Xiquan Cui

According to our database, Xiquan Cui authored at least 22 papers between 2020 and 2024.

Collaborative distances:

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

2024

Knowledge Graph-based Session Recommendation with Adaptive Propagation.

Yu Wang, Amin Javari, Janani Balaji, Walid Shalaby, Tyler Derr, Xiquan Cui

CoRR, 2024

Knowledge Graph-based Session Recommendation with Session-Adaptive Propagation.

Yu Wang, Amin Javari, Janani Balaji, Walid Shalaby, Tyler Derr, Xiquan Cui

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

The 3rd International Workshop on Interactive and Scalable Information Retrieval Methods for eCommerce (ISIR-eCom 2024).

Vachik S. Dave, Linsey Pang, Xiquan Cui, Chen Luo, Hamed Zamani, Lingfei Wu, George Karypis

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

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, Stephen D. Guo, Chip Huyen

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Foreword for Workshop on Decision Making for Information Retrieval and Recommender Systems.

Da Xu, Tobias Schnabel, Xiquan Cui, Sarah Dean, Aniket Anand Deshmukh, Bo Yang, Shipeng Yu

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

The 2nd Workshop on Interactive and Scalable Information Retrieval Methods for eCommerce (ISIR-eCom).

Vachik S. Dave, Linsey Pang, Xiquan Cui, Lingfei Wu, Hamed Zamani, George Karypis

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Hierarchical Multi-Task Learning Framework for Session-based Recommendations.

Sejoon Oh, Walid Shalaby, Amir Afsharinejad, Xiquan Cui

Proceedings of the 6th Workshop on Online Recommender Systems and User Modeling co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023), 2023

Local Boosting for Weakly-Supervised Learning.

Rongzhi Zhang, Yue Yu, Jiaming Shen, Xiquan Cui, Chao Zhang

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

M2TRec: Metadata-aware Multi-task Transformer for Large-scale and Cold-start free Session-based Recommendations.

Walid Shalaby, Sejoon Oh, Amir Afsharinejad, Srijan Kumar, Xiquan Cui

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

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

Rongzhi Zhang, Rebecca West, Xiquan Cui, Chao Zhang

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

Multi Armed Bandit vs. A/B Tests in E-commence - Confidence Interval and Hypothesis Test Power Perspectives.

Ding Xiang, Rebecca West, Jiaqi Wang, Xiquan Cui, Jinzhou Huang

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

Adaptively Optimize Content Recommendation Using Multi Armed Bandit Algorithms in E-commerce.

Ding Xiang, Becky West, Jiaqi Wang, Xiquan Cui, Jinzhou Huang

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

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

Visually Compatible Home Decor Recommendations Using Object Detection and Product Matching.

Unaiza Ahsan, Yuanbo Wang, Alexander Guo, Kevin D. Tynes, Tianlong Xu, Estelle Afshar, Xiquan Cui

Proceedings of the International Conference on Computational Science and Computational Intelligence, 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