• Corpus ID: 201689244

Predictive Analytics of E-Commerce Search Behavior for Conversion

@inproceedings{Niu2017PredictiveAO,
  title={Predictive Analytics of E-Commerce Search Behavior for Conversion},
  author={Xi Niu},
  year={2017}
}
This study explores online customer search behavior on a large e-commerce website—Walmart.com. In order to more accurately predict customer purchase conversion based on their search behavior, we adopt a modern machine-learning technique, random forest, as well as logistic regression to develop two computational models. We also integrate information retrieval literature to propose metrics to quantify online consumers’ search behavior. Results show that the random forest model performs better… 

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