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49 search results found
Recommenders
⭐
17,972
Best Practices on Recommendation Systems
Deeprec
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1,068
An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
Recommendationraccoon
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690
A collaborative filtering based recommendation engine and NPM module built on top of Node.js and Redis. The engine uses the Jaccard coefficient to determine the similarity between users and k-nearest-neighbors to create recommendations. This module is useful for anyone with a database of users, a database of products/movies/items and the desire to give their users the ability to like/dislike and receive recommendations.
Goodbooks 10k
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576
Ten thousand books, six million ratings
Jstarcraft Rns
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368
专注于解决推荐领域与搜索领域的两个核心问题:排序预测(Ranking)和评分预测(Rating). 为相关领域的研发人员提供完整的通用设计与参考实现. 涵盖了70多种排序预测与评分预测算法,是最快最全的Java推荐与搜索引擎.
Caserecommender
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367
Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems
Movietweetings
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367
A Live Movie Rating Dataset Collected From Twitter
Recdb Postgresql
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262
RecDB is a recommendation engine built entirely inside PostgreSQL
Recommender
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249
A C library for product recommendations/suggestions using collaborative filtering (CF)
Recommenderlab
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207
recommenderlab - Lab for Developing and Testing Recommender Algorithms - R package
Movielens
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202
4 different recommendation engines for the MovieLens dataset.
Likely.js
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198
A javascript library for collaborative filtering and recommendation engines designed for node.js
Recommendationsystem
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190
Book recommender system using collaborative filtering based on Spark
P.808
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175
This is an open-source implementation of the ITU P.808 standard for "Subjective evaluation of speech quality with a crowdsourcing approach" (see https://www.itu.int/rec/T-REC-P.808/en). It uses Amazon Mechanical Turk as the crowdsourcing platform. It includes implementations for Absolute Category Rating (ACR), Degradation Category Rating (DCR), and Comparison Category Rating (CCR).
Bine
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169
BiNE: Bipartite Network Embedding
Recommender System Tutorial
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104
A step-by-step tutorial on developing a practical recommendation system (retrieval and ranking) using TensorFlow Recommenders and Keras.
Graph Networks
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101
A list of interesting graph neural networks (GNN) links with a primary interest in recommendations and tensorflow that is continually updated and refined
Pyreclab
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101
pyRecLab is a library for quickly testing and prototyping of traditional recommender system methods, such as User KNN, Item KNN and FunkSVD Collaborative Filtering. It is developed and maintained by Gabriel Sepúlveda and Vicente Domínguez, advised by Prof. Denis Parra, all of them in Computer Science Department at PUC Chile, IA Lab and SocVis Lab.
Go Apple Music
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99
A Go client library for accessing the Apple Music API.
Movie Recommender System
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86
Basic Movie Recommendation Web Application using user-item collaborative filtering.
Books2rec
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76
A recommender system built for book lovers.
Movies
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70
Second Springboard Capstone Project: A Movie Recommender
Scentmate_rec
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68
Built a fragrance recommender using multiple machine learning algorithms to help people find their perfect match. The final deliverable was a webapp.
Recommendmoteur
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57
电影推荐系统、电影推荐引擎、使用Spark完成的电影推荐引擎
Reclab
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54
Top K Rec
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54
A method collection for top-k recommendation
Movie Recommender Demo
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50
This project walks through how you can create recommendations using Apache Spark machine learning. There are a number of jupyter notebooks that you can run on IBM Data Science Experience, and there a live demo of a movie recommendation web application you can interact with. The demo also uses IBM Message Hub (kafka) to push application events to topic where they are consumed by a spark streaming job running on IBM BigInsights (hadoop).
Recommender System Datasets
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50
A list of compatible datasets, noting other major repositories containing popular real-world datasets, along with sample code for a range of recommendation tasks.
Jmars
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45
Jointly Modelling Aspects, Ratings and Sentiments for Movie Recommendation (JMARS)
Deep_ctr
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41
Carp
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36
The implementation of “A Capsule Network for Recommendation and Explaining What You Like and Dislike”, Chenliang Li, Cong Quan, Li Peng, Yunwei Qi, Yuming Deng, Libing Wu, https://dl.acm.org/citation.cfm?doid=3331184.33312
Beery
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36
Backend application for sharing beers information and rating them.
Movie
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34
Personalized real-time movie recommendation system
Recommend
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34
PHP library that can be used for recommendations to users
Bellkoralgorithm
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33
A Python implementation of the Bellkor Algorithm
Recommendationengine
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31
A 3-hour workshop for understanding deep learning recommendation systems.
Autorec
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30
Recsys Frontend
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27
An easy to set up recommender systems frontend for research, fun and science
Recommendation_papers
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24
paper collection for recommendation aspet
Movie_recommendation_engine
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23
This repository contains the code for building movie recommendation engine.
Predictionio Swift Sdk
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22
PredictionIO iOS / macOS SDK
Podcast Recommendation Engine
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19
🎤 Building a content-based podcast recommender system using NLP
Iterative Cf
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19
storm/trident based highly scalable recommendation engine
Recommender_test_bench
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17
Recommender system test bench
R8
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17
Laravel Package for Reviews and Ratings and Recommendations.
Beer Finderweb
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16
BeerMe
Guide To Data Mining
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16
iPython Notebook of the Guide to Data Mining
Recommenderdemo
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16
An Apache Mahout based recommendation engine demo for 5000 users, 45000 items and 1,000,000 transactions.
Videodrome
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15
Final project - Hackbright
Django Slopeone
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15
Rating predictions based on the Slope One algorithm
Knnbandit
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14
Software for the experiments reported in the RecSys 2019 paper "A Simple Multi-Armed Nearest-Neighbor Bandit for Interactive Recommendation"
Tutorial_msrs
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14
Tutorial for Multi-Stakeholder Recommender Systems
Gamamia
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14
Crowdsourced Game Reviews, Ratings and Recommendations
Netflix Recommender System
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13
ITCS 6190 : Cloud Computing for Data Analysis project. Movie Recommendation Engine for Netflix Data with custom functions implementation and library usage.
Movie Reco Using Rbm
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13
Movie Recommendation using Restricted Boltzmann Machine (RBM)
Caserecommender
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12
Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems
Jamendo Recommendation Sdk
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11
Jamendo Recommendation SDK
Restaurant Recommendations With Yelp
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11
🍕Recommend new restaurants to Yelp users, using ratings predicted from reviews.
Recommendation Engine
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11
A recommendation algorithm implemented with Biased Matrix Factorization method using tensorflow and tested over 1 million Movielens dataset with state-of-the-art validation RMSE around ~ 0.83
Smarttourister
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11
We have developed a fully AI/ML-based itinerary recommendation system which when used by people coming to visit any place would allow them to better optimize their cost/time. We have 3 developed 3 inputs that are Scraping Twitter, UI Form, and FB Chatbot
Recommendation Based On Sparkmllib
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10
❇️ 基于SparkMLLib实现的商品推荐功能,包括:基于用户的协同过滤,基于物品的协同过滤,基于ALS
Yelp Recommendation System
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10
Recommend Restaurants to User based on the ratings given by them to the restaurants
Instarecs
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10
A shortcut to powerful recommendations
Board Game Recommender
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10
Board game recommendation engine
Music Recommendations
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10
Yahoo Music Recommendation system based on several user ratings for albums and provide song recommendations to the users.
My Yelper
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10
Building a Hybrid Recommendation Engine: Content-based Filtering + Collaborative Filtering (Spark, PySpark, Apache Drill)
Case Study Ml Netflix Movie Recommendation System
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9
A Machine Learning Case Study for Recommendation System of movies based on collaborative filtering and content based filtering.
Movie Recommendation System
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9
Contains code which covers various methods for recommending movies, some of the methods include matrix factorisation , deep learning based recommendation systems
Recommendation Gym
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9
MovieLens recommendation system using reinforcement learning (GYM + PPO)
Movie Recommendation
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9
Java Programming And Software Engineering Fundamentals Java Programming Build A Recommendation Syst
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9
Fifth course of this series, the capstone project
It556_worthless_without_coffee_da Iict_final_project
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9
This is a book recommendation engine built using a hybrid model of Collaborative filtering, Content Based Filtering and Popularity Matrix.
Movie Recommendation Engine For Netflix And Movielens Datasets
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8
In Python and MySQL, An Item-based Colloborative filtering algorithm for movie rating prediction and recommendation
Csc322
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8
Game recommendation engine + online shop for CCNY Software Engineering course
Cold Start Recommender
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8
Recommendation Engine
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8
Recommendation engine and it's algorithms in python , R .
Contao Recommendation Bundle
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8
Recommendation integration for Contao 4 Open Source CMS
Podrex
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7
Podcast Recommender
Recommendation Tensorflow 2
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7
Tensorflow 2 implementation for some recommendation algorithms: FISM, NAIS with point-wise and pair-wise loss
Cocktailist
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7
Cocktail listing/rating app built in Rails & Backbone
Contao Testimonials Bundle
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7
Testimonial bundle to display customer testimonials on your contao cms website.
Buenosleidos
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7
Full stack portfolio project for App Academy!
Graphrfi
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6
Crossdomainrecommendersystem
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6
A cross domain recommendation system that utilizes movie lens data set.
Symfony Propel Slope One Recommendations Plugin
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6
Collaborative filtering for symfony based on Slope One algorithmns
Convrec
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6
A Conversational Recommendation Dialogue Dataset
Employee Churn Rates
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6
Deriving Recommendation via Visualizations from Employee Churn Data
Newsrecommender
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6
Geicochatbot
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6
GEICO Hacktivates Hackathon 2019 1st Place Winner
Netflix Movie Recommendation System
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6
A Machine Learning Case Study for Recommendation System of movies based on collaborative filtering and content based filtering.
Recommendation
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6
Python recommendation Engine. Django
Non Personalized Recommender
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6
A recommender system for movies using summary statistics
Movie Recommendation Engines
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6
Writing recommendation systems for movies, and performing data analysis on movie datasets to gain valuable insights.
Netflix Movie Recommendation System
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6
Mkr Recommendation
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6
Multi-task Learning for Knowledge Graph Enhanced Recommendation
Java Programming Build A Recommendation System
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6
Optimizing Conversion Rates
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5
Using machine learning to increase website conversion rates
Book Crossing Data Cleansing For Recommendations
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5
BookCrossing data cleansing and book Recommendations
React Native Recommendation
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5
A Rating and recommendation components package for react native
Raijin
⭐
5
Movie Recommendation Engine using PySpark
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