京都大学 / 新制・課程博士 / 博士(情報学) / 甲第25419号 / 情博第857号 / 新制||情||143(附属図書館) / 京都大学大学院情報学研究科知能情報学専攻 / (主査)教授 鹿島 久嗣, 教授 山本 章博, 教授 下平 英寿 / 学位規則第4条第1項該当 / Doctor of Informatics / Kyoto University / DFAM
| Identifer | oai:union.ndltd.org:kyoto-u.ac.jp/oai:repository.kulib.kyoto-u.ac.jp:2433/288853 |
| Date | 25 March 2024 |
| Creators | Sato, Ryoma |
| Contributors | 佐藤, 竜馬, サトウ, リョウマ |
| Publisher | Kyoto University, 京都大学 |
| Source Sets | Kyoto University |
| Language | English |
| Detected Language | English |
| Type | doctoral thesis, Thesis or Dissertation |
| Rights | 許諾条件により本文は2024-12-31に公開, (Chapter 2) Ryoma Sato. Private Recommender Systems: How Can Users Build Their Own Fair Recommender Systems without Log Data? In Proceedings of the 2022 SIAM International Conference on Data Mining, SDM, 2022. https://doi.org/10.1137/1.9781611977172.62 (Chapter 3) Ryoma Sato. Towards Principled User-side Recommender Systems. In Proceedings of the 31st ACM International Conference on Information & Knowledge Management, CIKM, 2022. https://doi.org/10.1145/3511808.3557476 (Chapter 4) Ryoma Sato. Retrieving Black-box Optimal Images from External Databases. In Proceedings of the 15th ACM International Conference on Web Search and Data Mining, WSDM, 2022. https://doi.org/10.1145/3488560.3498462 (Chapter 5) Ryoma Sato. CLEAR: A Fully User-side Image Search System. In Proceedings of the 31st ACM International Conference on Information & Knowledge Management, CIKM, 2022. https://doi.org/10.1145/3511808.3557172 (Chapter 6) Ryoma Sato. Active Learning from the Web. In Proceedings of the ACM Web Conference 2023, WWW, 2023. https://doi.org/10.1145/3543507.3583346 (Chapter 7) Ryoma Sato. Making Translators Privacy-aware on the User’s Side. In arXiv preprint https://arxiv.org/abs/2312.04068, 2023. |
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