leidaxia

Awesome-LLM-for-RecSys

Survey: A collection of AWESOME papers and resources on the large language model (LLM) related recommender system topics.

x-deeplearning

An industrial deep learning framework for high-dimension sparse data

text-adversarial-training

Transfer-Learning-Library

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

prompt-patterns

Prompt 编写模式：如何将思维框架赋予机器，以设计模式的形式来思考 prompt

nann

A flexible, high-performance framework for large-scale retrieval problems based on TensorFlow.

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

RecBole

A unified, comprehensive and efficient recommendation library

DIF-SR

EC4SRec

Code for the CIKM2022 Paper "Explanation Guided Contrastive Learning for Sequential Recommendation"

ICLRec

gc-mc

DiCE

Generate Diverse Counterfactual Explanations for any machine learning model.

PyGCL

PyGCL: A PyTorch Library for Graph Contrastive Learning

DSSRec

Disentangled Self-Supervision in Sequential Recommenders

CIKM2020-S3Rec

Code for CIKM2020 "S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization"

SDM

Sequential deep matching model for recommender system at Alibaba

MKM-SR

Incorporating User Micro-behaviors and Item Knowledge 59 60 3 into Multi-task Learning for Session-based Recommendation

MACR

[KDD 2021] Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System

PDA

This is an implementation for our SIGIR 2021 paper "Causal Intervention for Leveraging Popularity Bias inRecommendation" based on tensorflow..

RecDebiasing

This repository collects debiasing methods for recommendation

CausE

Code for the Recsys 2018 paper entitled Causal Embeddings for Recommandation.

xDeepFM

DICE

The official implementation of "Disentangling User Interest and Conformity for Recommendation with Causal Embedding" (WWW '21)

TiSASRec

TensorFlow implementation for paper Time Interval Aware Self-Attention for Sequential Recommendation.

A-PGNN

[TKDE 2021] Source code and datasets for the paper "Personalizing Graph Neural Networks with Attention Mechanism for Session-based Recommendation"

SASRec

SASRec: Self-Attentive Sequential Recommendation

RecLearn

Recommender Learning with Tensorflow2.x

Ad-papers

Papers on Computational Advertising

TAGNN

[SIGIR 2020] Python implementation for "TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation"