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推荐系统入门指南，全面介绍了工业级推荐系统的理论知识（王树森推荐系统公开课-基于小红书的场景讲解工业界真实的推荐系统），如何基于TensorFlow2训练模型，如何实现高性能、高并发、高可用的Golang推理微服务。Comprehensively introduced the theory of industrial recommender system, how to trainning …
Source code of our SIGIR'24 paper titled "Leave No Patient Behind: Enhancing Medication Recommendation for Rare Disease Patients".
This repository contains recent research papers, datasets, and source codes (if any) for Group Recommendation
Awesome-pytorch-list 翻译工作进行中......
The latest paper list of large language model (LLM) for recommendation
A list of awesome papers and resources of recommender system on large language model (LLM).
BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer
The code for WWW2024 paper "Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions".
HealthiVert-GAN, a novel deep-learning framework designed to generate pseudo-healthy vertebral images. These images simulate the pre-fractured state of vertebrae, offering a potential improvement i…
Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neu…
[KDD'2024] "HiGPT: Heterogenous Graph Language Models"
👩🏿💻👨🏾💻👩🏼💻👨🏽💻👩🏻💻中国独立开发者项目列表 -- 分享大家都在做什么
总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力
[WSDM'2024 Oral] "LLMRec: Large Language Models with Graph Augmentation for Recommendation"
The official codes of Rethinking Knowledge Graph Evaluation Under the Open-World Assumption (NeurIPS 2022)
「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！
The source code of MacGNN, The Web Conference 2024.
Must-read papers on graph foundation models (GFMs)
An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)
Must-read papers on graph neural networks (GNN)
Implementation and experiments of graph embedding algorithms.