Selection of housing, one of the necessities of human life, has a great influence on life for a long time. However, since it requires a wide range of information gathering and consideration before decision, state-of-the-art recommendation algorithms such as collaborative filtering do not work well. In this presentation, after reviewing issues specific to the real estate field, I cited examples of "application of crowdsourcing to social media (Twitter timelines)" and "application of deep learning to property images" as an effort by our research group. Finally I discuss what kind of AI technology is applicable in the real estate field.
Selection of housing, one of the necessities of human life, has a great influence on life for a long time. However, since it requires a wide range of information gathering and consideration before decision, state-of-the-art recommendation algorithms such as collaborative filtering do not work well. In this presentation, after reviewing issues specific to the real estate field, I cited examples of "application of crowdsourcing to social media (Twitter timelines)" and "application of deep learning to property images" as an effort by our research group. Finally I discuss what kind of AI technology is applicable in the real estate field.
ROSCon 2019と併催されたIROS 2019参加報告です。ROSCon 2019参加報告会で報告する予定の内容となります。内容はIROSにおけるROSの位置づけとなります。よろしくおねがいします。
This presentation reports a part of IROS 2019 in terms of ROS. If you want to read this presentation in English, please refer to that as a comment.
□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。
Detecting attended visual targets in video の勉強会用資料Yasunori Ozaki
第三回 全日本コンピュータビジョン勉強会(後編)で発表した Detecting attended visual targets in video のまとめ資料です。映像中にいる人物が注意を払っている対象を推定するタスクを解いた話です。コンピュータビジョンや認知科学などに興味がある方はぜひご覧ください。
Sakura Cloud is a service developed and released in 2011. We use InfiniBand, witch is rare as an Internet service and it is used for connection between server and storage. In this presentation, we will briefly introduce the configuration of the system and explain the reasons and usage if InfiniBand. We are going to introduce operational comparisons and meris demerits with the services provided by Ethernet.
ROSCon 2019と併催されたIROS 2019参加報告です。ROSCon 2019参加報告会で報告する予定の内容となります。内容はIROSにおけるROSの位置づけとなります。よろしくおねがいします。
This presentation reports a part of IROS 2019 in terms of ROS. If you want to read this presentation in English, please refer to that as a comment.
□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。
Detecting attended visual targets in video の勉強会用資料Yasunori Ozaki
第三回 全日本コンピュータビジョン勉強会(後編)で発表した Detecting attended visual targets in video のまとめ資料です。映像中にいる人物が注意を払っている対象を推定するタスクを解いた話です。コンピュータビジョンや認知科学などに興味がある方はぜひご覧ください。
Sakura Cloud is a service developed and released in 2011. We use InfiniBand, witch is rare as an Internet service and it is used for connection between server and storage. In this presentation, we will briefly introduce the configuration of the system and explain the reasons and usage if InfiniBand. We are going to introduce operational comparisons and meris demerits with the services provided by Ethernet.
6月6日に実施された、ソーシャルCRMプラットフォームを活用した情報交換コミュニティ「みんなのドットコムマスター広場」のオープンについての記者発表会資料です。
なぜドットコムマスターで?NTTコムチェオが?ソーシャルCRMを使った取り組みを行うのか、分り易く説明されています。
また、このコミュニティは日本でほぼ初めてLirhium Community Platformを利用しており、その特長についても分り易く説明されていますので、ぜひご覧ください。
Mining User Experience through Crowdsourcing: A Property Search Behavior Corp...Yoji Kiyota
This document describes a study that aimed to establish a method for understanding user experiences in property searching through analyzing Twitter timelines. The researchers collected Twitter timelines of followers of a Japanese property search service account and used crowdsourcing microtasks to extract tweets related to property searching and analyze them based on a conventional property search process framework. Workers were asked to categorize timeline fragments as either related or unrelated to property searching. This allowed the researchers to build a corpus of property search behavior data derived from social media for analyzing user needs and experiences.