2015 | OriginalPaper | Buchkapitel
Prediction of Query Satisfaction Based on CQA-Oriented Browsing Behaviors
verfasst von : Junxia Guo, Hao Han, Cheng Gao, Takashi Nakayama, Keizo Oyama
Erschienen in: Information Science and Applications
Verlag: Springer Berlin Heidelberg
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Browsing satisfaction with community-based websites has been studied mainly based on webpage content. In this paper, we exploratively analyze the factors affecting the browsing behaviors of client users to predict the query satisfaction level in a Community-based Question Answering (CQA) website. The experiment’s results show that different categories of information are affected by different factors, and explain that considering the factors of browsing behaviors could improve the prediction accuracy of query satisfaction.