AAAI-2021 《Knowledge-aware Coupled Graph Neural Network for Social Recommendation》
train model:
Dataset: Yelp, Result: test HR = 0.8026, test NDCG = 0.5326
python main.py --dataset Yelp --reg 0.05 --lr 0.01 --batch 2048 --hide_dim 64 --layer [64] --slope 0.4 --time_step 360 --lam [0.1,0.001] --clear 1 --fuse mean
Persine, the Persona Engine Persine is an automated tool to study and reverse-engineer algorithmic recommendation systems. It has a simple interface a
A general purpose recommender metrics library for fair evaluation.
This project is based on cloud services to create data lake, ETL process, train and deploy learning model to implement a recommendation system.
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Dependencies NOTE: This code has been updated, if you were using this repo earlier and experienced issues that was due to an outaded codebase. Please
PPGN Codes for CIKM 2019 paper Cross-Domain Recommendation via Preference Propagation GraphNet. Citation Please cite our paper if you find this code u
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DMBGN: Deep Multi-Behaviors Graph Networks for Voucher Redemption Rate Prediction The implementation of the accepted paper "Deep Multi-Behaviors Graph
Collaborative Variational Bandwidth Auto-encoder The codes are associated with the following paper: Collaborative Variational Bandwidth Auto-encoder f
PUP This is the official implementation of our ICDE'20 paper: Yu Zheng, Chen Gao, Xiangnan He, Yong Li, Depeng Jin, Price-aware Recommendation with Gr
DGTN: Dual-channel Graph Transition Network for Session-based Recommendation This repository contains PyTorch Implementation of ICDMW 2020 (NeuRec @ I
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Recommendation engines are one of the most well known, widely used and highest value use cases for applying machine learning. Despite this, while there are many resources available for the basics of
TensorRec A TensorFlow recommendation algorithm and framework in Python. NOTE: TensorRec is not under active development TensorRec will not be receivi
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