Lists (4)
Starred repositories
Official code for "AlphaFree : Recommendation Free from Users, IDs, and GNNs" (WWW 26)
[KDD'25] Revisiting Self-attention for Cross-domain Sequential Recommendation
GAMER: Generative Augmentation and Multi-Level Behavior Modeling for Sequential Recommendation
Gigantic Graph Learning (GiGL) Framework: Large-scale training and inference for Graph Neural Networks
Curated list of AI-powered developer tools.
Causal Inference for The Brave and True 책의 한국어 번역 자료입니다.
실험 플랫폼에 대한 자료를 정리한 저장소입니다.
[INTERSPEECH'25] Official repository for "Towards Human-like Multimodal Conversational Agent by Generating Engaging Speech"
[TKDE '26] Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation
Official code for "A Self-Supervised Mixture of Experts Framework for Multi-behavior Recommendation" (CIKM 25)
Datascience-Interview-Questions for Korean
Awesome things about generative recommendation models.
Extremely fast Query Engine for DataFrames, written in Rust
[이력서/경력기술서] Beautiful CV/resume template for Koreans, in LaTeX
O'Reilly Book: [Data Algorithms with Spark] by Mahmoud Parsian
This is the github repo for Learning Spark: Lightning-Fast Data Analytics [2nd Edition]
파이썬을 이용한 업무 자동화 소스코드를 모아 놓은 저장소입니다.
[Up-to-date] A curated list of resources on cold-start recommendations.
Python tool for converting files and office documents to Markdown.
"SCONE: A Novel Stochastic Sampling to Generate Contrastive Views and Hard Negative Samples for Recommendation", WSDM 2025
This is our implementation of EHCF: Efficient Heterogeneous Collaborative Filtering (AAAI 2020)
개발자를 위한 이력서 작성 가이드, 포맷 그리고 다양한 예시들
⚡️A Blazing-Fast Python Library for Ranking Evaluation, Comparison, and Fusion 🐍
推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.