Topic: "collaborative-filtering"
iemre/MRSR
MRSR - Matlab Recommender Systems Research is a software framework for evaluating collaborative filtering recommender systems in Matlab.
Language: MATLAB - Size: 104 KB - Last synced at: 12 months ago - Pushed at: almost 6 years ago - Stars: 14 - Forks: 13

datatheque/datatheque.com
a data science blog
Language: HTML - Size: 16.6 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 13 - Forks: 13

TsingH-googl/RNR_framework_for_Recommendation
The detialed codes written in Matlab R2015b version in paper "RNR: A Generic Bayesian-based Framework for Enhancing Top-N Recommender Systems "
Language: MATLAB - Size: 10.1 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 13 - Forks: 9

archd3sai/News-Articles-Recommendation
Objective of the project is to build a hybrid-filtering personalized news articles recommendation system which can suggest articles from popular news service providers based on reading history of twitter users who share similar interests (Collaborative filtering) and content similarity of the article and user’s tweets (Content-based filtering).
Language: Jupyter Notebook - Size: 2.88 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 13 - Forks: 9

amitkumarusc/recommendation-system
A movie recommendation system trained on the MovieLens 20 Million dataset. This system makes use of Collaborative filtering methods to come up with recommendations for a particular user.
Language: Jupyter Notebook - Size: 21.8 MB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 13 - Forks: 3

thegenuinegourav/Movies-Recommender
A system to recommend movies according to ratings provided by users using Collaborative Filtering Learning Algorithm.
Language: Matlab - Size: 672 KB - Last synced at: about 1 year ago - Pushed at: over 6 years ago - Stars: 13 - Forks: 4

yangjici/personality_based_music_recommender
I made a hybrid artist recommender based on user's personality and ratings using collaborative filtering
Language: Python - Size: 1.73 MB - Last synced at: about 2 years ago - Pushed at: almost 8 years ago - Stars: 13 - Forks: 3

D-Andreev/recommender-addon
A node addon for recommendations
Language: C++ - Size: 108 KB - Last synced at: 11 days ago - Pushed at: almost 8 years ago - Stars: 13 - Forks: 2

songwo-153/Springboot-Smart-Teaching-Recommendation-system
基于Springboot的智慧教学平台的系统设计与实现(智慧教学推荐系统),可以进行学习分析和个性化推荐,系统可以根据学生的学习行为和表现进行分析,生成学习分析报告。根据学生的学习情况和需求,系统可以提供个性化的学习推荐和建议,推荐适合的课程和教学资源推荐(根据用户点击量或浏览量推荐)。
Size: 9.13 MB - Last synced at: 21 days ago - Pushed at: 5 months ago - Stars: 12 - Forks: 0

psm1206/MAWU
[CIKM'23] "Toward a Better Understanding of Loss Functions for Collaborative Filtering"
Language: Python - Size: 139 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 12 - Forks: 0

HKUDS/DGNN
[ICDE'23] "DGNN: Disentangled Graph Social Recommendation"
Language: Python - Size: 75.8 MB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 12 - Forks: 1

edervishaj/GANMF
This is the repository for our paper "GAN-based Matrix Factorization for Recommender Systems" accepted at ACM/SIGAPP Symposium on Applied Computing (SAC '22).
Language: Python - Size: 784 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 12 - Forks: 6

vaibhavmagon/Kafka-Spark-Product-Recommendation
Python script demonstrating spark streaming and Kafka implementation using an e-commerce website like product recommendation engine based on item-based collaborative filtering. 🐍. 💥
Language: Python - Size: 9.98 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 12 - Forks: 7

MohamedFawzy/recommendation-engine
Recommendation engine and it's algorithms in python , R .
Language: Jupyter Notebook - Size: 8.21 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 12 - Forks: 4

SaadatRizvi/Movie-Recommendation-System
Implemented Content-based filtering, Collaborative filtering and K-Means Clustering on MovieLens Dataset(https://www.kaggle.com/rounakbanik/the-movies-dataset/data)
Language: Python - Size: 1.65 MB - Last synced at: about 2 years ago - Pushed at: almost 7 years ago - Stars: 12 - Forks: 7

chen0040/mxnet-recommender
Collaborative Filtering NN and CNN based recommender implemented with MXNet
Language: Python - Size: 120 MB - Last synced at: 25 days ago - Pushed at: about 7 years ago - Stars: 12 - Forks: 1

makgyver/pyros
[PY]thon [R]ec[O]mmender [S]ystems library
Language: Python - Size: 55.4 MB - Last synced at: 8 days ago - Pushed at: over 7 years ago - Stars: 12 - Forks: 6

ThanhChinhBK/RBM_CF
Restricted Boltzmann Machines for Collaborative Filtering in Tensorflow
Language: Python - Size: 5.86 KB - Last synced at: about 2 years ago - Pushed at: almost 8 years ago - Stars: 12 - Forks: 10

arvidzt/Collaborative-Filtering-Movie-Recommendation
协同过滤算法
Language: Python - Size: 764 KB - Last synced at: over 1 year ago - Pushed at: almost 8 years ago - Stars: 12 - Forks: 4

nnimish19/hybrid-recommender-system
uses collaborative and content based filtering techniques
Language: Python - Size: 8.79 KB - Last synced at: over 1 year ago - Pushed at: over 8 years ago - Stars: 12 - Forks: 8

popolee0513/Data-Science-Skills-Practice
Language: Jupyter Notebook - Size: 284 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 11 - Forks: 6

kdevo/chaos-rrs
Chaos - a first of its kind framework for researching Reciprocal Recommender Systems (RRS).
Language: Python - Size: 1.79 MB - Last synced at: 12 months ago - Pushed at: over 3 years ago - Stars: 11 - Forks: 1

qcpolimi/CQFS
This is the repository of our article published on MDPI Entropy "Feature Selection for Recommender Systems with Quantum Computing".
Language: Python - Size: 229 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 11 - Forks: 2

Divyanshu169/IT556_Worthless_without_coffee_DA-IICT_Final_Project
This is a book recommendation engine built using a hybrid model of Collaborative filtering, Content Based Filtering and Popularity Matrix.
Language: Python - Size: 675 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 11 - Forks: 8

prakruti-joshi/Movie-Recommendation-System
Designed a movie recommendation system using content-based, collaborative filtering based, SVD and popularity based approach.
Language: Jupyter Notebook - Size: 5.02 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 11 - Forks: 13

Anustup900/Automated-Malware-Analysis
Machine Learning Model to detect hidden malwares and phase changing malwares.It predicts the date of the next probable attack of the malware and its extent.It deals with the change in network traffic flow.It is developed in Python in Jupyter notebook.
Language: Python - Size: 3.95 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 11 - Forks: 0

MaurizioFD/CFeCBF
This repository contains the core model we called "Collaborative filtering enhanced Content-based Filtering" published in our UMUAI article "Movie Genome: Alleviating New Item Cold Start in Movie Recommendation"
Language: Python - Size: 2.65 MB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 11 - Forks: 5

geon0325/LightGCNpp
Source code for the RecSys 2024 paper "Revisiting LightGCN: Unexpected Inflexibility, Inconsistency, and A Remedy Towards Improved Recommendation."
Language: Python - Size: 71.2 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 10 - Forks: 4

karapostK/hassaku
Hassaku is a(nother) research-oriented Recommender System Framework written mostly in Python and leveraging PyTorch. Hassaku hosts the main procedure for data processing, training, testing, hyperparameter optimization, metrics computation, and logging for several Collaborative Filtering-based Recommender Systems.
Language: Python - Size: 2.62 MB - Last synced at: 20 days ago - Pushed at: 6 months ago - Stars: 10 - Forks: 0

cosanlab/neighbors
A package to perform collaborative filtering on emotion datasets.
Language: Python - Size: 6.13 MB - Last synced at: 3 days ago - Pushed at: over 1 year ago - Stars: 10 - Forks: 9

ContentWise/contentwise-impressions
This repository contains the code used to run generate the data splits, run the hyperparameter tunings, and export the results presented in our article "ContentWise Impressions: An industrial dataset with impressions included"
Language: Python - Size: 3.22 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 10 - Forks: 2

shikhar-srivastava/Recommender-System
SQL-based Recommendation System for multi-topic recommendations
Language: HTML - Size: 19.6 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 10 - Forks: 2

loomlike/reco-ensemble
Recommendation model ensemble
Language: Jupyter Notebook - Size: 199 KB - Last synced at: 18 days ago - Pushed at: over 6 years ago - Stars: 10 - Forks: 2

shik3519/collaborative-filtering
Implementation of collaborative filtering using fastai and pytorch
Language: HTML - Size: 55.3 MB - Last synced at: about 1 year ago - Pushed at: almost 7 years ago - Stars: 10 - Forks: 11

reachsumit/MSCA-31005-database-class-project
The aim of our team was to use data from meetup.com to build a recommender system which will identify and suggest groups and activities to a member based on their interest and additional interests of similar members. Furthermore, a social network analysis was done to identify the relationship between groups and people.
Language: Jupyter Notebook - Size: 580 KB - Last synced at: 19 days ago - Pushed at: over 7 years ago - Stars: 10 - Forks: 9

apropos13/Yelp-Recommendation-System
Machine Learning, SVD algorithm, Python
Language: TeX - Size: 4 MB - Last synced at: almost 2 years ago - Pushed at: over 8 years ago - Stars: 10 - Forks: 1

HKUDS/RCL
[Recsys'2023] "RCL: Multi-Relational Contrastive Learning for Recommendation"
Language: Python - Size: 26.4 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 9 - Forks: 0

ulyazmah/book-recommendation
An end-to-end data science project involving exploratory data analysis, machine learning modeling and web app deployment of book recommendation system.
Language: Jupyter Notebook - Size: 32.2 MB - Last synced at: 8 months ago - Pushed at: over 2 years ago - Stars: 9 - Forks: 6

changhyeonnam/NCF
Neural Collaborative Filtering with MovieLens in pytorch
Language: Python - Size: 182 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 9 - Forks: 1

cchao0116/SGMC-AAAI21
Code for AAAI21 paper "Scalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning"
Language: Python - Size: 8.79 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 9 - Forks: 3

Tsmith5151/recommendation-systems
Python toolbox to quickly implement Recommender Systems for implicit and explicit data.
Language: Python - Size: 19.4 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 9 - Forks: 2

edervishaj/gan-mf-thesis
This is the repository for the Master of Science thesis titled "GAN-based Matrix Factorization for Recommender Systems".
Language: Python - Size: 85 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 9 - Forks: 4

AlexGidiotis/keras-CF-NADE
keras implementation of Neural Autoregressive Distribution Estimator for Collaborative Filtering
Language: Python - Size: 23.4 KB - Last synced at: about 1 year ago - Pushed at: almost 5 years ago - Stars: 9 - Forks: 4

jowoojun/collaborative_filtering_keras
Collaborative filtering for Recommendation in Keras
Language: Jupyter Notebook - Size: 22.8 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 9 - Forks: 1

doganoo/RecommendationAssistant 📦
Design and Implementation of a File Recommendation System Using Collaborative Filtering and Content-Based Recommendation for the Nextcloud Platform
Language: PHP - Size: 19.2 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 9 - Forks: 1

twolodzko/tfmf
Collaborative Filtering Using Matrix Factorization in TensorFlow
Language: Python - Size: 28.3 KB - Last synced at: 26 days ago - Pushed at: over 6 years ago - Stars: 9 - Forks: 5

nanxstats/MEF
Datasets and source code for reproducing the paper 'Integrating multiple evidence sources to predict adverse drug reactions based on systems pharmacology model'.
Language: R - Size: 40.6 MB - Last synced at: 6 days ago - Pushed at: over 7 years ago - Stars: 9 - Forks: 3

rajaharsha/Amazon-Product-Recommendation-CF-ALS-Spark
We have chosen Amazon product sales data set comprising of sales activity and user ratings for each product. The idea is to create a product suggestion/recommendation system for each user based on his previous purchases and his rating for each one. A Collaborative Filtering model is built to predict the virtual ratings for the product that the user did not purchase. The system predicts the user rating for all the items and we display the products which user may be like, buy and rate higher.
Language: Python - Size: 6.79 MB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 9 - Forks: 10

marlin-codes/HRCF
PyTorch Implementation for "HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization(WWW2022)"
Language: Python - Size: 9.37 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 8 - Forks: 0

sisinflab/Top-N-Recommendation-Algorithms-A-Quest-for-the-State-of-the-Art
This is the official repository of the paper Top-N Recommendation Algorithms: A Quest for the State of the Art
Language: Python - Size: 52.8 MB - Last synced at: about 1 year ago - Pushed at: about 3 years ago - Stars: 8 - Forks: 3

lisiqi/thesis-recommenders
Code of my master thesis "Implicit Feedback Based Context-Aware Recommender For Music Light System"
Language: Jupyter Notebook - Size: 3.19 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 8 - Forks: 0

pprattis/Recommendation-System-for-Android-Java-App-that-finds-an-ideal-destination-with-the-kNN-Algorithm
This project is an Android mobile application, written in Java programming language and implements a Recommender System using the k-Nearest Neighbors Algorithm. In this way the algorithm predicts the possible ratings of the users according to scores that have already been submitted to the system.
Language: Java - Size: 122 KB - Last synced at: 17 days ago - Pushed at: over 4 years ago - Stars: 8 - Forks: 3

max0ne/twinkeydow
it recommends github repos
Language: Jupyter Notebook - Size: 13.2 MB - Last synced at: 17 days ago - Pushed at: almost 6 years ago - Stars: 8 - Forks: 0

lucashu1/CDN-RecSys
A hybrid recommender system for suggesting CDN (content delivery network) providers to various websites
Language: Jupyter Notebook - Size: 5.14 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 8 - Forks: 3

chanddu/Movie-Recommender-System
Recommender System (Java, Apache Spark)
Language: Java - Size: 5.86 KB - Last synced at: about 1 year ago - Pushed at: almost 7 years ago - Stars: 8 - Forks: 3

stephanieyshi/steam-recommendations
Recommending games to Steam users 🎮
Language: Python - Size: 388 MB - Last synced at: about 1 year ago - Pushed at: about 7 years ago - Stars: 8 - Forks: 2

jmyrberg/kaggle-santander-product-recommendation
Code used in Kaggle's Santander Product Recommendation competition.
Language: Python - Size: 30.3 KB - Last synced at: about 2 years ago - Pushed at: over 8 years ago - Stars: 8 - Forks: 4

owj0421/recsys_basics
Implementation of Basic Recommendation System Models with PyTorch
Language: Python - Size: 78.1 KB - Last synced at: 1 day ago - Pushed at: over 1 year ago - Stars: 7 - Forks: 0

JoonyoungYi/MCCO-numpy
Exact Matrix Completion via Convex Optimization
Language: Python - Size: 12.7 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 7 - Forks: 4

BroadRS/BroadCF
BroadCF (Broad Collaborative Filtering) is one of the BroadRS algorithms, a series of recommendation algorithms based on broad learning system (BLS). It is developed by BroadRS Research Team formed by SCAU, SYSU and SCUT.
Language: Python - Size: 7.65 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 7 - Forks: 3

BeautifulBeer/Youflix
Movie recommendation system based on hybrid recommender and clustering
Language: Vue - Size: 82.6 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 4

gabrycina/spotify-clone
A fully functional Spotify clone! 🎧
Language: JavaScript - Size: 14.4 MB - Last synced at: 5 months ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 2

ilias-ant/recommender-systems
Implementing various Recommender Systems.
Language: Jupyter Notebook - Size: 6.82 MB - Last synced at: 3 days ago - Pushed at: about 3 years ago - Stars: 7 - Forks: 0

easonlai/online_retail_product_recommendation_samples
This is a code sample repository for online retail product recommendations using Collaborative Filtering (Memory-Based, aka History-Based). The source data used the famous Online Retail Data Set from UCI Machine Learning Repository.
Language: Jupyter Notebook - Size: 26.4 MB - Last synced at: 3 days ago - Pushed at: about 3 years ago - Stars: 7 - Forks: 2

XiuzeZhou/deeprank
DeepRank: Learning to Rank with Neural Networks for Recommendation
Language: Python - Size: 44.1 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 7 - Forks: 3

radioactive11/amethyst
A low-code recommendation engine generation tool
Language: Python - Size: 21.9 MB - Last synced at: 4 days ago - Pushed at: over 3 years ago - Stars: 7 - Forks: 0

divyansha1115/Movie-recommendation
Movie Recommendation using Matrix Factorisation, User based collaborative and Item based collaborative filtering
Language: JavaScript - Size: 4.33 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 7 - Forks: 2

Elmar999/Recommendation-systems
Content and collaborative filtering for User-Movie recommendation system.
Language: Jupyter Notebook - Size: 1.04 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 7 - Forks: 0

AninditaGuha98/Spotify-Recommendation-System
Implemented and compared different recommendation systems for Spotify playlists for both artists and types of songs. Implemented popularity-based recommenders, content-based recommenders, and used the KNN algorithm for implementing collaborative filtering.
Language: Jupyter Notebook - Size: 31.9 MB - Last synced at: 26 days ago - Pushed at: over 4 years ago - Stars: 7 - Forks: 1

ChengChen-Steven/Movie_Recommender_System_Scala
Build a movie recommender system using Collaborative Filtering by leveraging Spark in Scala
Language: Scala - Size: 721 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 7 - Forks: 1

OmarZaghlol/GoodBooks-Recommender
Build a Book Recommendation System using Goodreads data (10k books)
Language: Jupyter Notebook - Size: 16.6 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 7 - Forks: 1

tnakae/admm_slim
ADMM SLIM implementation
Language: Jupyter Notebook - Size: 6.84 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 7 - Forks: 2

shaghayeghjalali96/movie-recommender-system
deep learning project
Language: Jupyter Notebook - Size: 206 KB - Last synced at: almost 2 years ago - Pushed at: almost 6 years ago - Stars: 7 - Forks: 4

wuke1993/MyRecommender
基于隐式反馈的系统过滤推荐 & 基于图谱关联的课程视频子图推荐
Language: Java - Size: 1.46 MB - Last synced at: 8 months ago - Pushed at: almost 7 years ago - Stars: 7 - Forks: 0

mishrasonu03/JobRecSys
ACM RecSys Challenge 2016: Job recommender system for XING
Language: Python - Size: 1.1 MB - Last synced at: about 2 years ago - Pushed at: about 8 years ago - Stars: 7 - Forks: 7

santteegt/ucl-irdm-collaborative-filtering
Collaborative filtering project
Language: Python - Size: 160 MB - Last synced at: 28 days ago - Pushed at: about 9 years ago - Stars: 7 - Forks: 5

Melanee-Melanee/Recommender-Systems
This repo includes all my recommendation models
Language: Jupyter Notebook - Size: 1.09 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 6 - Forks: 0

shahriar-rahman/A-Comparative-Analysis-of-Amazon-Book-Ratings-using-Collaborative-Filtering
Juxtaposing different Recommender Algorithms by utilizing the concept of Collaborative Filtering to analyze the Amazon Book Ratings.
Language: Jupyter Notebook - Size: 48.9 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 6 - Forks: 1

marlin-codes/HICF
PyTorch Implementation for "Hyperbolic Informative Collaborative Filtering(KDD2022)"
Language: Python - Size: 19.9 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 6 - Forks: 1

sefaoduncuoglu/book-recommendation-service
Book Recommendation Service
Language: Java - Size: 181 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 6 - Forks: 2

gionanide/OpiRec
Opinion recommendation is a task, recently introduced, for consistently generating a text review and a rating score that a certain user would give to a certain product, which has never seen before. Input information driving recommendation is text reviews and ratings for this product contributed by other users and text reviews submitted by the user under consideration for other products. The aforementioned task faces the same problems emerging in text generation using neural networks, namely repetition and specificity. In this paper, it is experi- mentally demonstrated that by employing coverage loss during training, repetition is reduced without adding extra parameters. Furthermore, the amount of repetition in the generated text review is defined as a measure of the captured information. Such measure is used to improve rating score prediction significantly during testing.
Language: Python - Size: 5.74 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 6 - Forks: 0

shag527/Movy-Matchism
A Movie recommendation System
Language: Python - Size: 70.8 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 0

vatsalsaglani/bert4rec
Language: Jupyter Notebook - Size: 2.02 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 1

minatosato/cymf
Cython implementation of matrix-factorization based algorithms
Language: Python - Size: 1.2 MB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 6 - Forks: 0

adrixo/cf-group-recommender-system
A group recommender system based on collaborative filtering
Language: Python - Size: 4.47 MB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 6 - Forks: 0

dheeraj9599/Movie-Recommender-System
I made a Movie recommendation Engine using Content Based Filtering, Collaborative filtering. In content Based Filtering I done Preprocessing of data, used Average-weighted-rating technique, Statistical Approach, Vectorization, Cosine Similarity. While in Collaborative I done some Preprocessing of data, Make Pivot table, Vectorization, Correlation Scores, SVD and KNN Algorithms.
Language: Jupyter Notebook - Size: 26.3 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 6 - Forks: 0

recohut/coldstart-recsys
Proving Recommendations in case of Cold-start situations
Language: Python - Size: 94.8 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 6 - Forks: 0

pyy0715/vae-cf-pyorch
Pytorch version of 'Variational AutoEncoder For Collaborative Filtering'
Language: Python - Size: 169 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 6 - Forks: 1

ashwinpn/Movie-Recommendation-Engines
Writing recommendation systems for movies, and performing data analysis on movie datasets to gain valuable insights.
Language: Jupyter Notebook - Size: 2.19 MB - Last synced at: 16 days ago - Pushed at: about 4 years ago - Stars: 6 - Forks: 2

shah314/BPR
Bayesian Personalized Ranking in Python
Language: Python - Size: 843 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 6 - Forks: 4

bumblebee26/TheSocialComment-Challenge
Posts/Feeds recommendation engine based on content based and collaborative filtering methods
Language: Jupyter Notebook - Size: 211 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 6 - Forks: 1

rtimbro185/syr_mads_mar653_marketing_analytics
Syracuse University, Masters of Applied Data Science - MAR 653 Marketing Analytics
Language: HTML - Size: 50.8 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 6 - Forks: 2

mkucz95/recommendation_engine
Recommendation System with IBM Watson
Language: HTML - Size: 4.32 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 6 - Forks: 9

georgosgeorgos/data-mining
Some Data Mining topics
Language: Python - Size: 11.6 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 6 - Forks: 1

devendrakushwah/recommendation-system-for-inter-related-content
Recommendation system for inter-related content. Uses natural language processing and collaborative filtering. Provides recommendations for books, movies, tvshows
Language: HTML - Size: 2.64 MB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 6 - Forks: 4

rbr7/CF-movie_recommendation_system
A Movie - recommendation system built using @ MovieLens 100K Dataset , based on collaborative filtering & SVD.
Language: Jupyter Notebook - Size: 553 KB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 6 - Forks: 3

Intelligent-Systems-Group/jpl-framework
Java framework for Preference Learning
Language: Java - Size: 9.6 MB - Last synced at: 12 months ago - Pushed at: about 7 years ago - Stars: 6 - Forks: 2

RiccardoAncarani/python_recommender_system
A simple user-based collaborative filtering recommender system, built with Python and Flask
Language: Python - Size: 25.4 KB - Last synced at: about 1 month ago - Pushed at: about 8 years ago - Stars: 6 - Forks: 1

mlaprise/mfrec
Recommender System toolkit
Language: C - Size: 711 KB - Last synced at: about 2 years ago - Pushed at: over 10 years ago - Stars: 6 - Forks: 5

Joinn99/FPSR
[WWW '23] The official implmentation of our paper "Fine-tuning Partition-aware Item Similarities for Efficient and Scalable Recommendation"
Language: Jupyter Notebook - Size: 13.3 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 5 - Forks: 0
