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    政大機構典藏 > 資訊學院 > 資訊科學系 > 學位論文 >  Item 140.119/76222


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    題名: 藉由地緣情感關係連結之群眾打卡資訊建⽴立個⼈人⽣生命記憶
    Construct Personal Lifelog by Check-in Information from Location-based Emotion Connected Crowd
    作者: 王怡婷
    Wang, Yi Ting
    貢獻者: 郭正佩
    Kuo, Pei Jeng
    王怡婷
    Wang, Yi Ting
    關鍵詞: 個人生命記憶典藏
    打卡
    適地性服務
    群眾外包‭ ‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬
    personal archiving
    check in
    location-based service
    crowdsourcing
    日期: 2014
    上傳時間: 2015-07-01 14:53:30 (UTC+8)
    摘要: 生活於行動網絡與社群網站發展快速的今日，人們逐漸依賴利用隨手可得之行動裝置紀錄生活，打卡儼然成為生命紀錄的方式之一。本研究致力於提供使用者個人化之打卡系統，讓使用者在選用群眾所推薦的地理標籤名稱之餘，同時保有個人化情感傾向特色之地理標籤名稱。透過基於地緣情感關係連結之群眾推薦地理標籤名稱，我們提供更貼近使用者個人情感偏好之地理標籤，讓使用者在省下自行建立個人化地理標籤名稱上的繁瑣程序的同時，還能同時保有個人化特色，更能夠作為未來回憶時之線索。在實驗設計上，我們邀請共二十八位受試者使用本研究所開發之打卡系統，利用三週的時間真實模擬生活中的打卡情況。我們分析受試者進行打卡時所選用的地理標籤名稱來源作為評估之依據，透過實驗結果顯示基於地緣情感關係連結之群眾推薦地理標籤名稱模型，能夠推薦較適合的地理標籤名稱給使用者使用。因此本研究有效利用特定群眾之力量協助使用者建立個人化之地理資訊。
    In the present, people used to have one or more mobile devices. With the mobile devices thriving, the social network is also getting more popular. People rely on the mobile devices or social network to record their lives—“Check in” is becoming a kind of “lifelog”. Our research provides user a customized check in system, which can free users from the troublesome procedures, naming the geotag by their own, meanwhile; they can still have their own style. Furthermore, this customized name of geotag will be the hint to their memory in the future. When it comes to the experiment, we have 28 users experience our check in system, and we spent three weeks to simulate the situation of check in in the real life. We analyze the users’ name of geotag and use it as the result to estimate. According to the result of our experiment, the Location-Based Emotion Connected model can recommend a better name of geotag to the users. Consequently, our research the effective help people to construct personalizes geographic information.
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    描述: 碩士
    國立政治大學
    資訊科學學系
    100753030
    103
    資料來源: http://thesis.lib.nccu.edu.tw/record/#G0100753030
    資料類型: thesis
    顯示於類別:[資訊科學系] 學位論文

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