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161 search results found

Datatheque.com ⭐ 13

a data science blog

Collaborative_filtering ⭐ 12

Recommendation system for music.

[CIKM'23] "Toward a Better Understanding of Loss Functions for Collaborative Filtering"

Recommender System ⭐ 12

Agritech ⭐ 12

Recommendation system for farmers based on soil type, location, season etc.

Data Science Skills Practice ⭐ 11

Recommendation Engine ⭐ 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

Restaurant Recommendations With Yelp ⭐ 11

🍕Recommend new restaurants to Yelp users, using ratings predicted from reviews.

Efficientcof ⭐ 11

A new efficient subspace and K-Means clustering based method to improve Collaborative Filtering

Neural Recommender ⭐ 11

Neural recommender system implementation in TensorFlow.

Cleverrec ⭐ 11

CleverRec: An Open-source Toolkit for Recommendation System.

User Based Collaborative Filtering ⭐ 11

User-based Collaborative Filtering in Python

Federated Recommendation Neural Collaborative Filtering ⭐ 10

Federated Neural Collaborative Filtering (FedNCF). Neural Collaborative Filtering utilizes the flexibility, complexity, and non-linearity of Neural Network to build a recommender system. Aim to federate this recommendation system.

LT-OCF: Learnable-Time ODE-based Collaborative Filtering, CIKM'21

Mcam Numpy ⭐ 9

Low-rank Matrix Completion using Alternating Minimization

It556_worthless_without_coffee_da Iict_final_project ⭐ 9

This is a book recommendation engine built using a hybrid model of Collaborative filtering, Content Based Filtering and Popularity Matrix.

Amazon Product Recommendation Cf Als Spark ⭐ 9

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.

Academicrecommendation_dlut ⭐ 9

面向大连理工大学学者，基于大连理工大学机构知识库，推荐潜在主题词，优化科研方向，促进跨学部、学科、领

Recommendersystem ⭐ 9

A network TV program recommendation system implemented by python is mainly based on the post-fusion of user collaborative filtering and content-based recommendation algorithms.

Recommender System ⭐ 9

Anime recommender system using collaborative filtering and latent factor model

Movie_recommender ⭐ 9

Movie Recommender System with Django.

Contentwise Impressions ⭐ 9

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"

Recommendation Engine ⭐ 8

Recommendation engine and it's algorithms in python , R .

Kafka Spark Product Recommendation ⭐ 8

Python script demonstrating spark streaming and Kafka implementation using an e-commerce website like product recommendation engine based on item-based collaborative filtering. 🐍. 💥

Pytorch_ngcf ⭐ 8

PyTorch Implemenation for Neural Graph Collaborative Filtering

Movie Recommendation System ⭐ 8

Movie Recommendation System using the MovieLens dataset

PyTorch Implementation for "HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization(WWW2022)"

Linedin User Profile Hybrid Recommendation ⭐ 7

Mxnet Recommender ⭐ 7

Collaborative Filtering NN and CNN based recommender implemented with MXNet

This is the repository for our paper "GAN-based Matrix Factorization for Recommender Systems" accepted at ACM/SIGAPP Symposium on Applied Computing (SAC '22).

Retailhero Recommender Solution ⭐ 7

3rd place solution for RetailHero.ai/#2

Steam Recommendations ⭐ 7

Recommending games to Steam users 🎮

Product Matching ⭐ 7

The topic is about product matching via Machine Learning. This involves using various machine learning techniques such as natural language processing, image recognition, and collaborative filtering algorithms to match similar products together.

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"

Ucl Irdm Collaborative Filtering ⭐ 7

Collaborative filtering project

[PY]thon [R]ec[O]mmender [S]ystems library

Twinkeydow ⭐ 7

it recommends github repos

Recommendation Engine With Neo4j ⭐ 7

Building a movie collaborative-filtering-based recommendation system with neo4j & python ...

Netflix Movie Recommender System ⭐ 7

Developed a recommendation system in Python using Netflix prize dataset and MovieLens data set using collaborative filtering technique to recommend movies to a user, based on their preferences.

GHRS: Graph-based hybrid recommendation system with application to movie recommendation

Neural Collaborative Filtering with MovieLens in pytorch

Neighbors ⭐ 6

A package to perform collaborative filtering on emotion datasets.

SCoRe is a sequential recommendation model with dual side neighbor-based collaborative filtering. Implementation of our WSDM 2020 paper.

Variational Autoencoders For Collaborative Filtering Pytorch ⭐ 6

Implementation of variational autoencoders for collaborative filtering in PyTorch

Hybrid Recommender System ⭐ 6

A repository for a machine learning project about creating a hybrid movie recommender system.

Ease Side Info Recsys 2020 ⭐ 6

Source code for our LBR paper "Closed-Form Models for Collaborative Filtering with Side-Information" published at RecSys 2020.

Scalable Collaborative Filtering ⭐ 6

Collaborative Filtering

A Hidden Markov Model for Collaborative Filtering

Msca 31005 Database Class Project ⭐ 6

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.

PyTorch Implementation for "Hyperbolic Informative Collaborative Filtering(KDD2022)"

A Comparative Analysis Of Amazon Book Ratings Using Collaborative Filtering ⭐ 6

Juxtaposing different Recommender Algorithms by utilizing the concept of Collaborative Filtering to analyze the Amazon Book Ratings.

Movie Recommender System ⭐ 6

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.

Movy Matchism ⭐ 6

A Movie recommendation System

E Commerce Recommendation Engine ⭐ 5

A recommendation engine for an e-commerce website using collaborative filtering

Chefmate is a from-scratch search engine built using Python, NodeJS, and React for Purdue 2020 Senior Capstone

Movie Recommendation Tutorial ⭐ 5

Krotos Convnet ⭐ 5

musical snobbery, with a touch of machine learning

Torch Recsys Basics ⭐ 5

Implementation of Basic Recommendation System Models with PyTorch

Recommendersystems ⭐ 5

Recommender Systems and Collaborative Filtering

Movie Recommendation System Web Application ⭐ 5

Building a Movie Recommendation System web application using Django framework and Collaborative Filtering technique

Collaborative Filtering Using Matrix Factorization in TensorFlow

Jobrecsys ⭐ 5

ACM RecSys Challenge 2016: Job recommender system for XING

Movie Recommendation Engine Using User Based Collaborative Filtering ⭐ 5

User Based Movie Recommendation System based on Collaborative Filtering Using Netflix Movie Dataset

DeepRank: Learning to Rank with Neural Networks for Recommendation

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