2023 Fiscal Year Final Research Report
A Proposal for Web Personalization Technology that Leads to Social Problem Solving by Considering Time, Place, and Condition
| Project/Area Number |
21K12143
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Review Section |
Basic Section 62020:Web informatics and service informatics-related
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| Research Institution | Iwate Prefectural University |
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Principal Investigator |
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| Project Period (FY) |
2021-04-01 – 2024-03-31
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| Keywords | Webパーソナライズ / センサデータ / モバイル端末 / 状態推定 |
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| Outline of Final Research Achievements |
This research aims to realize web personalization that considers the user's state, targeting mobile device users. First, we propose and verify the effectiveness of a method for estimating user state intervals by applying change point detection to acceleration data obtained from web browsers. Next, we developed a method for estimating the state from the motion state and usage state in each state interval.
The proposed method consists of a state definition that labels the state of the target website in the learning phase, and a state classification by machine learning using sensor data as input in the estimation phase. As a result, it was clarified that state classification with high immediacy is possible, and it can be applied to web personalization.
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| Free Research Field |
社会システム工学
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| Academic Significance and Societal Importance of the Research Achievements |
最近のWebパーソナライズをめぐる動向として，サードパーティCookieの廃止・規制がある．従来は，この技術を用いることで，異なるWebサイト間で利用者の情報や行動を追跡可能とし，特に，ターゲティング広告の分野でユーザの関心に基づいた広告配信を実現していた．しかしながら，プライバシーを侵害しうることに対する懸念が広がり，Cookieを廃止・規制する動きが加速している．今後は，プライバシーを保護しつつサードパーティCookieに頼らない新たなWebパーソナライズを実現することが求められている．本研究の成果は，新たなWebパーソナライズを実現するための独自性高い技術として学術的・社会的意義がある．
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