□Author
Masaya Mori, Global Head of Rakuten Institute of Technology, Executive Officer, Rakuten Inc.
森正弥 楽天株式会社 執行役員 兼 楽天技術研究所代表
□Description
そもそもなぜ人工知能(AI)をビジネスで活用する必要があるのかの視点に基づいて、AI活用戦略について述べた講演の資料です。
□Author
Masaya Mori, Global Head of Rakuten Institute of Technology, Executive Officer, Rakuten Inc.
森正弥 楽天株式会社 執行役員 兼 楽天技術研究所代表
□Description
そもそもなぜ人工知能(AI)をビジネスで活用する必要があるのかの視点に基づいて、AI活用戦略について述べた講演の資料です。
Talk given by Akira Shibata at Developer's Summit 2016, one of the largest conference for software developer's in Japan. Akira, Data Scientist at DataRobot, Inc, talked about the evolution of machine learning techniques, most notably the recent developments in DataRobot and TensorFlow.
2019年07月09日 リカレントエデュケーション講座@京橋。
楽天ではどのようにビッグデータを活用しているのか、データサイエンス&AIの最新応用事例の紹介。
およびデータサイエンス系のプロジェクトの進め方と,必要な役割についての紹介。
登壇者:平手勇宇(Rakuten Institute of Technology Tokyo)
Talk given by Akira Shibata at Developer's Summit 2016, one of the largest conference for software developer's in Japan. Akira, Data Scientist at DataRobot, Inc, talked about the evolution of machine learning techniques, most notably the recent developments in DataRobot and TensorFlow.
2019年07月09日 リカレントエデュケーション講座@京橋。
楽天ではどのようにビッグデータを活用しているのか、データサイエンス&AIの最新応用事例の紹介。
およびデータサイエンス系のプロジェクトの進め方と,必要な役割についての紹介。
登壇者:平手勇宇(Rakuten Institute of Technology Tokyo)
This presentation of which title is "Successful point for the IT Project Management" is for PMI Japan Monthly Seminar in March by Mr.Shinji, Notohara,Director,
IT innovation,inc,Japan.
This document discusses how to make software more green and environmentally friendly. It defines green software as software that is carbon efficient, energy efficient, hardware efficient, and carbon aware. It provides recommendations for various roles within an organization on driving green initiatives, including focusing on efficiency for CxOs, architects, infrastructure engineers, and developers. Examples include optimizing resource usage, using public clouds effectively, prioritizing equipment standardization, and developing applications that can run more efficiently.
Simple and Effective Knowledge-Driven Query Expansion for QA-Based Product At...Rakuten Group, Inc.
The document proposes a knowledge-driven query expansion approach for question answering (QA)-based product attribute extraction. It trains QA models using attribute-value pairs from training data as knowledge, while mimicking imperfect knowledge at test time through techniques like knowledge dropout and token mixing. This helps induce better query representations, especially for rare and ambiguous attributes. Experiments on a cleaned product attribute dataset show the proposed approach with all techniques outperforms baseline methods in both macro and micro F1 scores.
This document summarizes Andrew Hajinikitas' work developing Rakuten's private cloud infrastructure. It describes the key components of Rakuten's infrastructure including metal instances, microservers, and GPU servers. It provides details on Rakuten's software stack and their goals to expand managed services. Currently, Rakuten operates 9 data centers in Japan and overseas providing around 30,000 servers to support their ecosystem. Their future plans include extending network self-service, making GPU resources available as a platform service, and improving efficiency through optimized hardware selection.
The document discusses the Travel & Leisure Platform Dept and its responsibilities related to data and platform management. It provides an overview of the technical stack including private/public clouds, databases, containers, and automation/monitoring tools. It then discusses recent projects involving business continuity, containerization, alert integration, and automation. Finally, it describes open roles for a DBA and DevOps position and their responsibilities related to database provisioning, backup/recovery, infrastructure as code, and providing platforms and tools for developers.
This presentation introduces the OWASP Top 10:2021.
It explains how to look at the data related to OWASP Top 10:2021, and provides detailed explanations of items with distinctive data. It also introduces the OWASP Project related to each item.
Gora API Group technology provides a microservices architecture and APIs for Rakuten's golf course reservation system, improving the user experience and increasing customer loyalty and annual golf rounds. The architecture migrates the monolithic reservation system to microservices using Kotlin, Spring Boot, and other technologies, exposing APIs for the frontend and new products while sustaining the legacy system through services, queues, continuous delivery, and operations monitoring.
17. 分散表現(Distributed Representation)を用いたレコメンダーアルゴリズム
Document : a sequence of words with context.
User : a sequence of item views with user’s intention.
Set of documents
Vectors for words
Vectors for documents
sim{word, word}
sim{doc, word}
sim{doc, doc}
Set of user behaviors
Vectors for items
Vectors for users
sim{item, item}
sim{user, item}
sim{user, user}
自然言語処理分野のアルゴリズム word2vecを
レコメンダーシステムに活用
17