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2024 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.
This Repository includes recent papers (RecSys, SIGIR, WWW, etc.) related to the Recommender Systems
RSTutorials: A Curated List of Must-read Papers on Recommender System.
Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle
An open-source framework for self-supervised recommender systems.
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.
搜索、推荐、广告、用增等工业界实践文章收集（来源：知乎、Datafuntalk、技术公众号）
cntswj / Awesome-CS-Books
Forked from rocky-191/Awesome-CS-Books📚 Awesome CS Books/Series(.pdf by git lfs) Warehouse for Geeks, ProgrammingLanguage, SoftwareEngineering, Web, AI, ServerSideApplication, Infrastructure, FE etc. 💫 优秀计算机科学与技术领域相关的书籍归档
Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Pre-Ranking, Ranking (CTR/CVR prediction), Post Ranking, Relevance, LLM, Rei…
3rd Place Solution for the OTTO – Multi-Objective Recommender System Competition
Best Practices on Recommendation Systems
A Comparative Framework for Multimodal Recommender Systems
Download and preprocess popular sequential recommendation datasets
A framework for large scale recommendation algorithms.
A demo code of KDD2020 paper "M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems"
An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)
Codes for papers: 1. Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters (ICML). 2. Less is More: Exploring Simple and Powerful Low-pass Graph Convolutional Network f…
Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"
OpenBOR is the ultimate 2D side scrolling engine for beat em' ups, shooters, and more!
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training