22 citations · 26 across the 4 of their papers we have counts for
5 papers
M2TRec: Metadata-aware Multi-task Transformer for Large-scale and Cold-start free Session-based Recommendations
Walid Shalaby, Sejoon Oh, Amir Afsharinejad +2
Session-based recommender systems (SBRSs) have shown superior performance over conventional methods. However, they show limited scalability on large-scale industrial datasets since…
Adaptively Optimize Content Recommendation Using Multi Armed Bandit Algorithms in E-commerce
Ding Xiang, Becky West, Jiaqi Wang +2
E-commerce sites strive to provide users the most timely relevant information in order to reduce shopping frictions and increase customer satisfaction. Multi armed bandit models (M…
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…