Adaptive Multi-view Rule Discovery for Weakly-Supervised Compatible Products Prediction

no code implementations • 28 Jun 2022 • Rongzhi Zhang, Rebecca West, Xiquan Cui, Chao Zhang

We develop AMRule, a multi-view rule discovery framework that can (1) adaptively and iteratively discover novel rulers that can complement the current weakly-supervised model to improve compatibility prediction; (2) discover interpretable rules from both structured attribute tables and unstructured product descriptions.

Attribute Language Modelling +1

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

Interpretable Methods for Identifying Product Variants

no code implementations • 12 Apr 2021 • Rebecca West, Khalifeh Al Jadda, Unaiza Ahsan, Huiming Qu, Xiquan Cui

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 and cultivating an authoritative brand image.

Constrained Clustering