Online purchase decisions for tourism e-commerce

Electronic Commerce Research and Applications(2019)

引用 36|浏览45
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摘要
•This study is performed by means of the clickstream data from an e-tourism site.•An emprical analysis is conducted to reveal purchase patterns for tourism products.•A novel learning model called co-EM-LR is proposed for online purchase prediction.•Extensive experiments are conducted to validate the superiority of co-EM-LR model.
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关键词
Purchase prediction,Tourism E-commerce,Clickstream data,Classification,Logistic regression,Semi-supervised learning,Multi-view learning
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