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

Price-aware Recommendation with Graph Convolutional Networks,

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

3 Oct 30, 2022

QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)

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.

1.4k Dec 27, 2022

Code for MB-GMN, SIGIR 2021

MB-GMN Code for MB-GMN, SIGIR 2021 For Beibei data, run python .\labcode.py For Tmall data, run python .\labcode.py --data tmall --rank 2 For IJCAI

32 Dec 04, 2022

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

FairGo WWW2021 Learning Fair Representations for Recommendation: A Graph-based Perspective As a key application of artificial intelligence, recommende

39 Oct 26, 2022

Bert4rec for news Recommendation

News-Recommendation-system-using-Bert4Rec-model Bert4rec for news Recommendation

2 Feb 04, 2022

Dual Graph Attention Networks for Deep Latent Representation of Multifaceted Social Effects in Recommender Systems

DANSER-WWW-19 This repository holds the codes for Dual Graph Attention Networks for Deep Latent Representation of Multifaceted Social Effects in Recom

78 Dec 10, 2022

A library of metrics for evaluating recommender systems

recmetrics A python library of evalulation metrics and diagnostic tools for recommender systems. **This library is activly maintained. My goal is to c

458 Jan 06, 2023

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

Detecting Beneficial Feature Interactions for Recommender Systems, AAAI 2021

Detecting Beneficial Feature Interactions for Recommender Systems (L0-SIGN) This is our implementation for the paper: Su, Y., Zhang, R., Erfani, S., &

26 Nov 22, 2022

Pytorch domain library for recommendation systems

TorchRec (Experimental Release) TorchRec is a PyTorch domain library built to provide common sparsity & parallelism primitives needed for large-scale

1.3k Jan 05, 2023

ToR[e]cSys is a PyTorch Framework to implement recommendation system algorithms

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

90 Oct 08, 2022

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

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

43 Nov 25, 2022

The official implementation of "DGCN: Diversified Recommendation with Graph Convolutional Networks" (WWW '21)

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

37 Dec 18, 2022

This is our Tensorflow implementation for "Graph-based Embedding Smoothing for Sequential Recommendation" (GES) (TKDE, 2021).

Graph-based Embedding Smoothing (GES) This is our Tensorflow implementation for the paper: Tianyu Zhu, Leilei Sun, and Guoqing Chen. "Graph-based Embe

15 Nov 29, 2022

A recommendation system for suggesting new books given similar books.

Related tags

Overview

Book Recommendation System

Datasets

Notebooks

Owner

Sam Partee

Price-aware Recommendation with Graph Convolutional Networks,

QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)

Code for MB-GMN, SIGIR 2021

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

Bert4rec for news Recommendation

Dual Graph Attention Networks for Deep Latent Representation of Multifaceted Social Effects in Recommender Systems

A library of metrics for evaluating recommender systems

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

Detecting Beneficial Feature Interactions for Recommender Systems, AAAI 2021

Pytorch domain library for recommendation systems

ToR[e]cSys is a PyTorch Framework to implement recommendation system algorithms

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

The official implementation of "DGCN: Diversified Recommendation with Graph Convolutional Networks" (WWW '21)

This is our Tensorflow implementation for "Graph-based Embedding Smoothing for Sequential Recommendation" (GES) (TKDE, 2021).

An Efficient and Effective Framework for Session-based Social Recommendation

This library intends to be a reference for recommendation engines in Python

A Library for Field-aware Factorization Machines

Temporal Meta-path Guided Explainable Recommendation (WSDM2021)

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

Reinforcement Knowledge Graph Reasoning for Explainable Recommendation