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

Last update: Feb 15, 2022

Overview

Machine-Learning-Recommendation-System

Recommender systems are the systems that are designed to recommend things to the user based on many different factors. The recommender system deals with a large volume of information present by filtering the most important information based on the data provided by a user and other factors that take care of the user’s preference and interest.

Why the Recommendation system?

Benefits users in finding items of their interest.
Help item providers in delivering their items to the right user.
Identity products that are most relevant to users.
Personalized content.
Help websites to improve user engagement.

What can be Recommended?

There are many different things that can be recommended by the system like movies, books, news, articles, jobs, advertisements, etc. Netflix uses a recommender system to recommend movies & web-series to its users. Similarly, YouTube recommends different videos. There are many examples of recommender systems that are widely used today.

Mutual Fund Recommender System. Tailor for fund transactions.

Explainable Mutual Fund Recommendation Data Please see 'DATA_DESCRIPTION.md' for mode detail. Recommender System Methods Baseline Collabarative Fiilte

2 May 19, 2022

Movies/TV Recommender

recommender Movies/TV Recommender. Recommends Movies, TV Shows, Actors, Directors, Writers. Setup Create file API_KEY and paste your TMDB API key in i

3 Apr 22, 2022

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

An implemention of offline RL on recommender system @author: misajie @update: 20

3 May 24, 2022

Persine is an automated tool to study and reverse-engineer algorithmic recommendation systems.

Persine, the Persona Engine Persine is an automated tool to study and reverse-engineer algorithmic recommendation systems. It has a simple interface a

87 Nov 29, 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 2, 2022

A Python 3.6+ package to run .many files, where many programs written in many languages may exist in one file.

6 May 22, 2022

NVIDIA Merlin is an open source library designed to accelerate recommender systems on NVIDIA’s GPUs.

NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature engineering and preprocessing to training deep learning models and running inference in production.

420 Jan 4, 2023

A bot for PDF for doing Many Things....

Telegram PDF Bot A Telegram bot that can: Compress, crop, decrypt, encrypt, merge, preview, rename, rotate, scale and split PDF files Compare text dif

60 Dec 27, 2022

Performance analysis of predictive (alpha) stock factors

Alphalens Alphalens is a Python Library for performance analysis of predictive (alpha) stock factors. Alphalens works great with the Zipline open sour

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Performance analysis of predictive (alpha) stock factors

Alphalens Alphalens is a Python Library for performance analysis of predictive (alpha) stock factors. Alphalens works great with the Zipline open sour

2.5k Dec 28, 2022

DeepSTD: Mining Spatio-temporal Disturbances of Multiple Context Factors for Citywide Traffic Flow Prediction

DeepSTD: Mining Spatio-temporal Disturbances of Multiple Context Factors for Citywide Traffic Flow Prediction This is the implementation of DeepSTD in

5 Sep 26, 2022

Driver Analysis with Factors and Forests: An Automated Data Science Tool using Python

Driver Analysis with Factors and Forests: An Automated Data Science Tool using Python 📊

2 May 26, 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. QRec has a lightweight architecture and provides user-friendly interfaces. It can facilitate model implementation and evaluation.

1.4k Dec 27, 2022

This repository is for active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public developer docs at https://docs.microsoft.com/en-us/python/azure/ or our versioned developer docs at https://azure.github.io/azure-sdk-for-python.

Azure SDK for Python This repository is for active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public

3.4k Jan 3, 2023

This repository is for active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public developer docs at https://docs.microsoft.com/en-us/python/azure/ or our versioned developer docs at https://azure.github.io/azure-sdk-for-python.

Azure SDK for Python This repository is for active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public

3.4k Jan 2, 2023

FinGAT: A Financial Graph Attention Networkto Recommend Top-K Profitable Stocks

arxiv-sanity, but very lite, simply providing the core value proposition of the ability to tag arxiv papers of interest and have the program recommend similar papers.

671 Dec 31, 2022

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

Related tags

Overview

Machine-Learning-Recommendation-System

Why the Recommendation system?

What can be Recommended?

You might also like...

Mutual Fund Recommender System. Tailor for fund transactions.

Movies/TV Recommender

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

Persine is an automated tool to study and reverse-engineer algorithmic recommendation systems.

Implementation of a hadoop based movie recommendation system

A Python 3.6+ package to run .many files, where many programs written in many languages may exist in one file.

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

This repository is for active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public developer docs at https://docs.microsoft.com/en-us/python/azure/ or our versioned developer docs at https://azure.github.io/azure-sdk-for-python.

This repository is for active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public developer docs at https://docs.microsoft.com/en-us/python/azure/ or our versioned developer docs at https://azure.github.io/azure-sdk-for-python.

FinGAT: A Financial Graph Attention Networkto Recommend Top-K Profitable Stocks

[CVPR'21] Learning to Recommend Frame for Interactive Video Object Segmentation in the Wild

music recommend chat bot

arxiv-sanity, but very lite, simply providing the core value proposition of the ability to tag arxiv papers of interest and have the program recommend similar papers.

Owner

Happy N. Monday

Recommendation System to recommend top books from the dataset

A Python scikit for building and analyzing recommender systems

Graph Neural Networks for Recommender Systems

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

Plex-recommender - Get movie recommendations based on your current PleX library

Deep recommender models using PyTorch.

Recommender System Papers

RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems

E-Commerce recommender demo with real-time data and a graph database

Movie Recommender System