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
COTREC Codes for CIKM'21 paper 'Self-Supervised Graph Co-Training for Session-based Recommendation'. Requirements: Python 3.7, Pytorch 1.6.0 Best Hype
GHCF This is our implementation of the paper: Chong Chen, Weizhi Ma, Min Zhang, Zhaowei Wang, Xiuqiang He, Chenyang Wang, Yiqun Liu and Shaoping Ma. 2
DGTN: Dual-channel Graph Transition Network for Session-based Recommendation This repository contains PyTorch Implementation of ICDMW 2020 (NeuRec @ I
This repo contains a tensorflow implementation of RecoGCN and the experiment dataset Running the RecoGCN model python train.py Example training outp
KHGT Code for KHGT accepted by AAAI2021 Please unzip the data files in Datasets/ first. To run KHGT on Yelp data, use python labcode_yelp.py For Movi
News-Recommendation-system-using-Bert4Rec-model Bert4rec for news Recommendation
QRec is a Python framework for recommender systems (Supported by Python 3.7.4 and Tensorflow 1.14+) in which a number of influential and newly state-of-the-art recommendation models are implemented.
ToR[e]cSys is a PyTorch Framework to implement recommendation system algorithms, including but not limited to click-through-rate (CTR) prediction, learning-to-ranking (LTR), and Matrix/Tensor Embeddi
Included Conferences: SIGIR 2020, SIGKDD 2020, RecSys 2020, CIKM 2020, AAAI 2021, WSDM 2021, WWW 2021
DGCN This is the official implementation of our WWW'21 paper: Yu Zheng, Chen Gao, Liang Chen, Depeng Jin, Yong Li, DGCN: Diversified Recommendation wi
RecList is an open source library providing behavioral, "black-box" testing for recommender systems.
Introduction This is the repository of our accepted CIKM 2021 paper "Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Trans
MGNN-SPred This is our Tensorflow implementation for the paper: WenWang,Wei Zhang, Shukai Liu, Qi Liu, Bo Zhang, Leyu Lin, and Hongyuan Zha. 2020. Bey
This project is based on cloud services to create data lake, ETL process, train and deploy learning model to implement a recommendation system.
This project will access your last listened songs on Spotify using its API, then it will request the user to select 5 favorite songs in that list, on which the API will proceed to make 50 recommendat
Implementation-of-a-hadoop-based-movie-recommendation-system 通过编写代码，设计一个基于Hadoop的电影推荐系统，通过此推荐系统的编写，掌握在Hadoop平台上的文件操作，数据处理的技能。windows 10 hadoop 2.8.3 p
ASR This is a Tensorflow implementation of the paper: Attentive Social Recommendation: Towards User And Item Diversities Preprint, https://arxiv.org/a
A framework for large scale recommendation algorithms.
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
Group-Buying Recommendation for Social E-Commerce This is the official implementation of the paper Group-Buying Recommendation for Social E-Commerce (
43 Jan 04, 2023
53 Dec 05, 2022
25 Nov 17, 2022
30 Nov 25, 2022
32 Nov 29, 2022
2 Feb 04, 2022
1.4k Dec 27, 2022
90 Oct 08, 2022
704 Jan 06, 2023
37 Dec 18, 2022
375 Dec 30, 2022
29 Dec 09, 2022
18 Jan 02, 2023
1 Feb 02, 2022
1 Dec 14, 2021
5 Oct 02, 2022
1 Nov 14, 2021
880 Jan 03, 2023
3 Oct 30, 2022
37 Nov 28, 2022