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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

* Companion Proceedings of the Web Conference 2021, 349-356 
* 8 pages, 1 figure. arXiv admin note: substantial text overlap with arXiv:2007.11768 

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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

* 8 pages, 3 figures, 2 tables 

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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

* 12 pages 

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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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On Detecting Data Pollution Attacks On Recommender Systems Using Sequential GANs


Dec 04, 2020
Behzad Shahrasbi, Venugopal Mani, Apoorv Reddy Arrabothu, Deepthi Sharma, Kannan Achan, Sushant Kumar

* 8 pages, 4 Figures 

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On Variational Inference for User Modeling in Attribute-Driven Collaborative Filtering


Dec 02, 2020
Venugopal Mani, Ramasubramanian Balasubramanian, Sushant Kumar, Abhinav Mathur, Kannan Achan

* 9 pages, 2 figures, 1 algorithm 

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An End-to-End ML System for Personalized Conversational Voice Models in Walmart E-Commerce


Nov 02, 2020
Rahul Radhakrishnan Iyer, Praveenkumar Kanumala, Stephen Guo, Kannan Achan

* 4 pages, 1 figure 

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Basket Recommendation with Multi-Intent Translation Graph Neural Network


Oct 22, 2020
Zhiwei Liu, Xiaohan Li, Ziwei Fan, Stephen Guo, Kannan Achan, Philip S. Yu

* 978-1-7281-6251-5/20/\$31.00~\copyright2020 IEEE 
* Accepted to IEEE Bigdata 2020. Code is available online at https://github.com/JimLiu96/MITGNN 

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Product Title Generation for Conversational Systems using BERT


Jul 23, 2020
Mansi Ranjit Mane, Shashank Kedia, Aditya Mantha, Stephen Guo, Kannan Achan


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Inductive Representation Learning on Temporal Graphs


Feb 19, 2020
Da Xu, Chuanwei Ruan, Evren Korpeoglu, Sushant Kumar, Kannan Achan


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BasConv: Aggregating Heterogeneous Interactions for Basket Recommendation with Graph Convolutional Neural Network


Jan 14, 2020
Zhiwei Liu, Mengting Wan, Stephen Guo, Kannan Achan, Philip S. Yu

* Accepted by SDM 2020 

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Self-attention with Functional Time Representation Learning


Nov 28, 2019
Da Xu, Chuanwei Ruan, Sushant Kumar, Evren Korpeoglu, Kannan Achan


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Product Knowledge Graph Embedding for E-commerce


Nov 28, 2019
Da Xu, Chuanwei Ruan, Evren Korpeoglu, Sushant Kumar, Kannan Achan


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A Large-Scale Deep Architecture for Personalized Grocery Basket Recommendations


Nov 13, 2019
Aditya Mantha, Yokila Arora, Shubham Gupta, Praveenkumar Kanumala, Zhiwei Liu, Stephen Guo, Kannan Achan


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Complementary-Similarity Learning using Quadruplet Network


Sep 14, 2019
Mansi Ranjit Mane, Stephen Guo, Kannan Achan


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Generative Graph Convolutional Network for Growing Graphs


Mar 06, 2019
Da Xu, Chuanwei Ruan, Kamiya Motwani, Evren Korpeoglu, Sushant Kumar, Kannan Achan


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Robust Counterfactual Inferences using Feature Learning and their Applications


Aug 22, 2018
Abhimanyu Mitra, Kannan Achan, Sushant Kumar

* 15 pages,1 Figure 

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A Factorized Variational Technique for Phase Unwrapping in Markov Random Fields


Jan 10, 2013
Kannan Achan, Brendan J. Frey, Ralf Koetter

* Appears in Proceedings of the Seventeenth Conference on Uncertainty in Artificial Intelligence (UAI2001) 

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