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 python 3.+ vscode MySQL 8.0 
Implementation of a hadoop based movie recommendation system
Overview
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
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RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems
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Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
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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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Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer
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An open source movie recommendation WebApp build by movie buffs and mathematicians that uses cosine similarity on the backend.
Movie Pundit Find your next flick by asking the (almost) all-knowing Movie Pundit Jump to Project Source » View Demo · Report Bug · Request Feature Ta
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This is our implementation of GHCF: Graph Heterogeneous Collaborative Filtering (AAAI 2021)
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Jointly Learning Explainable Rules for Recommendation with Knowledge Graph
Jointly Learning Explainable Rules for Recommendation with Knowledge Graph
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It is a movie recommender web application which is developed using the Python.
Movie Recommendation 🍿 System Watch Tutorial for this project Source IMDB Movie 5000 Dataset Inspired from this original repository. Features Simple
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Code for MB-GMN, SIGIR 2021
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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
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Graph Neural Network based Social Recommendation Model. SIGIR2019.
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Use Jupyter Notebooks to demonstrate how to build a Recommender with Apache Spark & Elasticsearch
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Graph Neural Networks for Recommender Systems
This repository contains code to train and test GNN models for recommendation, mainly using the Deep Graph Library (DGL).
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Global Context Enhanced Social Recommendation with Hierarchical Graph Neural Networks
SR-HGNN ICDM-2020 《Global Context Enhanced Social Recommendation with Hierarchical Graph Neural Networks》 Environments python 3.8 pytorch-1.6 DGL 0.5.
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Bert4rec for news Recommendation
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Spark-movie-lens - An on-line movie recommender using Spark, Python Flask, and the MovieLens dataset
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Respiratory Health Recommendation System
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Handling Information Loss of Graph Neural Networks for Session-based Recommendation
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