Online Product Feature Recommendations with Interpretable Machine Learning

no code implementations • 28 Apr 2021 • Mingming Guo, Nian Yan, Xiquan Cui, Simon Hughes, Khalifeh Al Jadda

For a customer, selecting the product that has the best trade-off between price and functionality is a time-consuming step in an online shopping experience, and customers can be overwhelmed by the available choices.

BIG-bench Machine Learning Interpretable Machine Learning +2

Deep Learning-based Online Alternative Product Recommendations at Scale

no code implementations • WS 2020 • Mingming Guo, Nian Yan, Xiquan Cui, San He Wu, Unaiza Ahsan, Rebecca West, Khalifeh Al Jadda

In this paper, we use both textual product information (e. g. product titles and descriptions) and customer behavior data to recommend alternative products.

Recommendation Systems