7 citations · 8 across the 3 of their papers we have counts for
4 papers
De-Biased Modelling of Search Click Behavior with Reinforcement Learning
Jianghong Zhou, Sayyed M. Zahiri, Simon Hughes +3
Users' clicks on Web search results are one of the key signals for evaluating and improving web search quality and have been widely used as part of current state-of-the-art Learnin…
Online Product Feature Recommendations with Interpretable Machine Learning
Mingming Guo, Nian Yan, Xiquan Cui +2
Product feature recommendations are critical for online customers to purchase the right products based on the right features. For a customer, selecting the product that has the bes…
Deep Learning-based Online Alternative Product Recommendations at Scale
Mingming Guo, Nian Yan, Xiquan Cui +4
Alternative recommender systems are critical for ecommerce companies. They guide customers to explore a massive product catalog and assist customers to find the right products amon…
Interpretable Methods for Identifying Product Variants
Rebecca West, Khalifeh Al Jadda, Unaiza Ahsan +2
For e-commerce companies with large product selections, the organization and grouping of products in meaningful ways is important for creating great customer shopping experiences a…