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yoony02/README.md

Hi there 👋

📝 Studying ML/DL and Recommendation, Especially interested in Session-based/Sequential Recommendation and Long-tail Recommendation.
📫 How to reach me: [email protected]
For more detail information, please refer to my CV or LinkedIn

Education & Programming Experience

TYPE TERM DETAILS CURRENT POSITION
EDUCATION 2021.08~2023.08 Sungkyunkwan Univ.,
M.S. Student in Artificial Intelligence
2019.08~2019.12 Indiana Univ.,
Exchange Student in Luddy School of Informatics, Computing, and Engineering
2016.03~2021.08 Sungkyunkwan Univ.,
B.S in Library and Information Science
RESEARCH EXPERIENCE 2021.03~2021.07 Sungkyunkwan Univ.,
Information & Intelligence System LAB,
Undergraduate Intern
CLUB 2020.08~2021.06 TNT, Artifical Intelligence Club
2017.12~2018.11 President of Student Council for LIS(Library and Information Science)

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  1. KSC-2022-SBMx KSC-2022-SBMx Public

    This is the code for KSC 2023 paper "Alleviating Popularity Bias in Session-based Recommendation Considering Long-tail Distribution"

    Jupyter Notebook 3

  2. RL-2022-SRRL RL-2022-SRRL Public

    This is the code for "Improving diversity and precision in sequential recommendation via RL"

    Python

  3. KCC-2022-fairU KCC-2022-fairU Public

    This is the code for KCC 2022 paper "A Study of Metric and Framework Improving Fairness-utility Trade-off in Link Prediction".

    Python

  4. AS-2022-LogitAveraging AS-2022-LogitAveraging Public

    Forked from gahykim/LogitAveraging

    Code for 2022 Applied Science Special Issue "Logit Averaging: Capturing Global Relation for Session-based Recommendation"

    Python

  5. recsys_papers recsys_papers Public

    This repository contains my summaries of various academic papers I have read.

  6. Co-Deep-Learning-2020-Fall Co-Deep-Learning-2020-Fall Public

    Jupyter Notebook 1