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Myongji University
- Yongin-suji, Korea
- https://hou27.tistory.com
- https://orcid.org/0009-0002-5409-7728
Highlights
- Pro
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Quickchive/quickchive-backend
Quickchive/quickchive-backend PublicRepository for quickchive backend
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movie_recommendation
movie_recommendation PublicThis is a movie recommendation system based on bipartite graphs that uses the IMDB and TMDB dataset to recommend movies to users based on movie similarity and user preferences using graph represent…
Jupyter Notebook
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Enhanced_MovieLens_Recommender
Enhanced_MovieLens_Recommender PublicA project focused on preprocessing the MovieLens dataset and optimizing the BPR loss function to improve movie recommendation system performance. This work redefines positive/negative sample criter…
Python 1
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ReCDAP-FKGC
ReCDAP-FKGC PublicReCDAP is a framework for Few-shot Knowledge Graph Completion, SIGIR 2025
Python 2
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