Session-based Recommendation, CoHHN, price preferences, interest preferences, Heterogeneous Hypergraph, Co-guided Learning, SIGIR2022

Last update: Dec 02, 2022

Related tags

Deep Learning CoHHN

Overview

This is our implementation for the paper:

Price DOES Matter! Modeling Price and Interest Preferences in Session-based Recommendation

Xiaokun Zhang, Bo Xu, Liang Yang, Chenliang Li, Fenglong Ma, Haifeng Liu, Hongfei Lin

at SIGIR, 2022

Environments: Python3, Pytorch 1.9.1, Numpy 1.19.2

Download path of datasets:

Cosmetics: https://www.kaggle.com/mkechinov/ecommerce-events-history-in-cosmeticsshop

Diginetica-buy: https://competitions.codalab.org/competitions/11161

Amazon: http://jmcauley.ucsd.edu/data/amazon/

We also uploaded all three preprocessed datasets under the folder 'datasets'. You can directly use them to reproduce our results.

Please cite our paper if you use our codes. Thanks!

In case that you have any difficulty about the implementation or you are interested in our work, please feel free to communicate with us by:

Author: Xiaokun Zhang ([email protected] / [email protected])

Owner

Xiaokun Zhang

GitHub Repository

Fully Adaptive Bayesian Algorithm for Data Analysis (FABADA) is a new approach of noise reduction methods. In this repository is shown the package developed for this new method based on \citepaper.

Fully Adaptive Bayesian Algorithm for Data Analysis FABADA FABADA is a novel non-parametric noise reduction technique which arise from the point of vi

18 Oct 20, 2022

Learning Lightweight Low-Light Enhancement Network using Pseudo Well-Exposed Images

Learning Lightweight Low-Light Enhancement Network using Pseudo Well-Exposed Images This repository contains the implementation of the following paper

9 Jul 30, 2022

A collection of implementations of deep domain adaptation algorithms

Deep Transfer Learning on PyTorch This is a PyTorch library for deep transfer learning. We divide the code into two aspects: Single-source Unsupervise

647 Jan 03, 2023

Code repository accompanying the paper "On Adversarial Robustness: A Neural Architecture Search perspective"

On Adversarial Robustness: A Neural Architecture Search perspective Preparation: Clone the repository: https://github.com/tdchaitanya/nas-robustness.g

4 Nov 10, 2022

Semi-Supervised Graph Prototypical Networks for Hyperspectral Image Classification, IGARSS, 2021.

Semi-Supervised Graph Prototypical Networks for Hyperspectral Image Classification, IGARSS, 2021. Bobo Xi, Jiaojiao Li, Yunsong Li and Qian Du. Code f

7 Nov 03, 2022

A certifiable defense against adversarial examples by training neural networks to be provably robust

DiffAI v3 DiffAI is a system for training neural networks to be provably robust and for proving that they are robust. The system was developed for the

202 Dec 13, 2022

Pytorch implementation for Patient Knowledge Distillation for BERT Model Compression

Patient Knowledge Distillation for BERT Model Compression Knowledge distillation for BERT model Installation Run command below to install the environm

180 Dec 19, 2022

A hand tracking demo made with mediapipe where you can control lights with pinching your fingers and moving your hand up/down.

HandTrackingBrightnessControl A hand tracking demo made with mediapipe where you can control lights with pinching your fingers and moving your hand up

19 Feb 12, 2022

Utility tools for the "Divide and Remaster" dataset, introduced as part of the Cocktail Fork problem paper

Divide and Remaster Utility Tools Utility tools for the "Divide and Remaster" dataset, introduced as part of the Cocktail Fork problem paper The DnR d

46 Dec 11, 2022

This repository contains numerical implementation for the paper Intertemporal Pricing under Reference Effects: Integrating Reference Effects and Consumer Heterogeneity.

6 Nov 18, 2022

Session-based Recommendation, CoHHN, price preferences, interest preferences, Heterogeneous Hypergraph, Co-guided Learning, SIGIR2022

Related tags

Overview

Owner

Xiaokun Zhang

Fully Adaptive Bayesian Algorithm for Data Analysis (FABADA) is a new approach of noise reduction methods. In this repository is shown the package developed for this new method based on \citepaper.

Learning Lightweight Low-Light Enhancement Network using Pseudo Well-Exposed Images

A collection of implementations of deep domain adaptation algorithms

Code repository accompanying the paper "On Adversarial Robustness: A Neural Architecture Search perspective"

Semi-Supervised Graph Prototypical Networks for Hyperspectral Image Classification, IGARSS, 2021.

A certifiable defense against adversarial examples by training neural networks to be provably robust

Pytorch implementation for Patient Knowledge Distillation for BERT Model Compression

A hand tracking demo made with mediapipe where you can control lights with pinching your fingers and moving your hand up/down.

Utility tools for the "Divide and Remaster" dataset, introduced as part of the Cocktail Fork problem paper

This repository contains numerical implementation for the paper Intertemporal Pricing under Reference Effects: Integrating Reference Effects and Consumer Heterogeneity.

[ICCV' 21] "Unsupervised Point Cloud Pre-training via Occlusion Completion"

用强化学习DQN算法，训练AI模型来玩合成大西瓜游戏，提供Keras版本和PARL（paddle）版本

Framework for evaluating ANNS algorithms on billion scale datasets.

GANTheftAuto is a fork of the Nvidia's GameGAN

The Face Mask recognition system uses AI technology to detect the person with or without a mask.

Pytorch implementation of SenFormer: Efficient Self-Ensemble Framework for Semantic Segmentation

Code of paper "Compositionally Generalizable 3D Structure Prediction"

Understanding Convolutional Neural Networks from Theoretical Perspective via Volterra Convolution

Object tracking implemented with YOLOv4, DeepSort, and TensorFlow.

Visual Adversarial Imitation Learning using Variational Models (VMAIL)