Movie Recommender System

Last update: Jul 14, 2022

Overview

Movie-Recommender-System

Movie-Recommender-System is a web application using which a user can select his/her watched movie from list and system will recommend 5 movies to watch according to user interest. For more information about project : Email: [email protected] Python | Streamlit Link: https://movie-recommender-prooject.herokuapp.com/

Owner

GitHub Repository

Collaborative variational bandwidth auto-encoder (VBAE) for recommender systems.

Collaborative Variational Bandwidth Auto-encoder The codes are associated with the following paper: Collaborative Variational Bandwidth Auto-encoder f

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The source code for "Global Context Enhanced Graph Neural Network for Session-based Recommendation".

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Movie Recommender System

Movie-Recommender-System Movie-Recommender-System is a web application using which a user can select his/her watched movie from list and system will r

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大规模推荐算法库，包含推荐系统经典及最新算法LR、Wide&Deep、DSSM、TDM、MIND、Word2Vec、DeepWalk、SSR、GRU4Rec、Youtube_dnn、NCF、GNN、FM、FFM、DeepFM、DCN、DIN、DIEN、DLRM、MMOE、PLE、ESMM、MAML、xDeepFM、DeepFEFM、NFM、AFM、RALM、Deep Crossing、PNN、BST、AutoInt、FGCNN、FLEN、ListWise等

(中文文档|简体中文|English) 什么是推荐系统? 推荐系统是在互联网信息爆炸式增长的时代背景下，帮助用户高效获得感兴趣信息的关键；推荐系统也是帮助产品最大限度吸引用户、留存用户、增加用户粘性、提高用户转化率的银弹。有无数优秀的产品依靠用户可感知的推荐系统建立了良好的口碑，也有无数的公司依

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Movie Recommender System

Related tags

Overview

Movie-Recommender-System

Owner

Collaborative variational bandwidth auto-encoder (VBAE) for recommender systems.

The source code for "Global Context Enhanced Graph Neural Network for Session-based Recommendation".

Movie Recommender System

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

A framework for large scale recommendation algorithms.

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

A tensorflow implementation of the RecoGCN model in a CIKM'19 paper, titled with "Relation-Aware Graph Convolutional Networks for Agent-Initiated Social E-Commerce Recommendation".

Self-supervised Graph Learning for Recommendation

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

6002project-rl - An implemention of offline RL on recommender system

Group-Buying Recommendation for Social E-Commerce

Spotify API Recommnder System

The implementation of the submitted paper "Deep Multi-Behaviors Graph Network for Voucher Redemption Rate Prediction" in SIGKDD 2021 Applied Data Science Track.

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

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

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

Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

Implementation of a hadoop based movie recommendation system

Temporal Meta-path Guided Explainable Recommendation (WSDM2021)