Detecting Mobile User Intention based on Context Logs

• Main Authors: Ming-Yi Cheng, 鄭銘毅
• Other Authors: 陳煥
• Format: Others
• Language: zh-TW
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/47847611434693513569

碩士 === 國立中興大學 === 資訊科學與工程學系 === 105 === Nowadays mobile devices have become a ubiquitous medium supporting various forms of functionality and are widely accepted for commons. With such an intimacy, a mobile device has been more than a mini computer for its owner but a personal behavior observer. As a role of behavior observer, mobile phones would be a new entry point to understand user''s intention. Detecting a user''s intention behind his/her activities is fundamental to many emerging commercial applications and intelligent services, such as recommendations making, targeted advertisements delivering, and personalized contents presenting. In this paper, we focus on capturing the state that a user is in his/her research phase. We refer to such a target as Information Research Intention (IRI). The intuition for capturing IRIs is that mobile phone usage activities containing IRIs might show sequential activity patterns, i.e., a type-in event is firstly observed, then a clicked event is followed, then a series of scrolling events is presented, and etc. By properly analyzing the mobile phone usage activities, detecting IRIs will be possible. Based on this viewpoint, in this thesis, we propose a framework that consists of two main components, Episode Extractor and User Intention Detection. The Episode extractor is designed to address the problem of extracting episodes from noisy, unstructured usage activity logs. And, the User Intention Detector is designed based on the idea of casting the detection problem as a binary classification problem. Experiments with real data collected from users is conducted to verify the effectiveness of the proposed framework for detecting IRI through context logs. From the experiment result, the accuracy of detection user intention is about 80%, which demonstrates the superiority of the proposed framework.