Khalifeh Al Jadda

According to our database, Khalifeh Al Jadda authored at least 15 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

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, Stephen D. Guo, Chip Huyen

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

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, Kamelia Aryafar, Mohammed Korayem

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

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

Online Product Feature Recommendations with Interpretable Machine Learning.

Mingming Guo, Nian Yan, Xiquan Cui, Simon Hughes, Khalifeh Al Jadda

CoRR, 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

De-Biased Modeling of Search Click Behavior with Reinforcement Learning.

Jianghong Zhou, Sayyed M. Zahiri, Simon Hughes, Khalifeh Al Jadda, Surya Kallumadi, Eugene Agichtein

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 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

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Workshop on Online and Adaptative Recommender Systems (OARS).

Xiquan Cui, Estelle Afshar, Khalifeh Al Jadda, Srijan Kumar, Julian J. McAuley, Tao Ye, Kamelia Aryafar, Vachik S. Dave, Mohammad Korayem

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

Interpretable Methods for Identifying Product Variants.

Rebecca West, Khalifeh Al Jadda, Unaiza Ahsan, Huiming Qu, Xiquan Cui

Proceedings of the Companion of The 2020 Web Conference 2020, 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

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Recommendations of Compatible Accessories in e-Commerce.

San He We, Unaiza Ahsan, Mingming Guo, Simon Hughes, Xiquan Cui, Khalifeh Al Jadda

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Complementary Recommendations Using Deep Multi-modal Embeddings For Online Retail.

Unaiza Ahsan, Xiquan Cui, Rebecca West, Mingming Guo, San He Wu, Khalifeh Al Jadda

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Product collection recommendation in online retail.

Pigi Kouki, Ilias Fountalis, Nikolaos Vasiloglou, Nian Yan, Unaiza Ahsan, Khalifeh Al Jadda, Huiming Qu

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Recommendation in home improvement industry, challenges and opportunities.

Khalifeh Al Jadda

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

2014

Scaling up machine learning algorithms to handle big data.

Khalifeh Al Jadda

PhD thesis, 2014