2. 本日のアジェンダ 1. 自己紹介 2. リクルートの紹介 3. リクルートにおけるデータ活用の取り組み 4. メタデータ管理Webの紹介 5. まとめ 2(C) Recruit Technologies Co.,Ltd. All rights reserved. 3. 本日のアジェンダ 1. 自己紹介 2. リクルートの紹介 3. リクルートにおけるデータ活用の取り組み 4. メタデータ管理Webの紹介 5. まとめ 3(C) Recruit Technologies Co.,Ltd. All rights reserved. 4. 自己紹介 4(C) Recruit Technologies Co.,Ltd. All rights reserved. 池田 英哲(いけだ ひであき) 株式会社 リクルートテクノロジーズ IDポイント部 兼 ビッグデータ部 IDポイント ビッグデータシ
ProblemA responsibility for the Data team at Airbnb is to scale the ability to make decisions using data. We democratize data access to empower all employees to make data-informed decisions, give everybody the ability to use experiments to correctly measure the impact of their decisions, and turn insights on user preferences into data products that improve the experience of using Airbnb. Recently,
One of my favorite things about being a data scientist at Airbnb is collaborating with a diverse team to solve important real-world problems. We are diverse not only in terms of gender, but also in educational backgrounds and work experiences. Our team includes graduates from Mathematics and Statistics programs, PhDs in fields from Education to Computational Genomics, veterans of the tech and fina
Faculty Talel Abdessalem, Professor Mehwish Alam, Associate Professor Albert Bifet, Professor Thomas Bonald, Professor, leader of the team Jean-Louis Dessalles, Emeritus Nils Holzenberger, Associate Professor Louis Jachiet, Associate Professor Marc Jeanmougin, Research Engineer Mauro Sozio, Professor Fabian Suchanek, Professor Post-docs Sven Dziadek Peter Fratrik PhD candidates Amy Affoudhi. Advis
Professional Life: Xin Luna Dong lunadong@fb.com 9845 Willows Rd. Redmond, WA 98052 Tel: (650) 788-0228 Xin Luna Dong I am a Principal Scientist at Meta Reality Labs, leading the ML efforts in building an intelligent personal assistant. We innovate and productionize techniques on contextual AI, multi-modal conversations, search, question answering, recommendation and personalization, knowledge col
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