Evren Körpeoglu

According to our database, Evren Körpeoglu authored at least 31 papers between 2012 and 2024.

Collaborative distances:

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

2024

Relation labeling in product knowledge graphs with large language models for e-commerce.

Jiao Chen, Luyi Ma, Xiaohan Li, Jianpeng Xu, Jason H. D. Cho, Kaushiki Nag, Evren Körpeoglu, Sushant Kumar, Kannan Achan

Int. J. Mach. Learn. Cybern., December, 2024

Decoding Style: Efficient Fine-Tuning of LLMs for Image-Guided Outfit Recommendation with Preference.

Najmeh Forouzandehmehr, Nima Farrokhsiar, Ramin Giahi, Evren Körpeoglu, Kannan Achan

CoRR, 2024

LLM-Ensemble: Optimal Large Language Model Ensemble Method for E-commerce Product Attribute Value Extraction.

Chenhao Fang, Xiaohan Li, Zezhong Fan, Jianpeng Xu, Kaushiki Nag, Evren Körpeoglu, Sushant Kumar, Kannan Achan

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Workshop on Generative AI for E-commerce.

Mansi Ranjit Mane, Djordje Gligorijevic, Dingxian Wang, Behzad Shahrasbi, Topojoy Biswas, Evren Körpeoglu, Marios Savvides

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

2023

Knowledge Graph Completion Models are Few-shot Learners: An Empirical Study of Relation Labeling in E-commerce with LLMs.

Jiao Chen, Luyi Ma, Xiaohan Li, Nikhil Thakurdesai, Jianpeng Xu, Jason H. D. Cho, Kaushiki Nag, Evren Körpeoglu, Sushant Kumar, Kannan Achan

CoRR, 2023

GNN-GMVO: Graph Neural Networks for Optimizing Gross Merchandise Value in Similar Item Recommendation.

Ramin Giahi, Reza Yousefi Maragheh, Nima Farrokhsiar, Jianpeng Xu, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan

Proceedings of the IEEE International Conference on Data Mining, 2023

LLM-TAKE: Theme-Aware Keyword Extraction Using Large Language Models.

Reza Yousefi Maragheh, Chenhao Fang, Charan Chand Irugu, Parth Parikh, Jason H. D. Cho, Jianpeng Xu, Saranyan Sukumar, Malay Patel, Evren Körpeoglu, Sushant Kumar, Kannan Achan

Proceedings of the IEEE International Conference on Big Data, 2023

LLMs with User-defined Prompts as Generic Data Operators for Reliable Data Processing.

Luyi Ma, Nikhil Thakurdesai, Jiao Chen, Jianpeng Xu, Evren Körpeoglu, Sushant Kumar, Kannan Achan

Proceedings of the IEEE International Conference on Big Data, 2023

Character-based Outfit Generation with Vision-augmented Style Extraction via LLMs.

Najmeh Forouzandehmehr, Yijie Cao, Nikhil Thakurdesai, Ramin Giahi, Luyi Ma, Nima Farrokhsiar, Jianpeng Xu, Evren Körpeoglu, Kannan Achan

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Causal Structure Learning with Recommendation System.

Shuyuan Xu, Da Xu, Evren Körpeoglu, Sushant Kumar, Stephen D. Guo, Kannan Achan, Yongfeng Zhang

CoRR, 2022

From Intervention to Domain Transportation: A Novel Perspective to Optimize Recommendation.

Da Xu, Yuting Ye, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan

Proceedings of the Tenth International Conference on Learning Representations, 2022

Prospect-Net: Top-K Retrieval Problem Using Prospect Theory.

Reza Yousefi Maragheh, Ramin Giahi, Jianpeng Xu, Lalitesh Morishetti, Shanu Vashishtha, Kaushiki Nag, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Theoretical Understandings of Product Embedding for E-commerce Machine Learning.

Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan

Proceedings of the WSDM '21, 2021

PURE: Positive-Unlabeled Recommendation with Generative Adversarial Network.

Yao Zhou, Jianpeng Xu, Jun Wu, Zeinab Taghavi Nasrabadi, Evren Körpeoglu, Kannan Achan, Jingrui He

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Towards the D-Optimal Online Experiment Design for Recommender Selection.

Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

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

Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan

Proceedings of the 38th International Conference on Machine Learning, 2021

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

Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan

Proceedings of the 9th International Conference on Learning Representations, 2021

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

Luyi Ma, Jianpeng Xu, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

GAN-based Recommendation with Positive-Unlabeled Sampling.

Yao Zhou, Jianpeng Xu, Jun Wu, Zeinab Taghavi Nasrabadi, Evren Körpeoglu, Kannan Achan, Jingrui He

CoRR, 2020

Product Knowledge Graph Embedding for E-commerce.

Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Knowledge-aware Complementary Product Representation Learning.

Da Xu, Chuanwei Ruan, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Adversarial Counterfactual Learning and Evaluation for Recommender System.

Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Inductive representation learning on temporal graphs.

Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Modeling Complementary Products and Customer Preferences with Context Knowledge for Online Recommendation.

Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan

CoRR, 2019

Self-attention with Functional Time Representation Learning.

Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Generative Graph Convolutional Network for Growing Graphs.

Da Xu, Chuanwei Ruan, Kamiya Motwani, Evren Körpeoglu, Sushant Kumar, Kannan Achan

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Newsvendor competition under asymmetric cost information.

Kemal Güler, Evren Körpeoglu, Alper Sen

Eur. J. Oper. Res., 2018

2017

Design and analysis of mechanisms for decentralized joint replenishment.

Kemal Güler, Evren Körpeoglu, Alper Sen

Eur. J. Oper. Res., 2017

2014

Multi-period supplier selection under price uncertainty.

Alper Sen, Hande Yaman, Kemal Güler, Evren Körpeoglu

J. Oper. Res. Soc., 2014

2013

Non-cooperative joint replenishment under asymmetric information.

Evren Körpeoglu, Alper Sen, Kemal Güler

Eur. J. Oper. Res., 2013

2012

A private contributions game for joint replenishment.

Evren Körpeoglu, Alper Sen, Kemal Güler

Math. Methods Oper. Res., 2012