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 problem in the fashion industry and present three
major contributions to the burgeoning field of AI in fashion: first, we collected, normalized …
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 problem in the fashion industry and present three
major contributions to the burgeoning field of AI in fashion: first, we collected, normalized …
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