Beyond Clicks: Modeling Multi-Relational Item Graph for Session-Based Target Behavior Prediction

Last update: Jan 02, 2023

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Overview

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. Beyond Clicks: Modeling Multi-Relational Item Graph for Session-Based Target Behavior Prediction. In Proceedings of The Web Conference 2020 (WWW ’20), April 20–24, 2020, Taipei, Taiwan.
A deep learning model for session-based target behavior prediction

Support

Python version: 3.6.9
tensorflow version: 1.12.0

Dataset

https://s3-eu-west-1.amazonaws.com/yc-rdata/yoochoose-data.7z

Usage:

data:

./run_time/data/yc/yoochoose-buys.dat
./run_time/data/yc/yoochoose-clicks.dat

command

python3 preprocessing_data.py
python3 main.py

Owner

Wen Wang

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Beyond Clicks: Modeling Multi-Relational Item Graph for Session-Based Target Behavior Prediction

Related tags

Overview

MGNN-SPred

Support

Dataset

Usage:

data:

command

Owner

Wen Wang

reXmeX is recommender system evaluation metric library.

Fast Python Collaborative Filtering for Implicit Feedback Datasets

RecList is an open source library providing behavioral, "black-box" testing for recommender systems.

Spark-movie-lens - An on-line movie recommender using Spark, Python Flask, and the MovieLens dataset

Bundle Graph Convolutional Network

It is a movie recommender web application which is developed using the Python.

A library of metrics for evaluating recommender systems

Cross-Domain Recommendation via Preference Propagation GraphNet.

Graph Neural Networks for Recommender Systems

Implementation of a hadoop based movie recommendation system

Knowledge-aware Coupled Graph Neural Network for Social Recommendation

NVIDIA Merlin is an open source library designed to accelerate recommender systems on NVIDIA’s GPUs.

Hierarchical Fashion Graph Network for Personalized Outfit Recommendation, SIGIR 2020

Elliot is a comprehensive recommendation framework that analyzes the recommendation problem from the researcher's perspective.

Codes for CIKM'21 paper 'Self-Supervised Graph Co-Training for Session-based Recommendation'.

A framework for large scale recommendation algorithms.

Recommender System Papers

Beyond Clicks: Modeling Multi-Relational Item Graph for Session-Based Target Behavior Prediction

Reinforcement Knowledge Graph Reasoning for Explainable Recommendation