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ORCIDKhalifeh Al Jadda
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2020 – today
- 2023
[c11]Xiquan Cui
, Vachik S. Dave, Yi Su, Khalifeh Al Jadda, Srijan Kumar, Julian J. McAuley, Tao Ye, Stephen D. Guo, Chip Huyen:
3rd Workshop on Online and Adaptive Recommender Systems (OARS). KDD 2023: 5855-5856- 2022
- [c10]Xiquan Cui, Vachik S. Dave, Yi Su, Khalifeh Al Jadda, Srijan Kumar, Julian J. McAuley, Tao Ye, Kamelia Aryafar, Mohammed Korayem:
2nd Workshop on Online and Adaptive Recommender Systems (OARS). KDD 2022: 4862-4863 - 2021
- [c9]Xiquan Cui, Estelle Afshar, Khalifeh Al Jadda, Srijan Kumar, Julian J. McAuley, Tao Ye, Kamelia Aryafar, Vachik S. Dave, Mohammad Korayem:
Workshop on Online and Adaptative Recommender Systems (OARS). KDD 2021: 4116-4117 - [c8]Ali Ahmadvand, Sayyed M. Zahiri, Simon Hughes, Khalifeh Al Jadda, Surya Kallumadi, Eugene Agichtein:
APRF-Net: Attentive Pseudo-Relevance Feedback Network for Query Categorization. SIGIR 2021: 1603-1607 - [c7]Jianghong Zhou, Sayyed M. Zahiri, Simon Hughes, Khalifeh Al Jadda, Surya Kallumadi, Eugene Agichtein:
De-Biased Modeling of Search Click Behavior with Reinforcement Learning. SIGIR 2021: 1637-1641 - [i5]Rebecca West, Khalifeh Al Jadda, Unaiza Ahsan, Huiming Qu, Xiquan Cui:
Interpretable Methods for Identifying Product Variants. CoRR abs/2104.05504 (2021) - [i4]Mingming Guo, Nian Yan, Xiquan Cui, San He Wu, Unaiza Ahsan, Rebecca West, Khalifeh Al Jadda:
Deep Learning-based Online Alternative Product Recommendations at Scale. CoRR abs/2104.07572 (2021) - [i3]Ali Ahmadvand, Sayyed M. Zahiri, Simon Hughes, Khalifa Al Jadda, Surya Kallumadi, Eugene Agichtein:
APRF-Net: Attentive Pseudo-Relevance Feedback Network for Query Categorization. CoRR abs/2104.11384 (2021) - [i2]Mingming Guo, Nian Yan, Xiquan Cui, Simon Hughes, Khalifeh Al Jadda:
Online Product Feature Recommendations with Interpretable Machine Learning. CoRR abs/2105.00867 (2021) - [i1]Jianghong Zhou, Sayyed M. Zahiri, Simon Hughes, Khalifeh Al Jadda, Surya Kallumadi, Eugene Agichtein:
De-Biased Modelling of Search Click Behavior with Reinforcement Learning. CoRR abs/2105.10072 (2021) - 2020
- [c6]Unaiza Ahsan, Xiquan Cui, Rebecca West, Mingming Guo, San He Wu, Khalifeh Al Jadda:
Complementary Recommendations Using Deep Multi-modal Embeddings For Online Retail. IEEE BigData 2020: 1774-1779 - [c5]San He We, Unaiza Ahsan, Mingming Guo, Simon Hughes, Xiquan Cui, Khalifeh Al Jadda:
Recommendations of Compatible Accessories in e-Commerce. IEEE BigData 2020: 5296-5304 - [c4]Pigi Kouki, Ilias Fountalis, Nikolaos Vasiloglou, Xiquan Cui, Edo Liberty, Khalifeh Al Jadda:
From the lab to production: A case study of session-based recommendations in the home-improvement domain. RecSys 2020: 140-149 - [c3]Rebecca West, Khalifeh Al Jadda, Unaiza Ahsan, Huiming Qu, Xiquan Cui:
Interpretable Methods for Identifying Product Variants. WWW (Companion Volume) 2020: 448-453
2010 – 2019
- 2019
- [c2]Pigi Kouki, Ilias Fountalis, Nikolaos Vasiloglou, Nian Yan, Unaiza Ahsan, Khalifeh Al Jadda, Huiming Qu:
Product collection recommendation in online retail. RecSys 2019: 486-490 - [c1]Khalifeh Al Jadda:
Recommendation in home improvement industry, challenges and opportunities. RecSys 2019: 528 - 2014
- [b1]Khalifeh Al Jadda:
Scaling up machine learning algorithms to handle big data. University of Georgia, Athens, GA, USA, 2014
Coauthor Index
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