Papers on Computational Advertising

推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/

RSTutorials: A Curated List of Must-read Papers on Recommender System.

Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"

Multi-thread implementation of Factorization Machines with FTRL for binary-class classification problem.

Multi-thread implementation of Factorization Machines with FTRL for multi-class classification problem which uses softmax as hypothesis.

An industrial deep learning framework for high-dimension sparse data

Paper List for Recommend-system PreTrained Models

Official repository for "Exploiting Session Information in BERT-based Session-aware Sequential Recommendation", SIGIR 2022 short.

The latest research progress of Contrastive Learning(CL), Data Augmentation(DA) and Self-Supervised Learning(SSL) in Recommender Systems

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…

Reinforced Recommendation toolkit built around pytorch 1.7

SASRec: Self-Attentive Sequential Recommendation

A list of awesome papers and resources of recommender system on large language model (LLM).

Repository hosting code for "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152).

An open-source framework for self-supervised recommender systems.