Evren Körpeoglu

According to our database1, Evren Körpeoglu authored at least 28 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
LLM-Ensemble: Optimal Large Language Model Ensemble Method for E-commerce Product Attribute Value Extraction.
CoRR, 2024

2023
Knowledge Graph Completion Models are Few-shot Learners: An Empirical Study of Relation Labeling in E-commerce with LLMs.
CoRR, 2023

GNN-GMVO: Graph Neural Networks for Optimizing Gross Merchandise Value in Similar Item Recommendation.
Proceedings of the IEEE International Conference on Data Mining, 2023

LLM-TAKE: Theme-Aware Keyword Extraction Using Large Language Models.
Proceedings of the IEEE International Conference on Big Data, 2023

LLMs with User-defined Prompts as Generic Data Operators for Reliable Data Processing.
Proceedings of the IEEE International Conference on Big Data, 2023

Character-based Outfit Generation with Vision-augmented Style Extraction via LLMs.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
Causal Structure Learning with Recommendation System.
CoRR, 2022

From Intervention to Domain Transportation: A Novel Perspective to Optimize Recommendation.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Prospect-Net: Top-K Retrieval Problem Using Prospect Theory.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Theoretical Understandings of Product Embedding for E-commerce Machine Learning.
Proceedings of the WSDM '21, 2021

PURE: Positive-Unlabeled Recommendation with Generative Adversarial Network.
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.
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.
Proceedings of the 38th International Conference on Machine Learning, 2021

A Temporal Kernel Approach for Deep Learning with Continuous-time Information.
Proceedings of the 9th International Conference on Learning Representations, 2021

NEAT: A Label Noise-resistant Complementary Item Recommender System with Trustworthy Evaluation.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
GAN-based Recommendation with Positive-Unlabeled Sampling.
CoRR, 2020

Product Knowledge Graph Embedding for E-commerce.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Knowledge-aware Complementary Product Representation Learning.
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.
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.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Modeling Complementary Products and Customer Preferences with Context Knowledge for Online Recommendation.
CoRR, 2019

Self-attention with Functional Time Representation Learning.
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.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Newsvendor competition under asymmetric cost information.
Eur. J. Oper. Res., 2018

2017
Design and analysis of mechanisms for decentralized joint replenishment.
Eur. J. Oper. Res., 2017

2014
Multi-period supplier selection under price uncertainty.
J. Oper. Res. Soc., 2014

2013
Non-cooperative joint replenishment under asymmetric information.
Eur. J. Oper. Res., 2013

2012
A private contributions game for joint replenishment.
Math. Methods Oper. Res., 2012


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