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Kannan Achan

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NEAT: A Label Noise-resistant Complementary Item Recommender System with Trustworthy Evaluation

Feb 11, 2022
Luyi Ma, Jianpeng Xu, Jason H. D. Cho, Evren Korpeoglu, Sushant Kumar, Kannan Achan

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Generating Rich Product Descriptions for Conversational E-commerce Systems

Nov 30, 2021
Shashank Kedia, Aditya Mantha, Sneha Gupta, Stephen Guo, Kannan Achan

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Pre-training Recommender Systems via Reinforced Attentive Multi-relational Graph Neural Network

Nov 28, 2021
Xiaohan Li, Zhiwei Liu, Stephen Guo, Zheng Liu, Hao Peng, Philip S. Yu, Kannan Achan

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Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives

Oct 23, 2021
Da Xu, Chuanwei Ruan, Evren Korpeoglu, Sushant Kumar, Kannan Achan

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Towards the D-Optimal Online Experiment Design for Recommender Selection

Oct 23, 2021
Da Xu, Chuanwei Ruan, Evren Korpeoglu, Sushant Kumar, Kannan Achan

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Variational Inference for Category Recommendation in E-Commerce platforms

Apr 19, 2021
Ramasubramanian Balasubramanian, Venugopal Mani, Abhinav Mathur, Sushant Kumar, Kannan Achan

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A Temporal Kernel Approach for Deep Learning with Continuous-time Information

Mar 28, 2021
Da Xu, Chuanwei Ruan, Evren Korpeoglu, Sushant Kumar, Kannan Achan

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Theoretical Understandings of Product Embedding for E-commerce Machine Learning

Feb 24, 2021
Da Xu, Chuanwei Ruan, Evren Korpeoglu, Sushant Kumar, Kannan Achan

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GAN-based Recommendation with Positive-Unlabeled Sampling

Dec 12, 2020
Yao Zhou, Jianpeng Xu, Jun Wu, Zeinab Taghavi Nasrabadi, Evren Korpeoglu, Kannan Achan, Jingrui He

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A Real-Time Whole Page Personalization Framework for E-Commerce

Dec 08, 2020
Aditya Mantha, Anirudha Sundaresan, Shashank Kedia, Yokila Arora, Shubham Gupta, Gaoyang Wang, Praveenkumar Kanumala, Stephen Guo, Kannan Achan

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