no code implementations • 21 May 2021 • Jianghong Zhou, Sayyed M. Zahiri, Simon Hughes, Khalifeh Al Jadda, Surya Kallumadi, Eugene Agichtein
Our experiments demonstrate the effectiveness of the DRLC model in learning to reduce bias in click logs, leading to improved modeling performance and showing the potential for using DRLC for improving Web search quality.
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
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.
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.
no code implementations • 4 Apr 2016 • Walid Shalaby, Khalifeh Al Jadda, Mohammed Korayem, Trey Grainger
The data set contains entities extracted from millions of job seekers/recruiters search queries, job postings, and resume documents.