A Consuming Behavior Prediction Framework for Smartphone Users

• Main Authors: Ding, Guan-zhong, 丁冠中
• Other Authors: King, Chung-Ta
• Format: Others
• Language: en_US
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/79996894653924605223

碩士 === 國立清華大學 === 資訊工程學系 === 101 === Consuming activities is one of the most interesting behaviors for researchers, which is major profitable source to online web service. As smartphone have become prevalent and have the ability to sense user context, mobile offers a great opportunity to understand user consuming intention. In this thesis, we present a next consuming behavior prediction framework for smartphone users. We predict user next possible purchase item by collecting useful context from smartphone and extract semantic context for further study. As one of the key enabling techniques, a probabilistic prediction model has proposed to better describe user consuming behavior. To demonstrate the feasibility of proposed framework, we evaluate the overall framework by constructing a context collection daemon in Android and asking 14 participants conduct a 3 weeks experiment by using Easycard in every transaction during daily life. The result indicates that timing and location are the most important context for next consuming activity prediction and our framework reach 76% accuracy in overall evaluation. 1