Prediction is very hard, especially about conversion. Predicting user purchases from clickstream data in fashion e-commerce
Knowing if a user is a buyer vs window shopper solely based on clickstream data is of crucial importance for ecommerce platforms seeking to implement real-time accurate NBA (next best action) policies. However, due to the low frequency of conversion events and the noisiness of browsing data, classifying user sessions is very challenging. In this paper, we address the clickstream classification pro
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(PDF) Tracking Users' Clicks and Submits: Tradeoffs between User Experience and Data Loss
Measuring the User Experience on a Large Scale: User-Centered Metrics for Web Applications
UW Interactive Data Lab | Papers
