kyoto University Research Information Repository

    Digital
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Bibliographic Record

You can check the details of this material, its authority (keywords that refer to materials on the same subject, author's name, etc.), etc.

Digital

Material Type
博士論文
Author/Editor
ポン, シャオウェン
Publication, Distribution, etc.
Publication Date
2024-03-25
Publication Date (W3CDTF)
2024-03-25
Alternative Title
Towards Effective and Efficient Personalized Recommendation from a Spectral Perspective
Contributor
伊藤, 孝行
田島, 敬史
鹿島, 久嗣
杉山, 一成
Degree Grantor
京都大学
Kyoto University
Date Granted
2024-03-25
Date Granted (W3CDTF)
2024-03-25
Dissertation Number
甲第25430号
Degree Type
博士(情報学)
Text Language Code
eng
NDC
Target Audience
一般
Note (General)
出版タイプ: VoR
機関リポジトリ記載の権利情報: Peng S, Sugiyama K, Mine T. Less is more: reweighting important spectral graph features for recommendation[C]//Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. 2022: 1273-1282. https://dl.acm.org/doi/10.1145/3477495.3532014 Peng S, Sugiyama K, Mine T. SVD-GCN: A simplified graph convolution paradigm for recommendation[C]//Proceedings of the 31st ACM International Conference on Information & Knowledge Management. 2022: 1625-1634. https://dl.acm.org/doi/10.1145/3511808.3557462 Peng S, Sugiyama K, Mine T. Less is More: Removing Redundancy of Graph Convolutional Networks for Recommendation[J]. ACM Transactions on Information Systems, 2024, 42(3): 1-26. https://dl.acm.org/doi/full/10.1145/3632751
Persistent ID (NDL)
info:ndljp/pid/13731224
Collection (Materials For Handicapped People:1)
Collection (particular)
国立国会図書館デジタルコレクション > デジタル化資料 > 博士論文
Acquisition Basis
博士論文(自動収集)
Format (IMT)
application/pdf
text/html
Access Restrictions
国立国会図書館内限定公開
Service for the Digitized Contents Transmission Service
図書館・個人送信対象外
Availability of remote photoduplication service
Data Provider (Database)
国立国会図書館 : 国立国会図書館デジタルコレクション

Digital

Format (IMT)
application/pdf
Access Restrictions
インターネット公開
Rights (production)
Peng S, Sugiyama K, Mine T. Less is more: reweighting important spectral graph features for recommendation[C]//Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. 2022: 1273-1282. https://dl.acm.org/doi/10.1145/3477495.3532014 Peng S, Sugiyama K, Mine T. SVD-GCN: A simplified graph convolution paradigm for recommendation[C]//Proceedings of the 31st ACM International Conference on Information & Knowledge Management. 2022: 1625-1634. https://dl.acm.org/doi/10.1145/3511808.3557462 Peng S, Sugiyama K, Mine T. Less is More: Removing Redundancy of Graph Convolutional Networks for Recommendation[J]. ACM Transactions on Information Systems, 2024, 42(3): 1-26. https://dl.acm.org/doi/full/10.1145/3632751
Data Provider (Database)
国立情報学研究所 : 学術機関リポジトリデータベース(IRDB)(機関リポジトリ)
Original Data Provider (Database)
京都大学 : 京都大学学術情報リポジトリ