A recommendation system for suggesting new books given similar books.

Last update: Jan 06, 2022

Overview

Book Recommendation System

A recommendation system for suggesting new books given similar books.

Datasets

Notebooks

goodreads-EDA.ipynb: Data cleaning and investigation
book-recsys.ipynb: first pass at simple and content based recommendations
goodreads-book-recsys-kaggle-v1.ipynb: All EDA and models. Added hybrid rating weighted and content based recommendations.

Owner

Sam Partee

Machine Learning Engineer @HPE_Cray | HPC @ AI

GitHub Repository

Bundle Graph Convolutional Network

Bundle Graph Convolutional Network This is our Pytorch implementation for the paper: Jianxin Chang, Chen Gao, Xiangnan He, Depeng Jin and Yong Li. Bun

55 Dec 25, 2022

RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems

RecSim NG, a probabilistic platform for multi-agent recommender systems simulation. RecSimNG is a scalable, modular, differentiable simulator implemented in Edward2 and TensorFlow. It offers: a power

110 Dec 16, 2022

Codes for AAAI'21 paper 'Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation'

DHCN Codes for AAAI 2021 paper 'Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation'. Please note that the default link

124 Dec 14, 2022

Implementation of a hadoop based movie recommendation system

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

5 Oct 02, 2022

A PyTorch implementation of "Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information" (WSDM 2021)

FairGNN A PyTorch implementation of "Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information" (

31 Jan 04, 2023

Hierarchical Fashion Graph Network for Personalized Outfit Recommendation, SIGIR 2020

hierarchical_fashion_graph_network This is our Tensorflow implementation for the paper: Xingchen Li, Xiang Wang, Xiangnan He, Long Chen, Jun Xiao, and

70 Dec 05, 2022

Code for KHGT model, AAAI2021

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

32 Nov 29, 2022

Graph Neural Network based Social Recommendation Model. SIGIR2019.

Basic Information: This code is released for the papers: Le Wu, Peijie Sun, Yanjie Fu, Richang Hong, Xiting Wang and Meng Wang. A Neural Influence Dif

144 Dec 29, 2022

A movie recommender which recommends the movies belonging to the genre that user has liked the most.

Content-Based-Movie-Recommender-System This model relies on the similarity of the items being recommended. (I have used Pandas and Numpy. However othe

0 Mar 31, 2022

Cloud-based recommendation system

This project is based on cloud services to create data lake, ETL process, train and deploy learning model to implement a recommendation system.

1 Feb 02, 2022

Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer

Introduction This is the repository of our accepted CIKM 2021 paper "Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Trans

29 Dec 09, 2022

Code for my ORSUM, ACM RecSys 2020, HeroGRAPH: A Heterogeneous Graph Framework for Multi-Target Cross-Domain Recommendation

HeroGRAPH Code for my ORSUM @ RecSys 2020, HeroGRAPH: A Heterogeneous Graph Framework for Multi-Target Cross-Domain Recommendation Paper, workshop pro

9 Sep 14, 2022

A recommendation system for suggesting new books given similar books.

Related tags

Overview

Book Recommendation System

Datasets

Notebooks

Owner

Sam Partee

Bundle Graph Convolutional Network

RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems

Codes for AAAI'21 paper 'Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation'

Implementation of a hadoop based movie recommendation system

A PyTorch implementation of "Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information" (WSDM 2021)

Hierarchical Fashion Graph Network for Personalized Outfit Recommendation, SIGIR 2020

Code for KHGT model, AAAI2021

Graph Neural Network based Social Recommendation Model. SIGIR2019.

A movie recommender which recommends the movies belonging to the genre that user has liked the most.

Cloud-based recommendation system

Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer

Code for my ORSUM, ACM RecSys 2020, HeroGRAPH: A Heterogeneous Graph Framework for Multi-Target Cross-Domain Recommendation

Code for ICML2019 Paper "Compositional Invariance Constraints for Graph Embeddings"

Recommendation Systems for IBM Watson Studio platform

Recommender systems are the systems that are designed to recommend things to the user based on many different factors

基于个性化推荐的音乐播放系统

Learning Fair Representations for Recommendation: A Graph-based Perspective, WWW2021

Recommendation System to recommend top books from the dataset

Cross-Domain Recommendation via Preference Propagation GraphNet.

Handling Information Loss of Graph Neural Networks for Session-based Recommendation