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Search results for collaborative filtering
collaborative-filtering
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305 search results found
You Can Not Recommend
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11
Recommender system engine on NodeJS
Sif
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11
Efficient Neural Interaction Functions Search for Collaborative Filtering
Restaurant Recommendations With Yelp
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11
🍕Recommend new restaurants to Yelp users, using ratings predicted from reviews.
Efficientcof
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11
A new efficient subspace and K-Means clustering based method to improve Collaborative Filtering
Data Science Skills Practice
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11
Neural Recommender
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11
Neural recommender system implementation in TensorFlow.
Cleverrec
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11
CleverRec: An Open-source Toolkit for Recommendation System.
Open Code
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11
Open Source Projects from TULIP Lab
Movie Recommender And Score Prediction System
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11
Provides Movie Recommendations on the MovieLens ml-100k dataset using Collaborative Filtering
Listrank Mf
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11
A Java implementation of ListRank-MF mentioned in List-wise Learning to Rank ith Matrix Factorization for Collaborative Filtering
Collaborative Filtering
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11
Recommendation System using Collaborative Filtering
Grocery_recommendation
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10
Grocery Recommendation on Instacart Data
Lt Ocf
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10
LT-OCF: Learnable-Time ODE-based Collaborative Filtering, CIKM'21
Bigdata_project_recommender_system
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10
Recommender system based on Item Collaborative Filtering and MapReduce
Federated Recommendation Neural Collaborative Filtering
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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.
Sql Rank
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10
A Novel Listwise Collaborative Ranking Algorithm published at ICML'18
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.
Bookrecommender
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9
Contentwise Impressions
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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"
Recommendersystem
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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.
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.
Transcf
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9
Collaborative Translational Metric Learning (ICDM 2018)
Neural_cf
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9
Comparing keras, pytorch and gluon using neural collaborative filtering
Academicrecommendation_dlut
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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
Mcam Numpy
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9
Low-rank Matrix Completion using Alternating Minimization
Recommender System
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9
Anime recommender system using collaborative filtering and latent factor model
Als Ncg
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9
NCG acceleration of ALS computing low rank matrix factorizations for Collaborative Filtering
Neumf
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9
Movie_recommender
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9
Movie Recommender System with Django.
Amazon Product Recommendation Cf Als Spark
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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.
Kafka Spark Product Recommendation
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8
Python script demonstrating spark streaming and Kafka implementation using an e-commerce website like product recommendation engine based on item-based collaborative filtering. 🐍. 💥
Js Recommender
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8
Package provides java implementation of content collaborative filtering for recommend-er system
Hrcf
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8
PyTorch Implementation for "HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization(WWW2022)"
Cdn Recsys
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8
A hybrid recommender system for suggesting CDN (content delivery network) providers to various websites
Movies Recommender
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8
A system to recommend movies according to ratings provided by users using Collaborative Filtering Learning Algorithm.
Recommendation Engine
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8
Recommendation engine and it's algorithms in python , R .
Market_basket_analysis
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8
Market Basket Analysis with Recommendation Algorithms & Shiny App Implementation of a Product Recommendation System for an Online Retailer
Reccage
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8
Reccage Recommendation Engine
Recommender System
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8
SQL-based Recommendation System for multi-topic recommendations
Pytorch_ngcf
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8
PyTorch Implemenation for Neural Graph Collaborative Filtering
Movie Recommendation System
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8
Movie Recommendation System using the MovieLens dataset
Steam Recommendations
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7
Recommending games to Steam users 🎮
Ucl Irdm Collaborative Filtering
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7
Collaborative filtering project
Retailhero Recommender Solution
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7
3rd place solution for RetailHero.ai/#2
Twinkeydow
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7
it recommends github repos
Linedin User Profile Hybrid Recommendation
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7
Cfecbf
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7
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"
Collaborative Filtering
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7
Recsys
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7
Recommender System Demo
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7
Build and Deploy Recommender System on rorocloud
Pyros
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7
[PY]thon [R]ec[O]mmender [S]ystems library
Product Matching
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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.
Netflix Movie Recommender System
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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.
Recommendation Engine With Neo4j
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7
Building a movie collaborative-filtering-based recommendation system with neo4j & python ...
Musicmagal
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7
Mef
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7
Datasets and source code for reproducing the paper 'Integrating multiple evidence sources to predict adverse drug reactions based on systems pharmacology model'.
Ehcf
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7
Mxnet Recommender
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7
Collaborative Filtering NN and CNN based recommender implemented with MXNet
Ganmf
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7
This is the repository for our paper "GAN-based Matrix Factorization for Recommender Systems" accepted at ACM/SIGAPP Symposium on Applied Computing (SAC '22).
Exp Grmf Nips15
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6
Experimental Codes for Collaborative Filtering with Graph Information: Consistency and Scalable Methods.
Ease Side Info Recsys 2020
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6
Source code for our LBR paper "Closed-Form Models for Collaborative Filtering with Side-Information" published at RecSys 2020.
Movie Recommendation Engines
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6
Writing recommendation systems for movies, and performing data analysis on movie datasets to gain valuable insights.
Musicbolt
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6
A simple Music Recommender system built using Collaborative filtering and Spotify API. Built on top of MERN stack
Kaggle Santander Product Recommendation
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6
Code used in Kaggle's Santander Product Recommendation competition.
Book Recommendation Service
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6
Book Recommendation Service
Movy Matchism
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6
A Movie recommendation System
Ghrs
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6
GHRS: Graph-based hybrid recommendation system with application to movie recommendation
Ncf
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6
Neural Collaborative Filtering with MovieLens in pytorch
Neighbors
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6
A package to perform collaborative filtering on emotion datasets.
Score
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6
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
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6
Implementation of variational autoencoders for collaborative filtering in PyTorch
Hybrid Recommender System
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6
A repository for a machine learning project about creating a hybrid movie recommender system.
Collaborative_filtering_spark
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6
Movie_recommender_system_scala
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6
Build a movie recommender system using Collaborative Filtering by leveraging Spark in Scala
Data Mining
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6
Some Data Mining topics
Recommender
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6
Collaborative Filtering and Recommender Systems algorithm implementation
Symfony Propel Slope One Recommendations Plugin
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6
Collaborative filtering for symfony based on Slope One algorithmns
Scalable Collaborative Filtering
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6
Collaborative Filtering
Recommendation
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6
Collaborative filtering for recommender system
Mahouthadoopusecase
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6
Movie Recommendation (1.download and preprocess the dataset; 2.put data onto the hadoop HDFS; 3. run Mahout Collaborative Filtering on Hadoop with MapReduce 4. Get top k movie list for Recommendation)
Hmmforcf
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6
A Hidden Markov Model for Collaborative Filtering
Msca 31005 Database Class Project
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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.
Slam
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6
Second-language acquisition modeling, that extends the task of knowledge tracing. PyTorch implementations of neural collaborative filtering, (TODO) deep knowledge tracking (LSTM and Memory Network) on Assistment09 benchmark dataset.
A Comparative Analysis Of Amazon Book Ratings Using Collaborative Filtering
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6
Juxtaposing different Recommender Algorithms by utilizing the concept of Collaborative Filtering to analyze the Amazon Book Ratings.
Movie Recommender System
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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.
Hicf
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6
PyTorch Implementation for "Hyperbolic Informative Collaborative Filtering(KDD2022)"
Online Book Store With Recommendation System
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6
This project deals with developing an e-commerce website for Online Book Sale. It provides the user with a catalog of different books available for purchase in the store. In order to facilitate online purchase a shopping cart is provided to the user. The users are recommended on the basis of previous users rating.
Rspapers
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5
Recommendersystems
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5
Recommender Systems and Collaborative Filtering
Tfmf
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5
Collaborative Filtering Using Matrix Factorization in TensorFlow
Jpl Framework
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5
Java framework for Preference Learning
Thyfriendmyfriend
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5
Implementation of the NIPS'17 paper titled "Thy Friend is My Friend: Iterative Collaborative Filtering for Sparse Matrix Estimation"
Movie Recommendation Engine Using User Based Collaborative Filtering
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5
User Based Movie Recommendation System based on Collaborative Filtering Using Netflix Movie Dataset
Deeprank
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5
DeepRank: Learning to Rank with Neural Networks for Recommendation
E Commerce Recommendation Engine
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5
A recommendation engine for an e-commerce website using collaborative filtering
Movie Recommendation Tutorial
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5
Krotos Convnet
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5
musical snobbery, with a touch of machine learning
Torch Recsys Basics
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5
Implementation of Basic Recommendation System Models with PyTorch
Recommendation System
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5
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.
Jobrecsys
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5
ACM RecSys Challenge 2016: Job recommender system for XING
Related Searches
Collaboration Collaborative Filtering (410)
Recommendation System Collaborative Filtering (357)
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Jupyter Notebook Collaborative Filtering (221)
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