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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DOI[10.14989/doctor.k25430]to the data of the same series
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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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- Material Type
- 博士論文
- Author/Editor
- ポン, シャオウェン
- Author Heading
- 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
- Subject Heading
- 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
- DOI
- 10.14989/doctor.k25430
- Persistent ID (NDL)
- info:ndljp/pid/13731224
- Collection
- 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/pdftext/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
- 可
- Periodical Title (URI)
- 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
- DOI
- 10.14989/doctor.k25430
- Format (IMT)
- application/pdf
- Source
- djohk00868.pdf (fulltext)
- 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