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A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io
Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Ranking (CTR/CVR prediction), Post Ranking, Large Model (Generative Recommen…
A library for time series analysis on Apache Spark
A framework for large scale recommendation algorithms.
Best Practices on Recommendation Systems
本项目是针对RAG中的Retrieve阶段的召回技术及算法效果所做评估实验。使用主体框架为LlamaIndex.
Source code for Twitter's Recommendation Algorithm
Classic papers and resources on recommendation
Pytorch🍊🍉 is delicious, just eat it! 😋😋
练习下用pytorch来复现下经典的推荐系统模型, 如MF, FM, DeepConn, MMOE, PLE, DeepFM, NFM, DCN, AFM, AutoInt, ONN, FiBiNET, DCN-v2, AFN, DCAP等
A Comparative Framework for Multimodal Recommender Systems
A unified, comprehensive and efficient recommendation library
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
Recommendation Algorithm大规模推荐算法库，包含推荐系统经典及最新算法LR、Wide&Deep、DSSM、TDM、MIND、Word2Vec、Bert4Rec、DeepWalk、SSR、AITM，DSIN，SIGN，IPREC、GRU4Rec、Youtube_dnn、NCF、GNN、FM、FFM、DeepFM、DCN、DIN、DIEN、DLRM、MMOE、PLE、ESM…
Source code and dataset for paper "CBMR: An optimized MapReduce for item‐based collaborative filtering recommendation algorithm with empirical analysis"
A recommender systems development and evaluation package by Mendeley
该仓库尝试整理推荐系统领域的一些经典算法模型
NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature engineering and preprocessing to training deep learning models and running inference i…