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
News-Recommendation-system-using-Bert4Rec-model Bert4rec for news Recommendation
Included Conferences: SIGIR 2020, SIGKDD 2020, RecSys 2020, CIKM 2020, AAAI 2021, WSDM 2021, WWW 2021
This project will access your last listened songs on Spotify using its API, then it will request the user to select 5 favorite songs in that list, on which the API will proceed to make 50 recommendation of songs similar to them.
Explainable Mutual Fund Recommendation Data Please see 'DATA_DESCRIPTION.md' for mode detail. Recommender System Methods Baseline Collabarative Fiilte
An implemention of offline RL on recommender system @author: misajie @update: 20
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. QRec has a lightweight architecture and provides user-friendly interfaces. It can facilitate model implementation and evaluation.
recommendationsystem matrixfactorization colloborative filtering recommendation
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
Product-based-recommendation-system A product based recommendation system which
hang-movie-man Hangman but for movies 😉 This is a fun hangman style game to guess random movie names from the local database and show some summary ab
Demo run: The below video will highlight the runtime of this setup and some sample real-time conversations using the power of RASA + TigerGraph, Steps
Luigi is a Python (3.6, 3.7 tested) package that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow managemen
mrjob: the Python MapReduce library mrjob is a Python 2.7/3.4+ package that helps you write and run Hadoop Streaming jobs. Stable version (v0.7.4) doc
eXtreme Gradient Boosting Community | Documentation | Resources | Contributors | Release Notes XGBoost is an optimized distributed gradient boosting l
eXtreme Gradient Boosting Community | Documentation | Resources | Contributors | Release Notes XGBoost is an optimized distributed gradient boosting l
eXtreme Gradient Boosting Community | Documentation | Resources | Contributors | Release Notes XGBoost is an optimized distributed gradient boosting l
Vuln Impact On November 15, 2021, A security researcher disclosed that there was an unauthorized access vulnerability in Hadoop yarn RPC. This vulnera
Vuln Impact There was an unauthorized access vulnerability in Hadoop yarn ResourceManager. This vulnerability existed in Hadoop yarn, the core compone
Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
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
plex-recommender Description: Get movie/tv recommendations based on your current
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 Embedding. The project objective is to develop a ecosystem to experiment, share, reproduce, and deploy in real world in a smooth and easy way (Hope it can be done).
recommendersystem Recommendation System to recommend top books from the dataset Introduction The recom.py is the main program code. The dataset is als
LightFM Build status Linux OSX (OpenMP disabled) Windows (OpenMP disabled) LightFM is a Python implementation of a number of popular recommendation al
TensorRec A TensorFlow recommendation algorithm and framework in Python. NOTE: TensorRec is not under active development TensorRec will not be receivi
Persine, the Persona Engine Persine is an automated tool to study and reverse-engineer algorithmic recommendation systems. It has a simple interface a
A framework for large scale recommendation algorithms.
Books-Recommendation Business Problem During the last few decades, with the rise