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| 研究生： |
許志毓 Hsu, Chih Yu |
|---|---|
| 論文名稱： |
智慧型手機的使用者行為模式分析 Behavior Analysis Based on Smart-phone User Logs |
| 指導教授： |
廖文宏
Liao, Wen Hung |
| 學位類別： |
碩士
Master |
| 系所名稱： |
理學院 - 資訊科學系 |
| 論文出版年： | 2013 |
| 畢業學年度： | 102 |
| 語文別： | 中文 |
| 論文頁數： | 72 |
| 中文關鍵詞： | 行為模式 、使用習慣 、特徵相似度 、序列比對 |
| 外文關鍵詞： | behavior pattern, app usage, feature similarity, sequence matching |
| 相關次數： | 點閱：310 下載：17 |
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通訊技術的演化與智慧型手機的普及，改變了人際溝通的方式與手機的應用情境，在此變動快速的行動運算時代，欲研究探討使用者的行為模式，必須建立一個包含硬體、軟體與使用者社群的實驗平台，以量化的數據補強質性的觀察，準此，本論文將以現有之平台為基礎，強化其功能與易用性，方便其他研究者觀察資料的概況，並擷取符合某些條件之資料，此外，我們採用3-gram之應用程式序列，作為行為模式(behavior pattern)之特徵定義，配合不同的應用程式被使用之頻率，在相似度比較上進行不同比重的加權，根據實驗結果，可大致對使用者進行初步的分類，亦可利用此指標，針對已分類過的使用者更進一步探討之間的歧異程度。
The rapid evolution of information technology and prevalence of smart-phones have changed the way people communicate. To effectively observe and investigate user behavior in this new era of mobile computing, an experimental platform that consists of hardware devices, software applications and user groups is essential. In this thesis, we enhance and extend the functions of a user log collection and analysis system to facilitate quick overview of the recorded data and allow flexible query/extraction of desired data segments for further processing. In addition, we employ 3-gram app log sequence as the main feature to characterize user behavior. A similarity measure that takes into account the relative app usage frequency has been defined to compare and classify users and their usage patterns. Experimental results indicate that this measure can effectively distinguish users of different traits given enough time period of observation.
1. 引言 6
2. 相關研究 11
3. 資料蒐集平台介紹 13
3.1 User 15
3.2 Log Collector Service 15
3.2.1. Service dataflow 16
3.2.2. Log Table in Remote Database 17
3.2.3. Log Collector Service Limited 18
3.3 Log Monitor Platform 19
3.3.1. Log Charting Service 19
3.3.2. Log Query and List Website 20
3.3.3. Log Real-time Monitor 22
4. 研究方法 23
4.1. 取標準差變異數來代表資料的特徵 27
4.2. 定義使用者特殊的行為模式作為特徵 29
5. 實驗結果與討論 42
5.1 Log Charting Service 42
5.2 Log Query Service 45
5.3 Log Real-time Monitor 47
5.4 特徵分析 52
6. 結論 69
7. 參考文獻 71
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