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Report abuse📝 Studying ML/DL and Recommendation, Especially interested in Session-based/Sequential Recommendation and Long-tail Recommendation.
📫 How to reach me: yooonyblooming@gmail.com
For more detail information, please refer to my CV or LinkedIn
| TYPE | TERM | DETAILS | CURRENT POSITION |
|---|---|---|---|
| EDUCATION | 2021.08~2023.08 | Sungkyunkwan Univ., M.S. Student in Artificial Intelligence |
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| 2019.08~2019.12 | Indiana Univ., Exchange Student in Luddy School of Informatics, Computing, and Engineering |
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| 2016.03~2021.08 | Sungkyunkwan Univ., B.S in Library and Information Science |
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| RESEARCH EXPERIENCE | 2021.03~2021.07 | Sungkyunkwan Univ., Information & Intelligence System LAB, Undergraduate Intern |
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| CLUB | 2020.08~2021.06 | TNT, Artifical Intelligence Club | |
| 2017.12~2018.11 | President of Student Council for LIS(Library and Information Science) |
This is the code for KSC 2023 paper "Alleviating Popularity Bias in Session-based Recommendation Considering Long-tail Distribution"
Jupyter Notebook 3
This is the code for "Improving diversity and precision in sequential recommendation via RL"
Python
This is the code for KCC 2022 paper "A Study of Metric and Framework Improving Fairness-utility Trade-off in Link Prediction".
Python
Forked from gahykim/LogitAveraging
Code for 2022 Applied Science Special Issue "Logit Averaging: Capturing Global Relation for Session-based Recommendation"
Python
This repository contains my summaries of various academic papers I have read.
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