Scaling up machine learning algorithms to handle big data. - Khalifeh Al Jadda (2014)

Recommendation in home improvement industry, challenges and opportunities. - Khalifeh Al Jadda (RecSys, 2019)

Product collection recommendation in online retail. - Pigi Kouki; Ilias Fountalis; Nikolaos Vasiloglou; Nian Yan; Unaiza Ahsan; Khalifeh Al Jadda; Huiming Qu (RecSys, 2019)

Complementary Recommendations Using Deep Multi-modal Embeddings For Online Retail. - Unaiza Ahsan; Xiquan Cui; Rebecca West; Mingming Guo; San He Wu; Khalifeh Al Jadda (IEEE BigData, 2020)

Recommendations of Compatible Accessories in e-Commerce. - San He We; Unaiza Ahsan; Mingming Guo; Simon Hughes; Xiquan Cui; Khalifeh Al Jadda (IEEE BigData, 2020)

From the lab to production: A case study of session-based recommendations in the home-improvement domain. - Pigi Kouki; Ilias Fountalis; Nikolaos Vasiloglou; Xiquan Cui; Edo Liberty; Khalifeh Al Jadda (RecSys, 2020)

Interpretable Methods for Identifying Product Variants. - Rebecca West; Khalifeh Al Jadda; Unaiza Ahsan; Huiming Qu; Xiquan Cui (WWW (Companion Volume), 2020)

Workshop on Online and Adaptative Recommender Systems (OARS). - Xiquan Cui; Estelle Afshar; Khalifeh Al Jadda; Srijan Kumar; Julian J. McAuley; Tao Ye 001; Kamelia Aryafar; Vachik S. Dave; Mohammad Korayem (KDD, 2021)

APRF-Net: Attentive Pseudo-Relevance Feedback Network for Query Categorization. - Ali Ahmadvand; Sayyed M. Zahiri; Simon Hughes; Khalifeh Al Jadda; Surya Kallumadi; Eugene Agichtein (SIGIR, 2021)

De-Biased Modeling of Search Click Behavior with Reinforcement Learning. - Jianghong Zhou; Sayyed M. Zahiri; Simon Hughes; Khalifeh Al Jadda; Surya Kallumadi; Eugene Agichtein (SIGIR, 2021)

Deep Learning-based Online Alternative Product Recommendations at Scale. - Mingming Guo; Nian Yan; Xiquan Cui; San He Wu; Unaiza Ahsan; Rebecca West; Khalifeh Al Jadda (CoRR, 2021)

Online Product Feature Recommendations with Interpretable Machine Learning. - Mingming Guo; Nian Yan; Xiquan Cui; Simon Hughes; Khalifeh Al Jadda (CoRR, 2021)

De-Biased Modelling of Search Click Behavior with Reinforcement Learning. - Jianghong Zhou; Sayyed M. Zahiri; Simon Hughes; Khalifeh Al Jadda; Surya Kallumadi; Eugene Agichtein (CoRR, 2021)

2nd Workshop on Online and Adaptive Recommender Systems (OARS). - Xiquan Cui; Vachik S. Dave; Yi Su; Khalifeh Al Jadda; Srijan Kumar; Julian J. McAuley; Tao Ye 001; Kamelia Aryafar; Mohammed Korayem (KDD, 2022)

3rd Workshop on Online and Adaptive Recommender Systems (OARS). - Xiquan Cui; Vachik S. Dave; Yi Su; Khalifeh Al Jadda; Srijan Kumar; Julian J. McAuley; Tao Ye 001; Stephen D. Guo; Chip Huyen (KDD, 2023)

International Workshop on Online and Adaptive Recommender Systems (OARS 2024). - Xiquan Cui; Vachik S. Dave; Yi Su; Khalifeh Al Jadda; Srijan Kumar; Julian J. McAuley; Tao Ye 001; Stephen D. Guo; Chip Huyen (CIKM, 2024)