Inductive Representation Learning on Temporal Graphs D Xu, C Ruan, E Korpeoglu, S Kumar, K Achan arXiv preprint arXiv:2002.07962, 2020 | 598 | 2020 |
Self-attention with functional time representation learning D Xu, C Ruan, E Korpeoglu, S Kumar, K Achan Advances in neural information processing systems 32, 2019 | 131 | 2019 |
Product knowledge graph embedding for e-commerce D Xu, C Ruan, E Korpeoglu, S Kumar, K Achan Proceedings of the 13th International Conference on Web Search and Data …, 2020 | 105 | 2020 |
Pure: Positive-unlabeled recommendation with generative adversarial network Y Zhou, J Xu, J Wu, Z Taghavi, E Korpeoglu, K Achan, J He Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021 | 43 | 2021 |
Adversarial counterfactual learning and evaluation for recommender system D Xu, C Ruan, E Korpeoglu, S Kumar, K Achan Advances in Neural Information Processing Systems 33, 13515-13526, 2020 | 34 | 2020 |
Knowledge-aware Complementary Product Representation Learning D Xu, C Ruan, J Cho, E Korpeoglu, S Kumar, K Achan Proceedings of the 13th International Conference on Web Search and Data …, 2020 | 28 | 2020 |
Multi-period supplier selection under price uncertainty A Şen, H Yaman, K Güler, E Körpeoğlu Journal of the Operational Research Society 65 (11), 1636-1648, 2014 | 27 | 2014 |
Theoretical understandings of product embedding for e-commerce machine learning D Xu, C Ruan, E Korpeoglu, S Kumar, K Achan Proceedings of the 14th ACM international conference on web search and data …, 2021 | 20 | 2021 |
Newsvendor competition under asymmetric cost information K Güler, E Körpeoğlu, A Şen European Journal of Operational Research 271 (2), 561-576, 2018 | 19 | 2018 |
Rethinking neural vs. matrix-factorization collaborative filtering: The theoretical perspectives D Xu, C Ruan, E Korpeoglu, S Kumar, K Achan International Conference on Machine Learning, 11514-11524, 2021 | 17 | 2021 |
Generative graph convolutional network for growing graphs D Xu, C Ruan, K Motwani, E Korpeoglu, S Kumar, K Achan ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 17 | 2019 |
Non-cooperative joint replenishment under asymmetric information E Körpeoğlu, A Şen, K Güler European Journal of Operational Research 227 (3), 434-443, 2013 | 16 | 2013 |
Methods and apparatus for item substitution D Xu, R Chuanwei, K Motwani, E Korpeoglu, S Kumar, K Achan US Patent 11,068,960, 2021 | 15 | 2021 |
Personal project management I Ari, R Ghosh, ME Dekhil, E Korpeoglu US Patent App. 12/418,484, 2010 | 15 | 2010 |
Personalized review snippet generation and display HD Cho, E Korpeoglu, VSP Rapaka, K Achan US Patent 10,579,625, 2020 | 12 | 2020 |
Design and analysis of mechanisms for decentralized joint replenishment K Güler, E Körpeoğlu, A Şen European Journal of Operational Research 259 (3), 992-1002, 2017 | 12 | 2017 |
Knowledge Graph Completion Models are Few-shot Learners: An Empirical Study of Relation Labeling in E-commerce with LLMs J Chen, L Ma, X Li, N Thakurdesai, J Xu, JHD Cho, K Nag, E Korpeoglu, ... arXiv preprint arXiv:2305.09858, 2023 | 10 | 2023 |
Automatic resolution of the explore-exploit decision in omnichannel settings A Mitra, S Subramaniam, E Korpeoglu, K Achan US Patent 11,042,895, 2021 | 9 | 2021 |
A private contributions game for joint replenishment E Körpeoğlu, A Şen, K Güler Mathematical Methods of Operations Research 75, 67-82, 2012 | 9 | 2012 |
GAN-based Recommendation with Positive-Unlabeled Sampling Y Zhou, J Xu, J Wu, ZT Nasrabadi, E Korpeoglu, K Achan, J He arXiv preprint arXiv:2012.06901, 2020 | 8 | 2020 |