kajallochab/CollabCraft

Collaborative Filtering: Item-Item collaborative filtering and User-User collaborative filtering

Language: Jupyter Notebook - Size: 4.88 KB - Last synced: about 6 hours ago - Pushed: about 7 hours ago - Stars: 1 - Forks: 0

KayvanShah1/usc-dsci553-data-mining-sp24

USC DSCI 553 - Foundations & Applications of Data Mining - Spring 2024 - Prof. Wei-Min Shen

Language: Python - Size: 29.4 MB - Last synced: 1 day ago - Pushed: 2 days ago - Stars: 0 - Forks: 0

Anotherafael/STUDY_WineRecommendation

This project developed two wine recommendation models using the XWines dataset, employing collaborative filtering and content-based techniques. It leveraged Python, Numpy, Pandas, Jupyter Notebook, VSCode, and Scikit-learn.

Language: Jupyter Notebook - Size: 15.8 MB - Last synced: about 24 hours ago - Pushed: 1 day ago - Stars: 1 - Forks: 0

benfred/implicit

Fast Python Collaborative Filtering for Implicit Feedback Datasets

Language: Python - Size: 7.51 MB - Last synced: 1 day ago - Pushed: about 2 months ago - Stars: 3,435 - Forks: 604

sb-ai-lab/RePlay

A Comprehensive Framework for Building End-to-End Recommendation Systems with State-of-the-Art Models

Language: Python - Size: 33.9 MB - Last synced: about 18 hours ago - Pushed: 1 day ago - Stars: 126 - Forks: 23

Nathius262/trend-fitness-recommendation-technique

Trend Fitness is a web application dedicated to providing professional fitness advice which will include a range from fitness plans to diet plans catered to every individual needs. I believe that my web application will embark on a transformative journey towards a healthier lifestyle.

Language: HTML - Size: 521 KB - Last synced: 2 days ago - Pushed: 2 days ago - Stars: 0 - Forks: 0

lakshya076/Cinematch

Movie Recommender (School Project)

Language: Python - Size: 3.57 MB - Last synced: 3 days ago - Pushed: 3 days ago - Stars: 3 - Forks: 0

sunsikim/pt-rec-simplex

How Pytorch implementation of SimpleX model training logic might look like in production

Language: Python - Size: 1.98 MB - Last synced: 3 days ago - Pushed: 3 days ago - Stars: 0 - Forks: 0

datamarket-tobigs/TripBigs_Web Fork of csy1204/TripBigs_Web

[제 10회 투빅스 컨퍼런스] Tripbigs - 호텔부터 맛집까지, 여행객을 위한 추천 시스템

Language: Python - Size: 2.95 MB - Last synced: 3 days ago - Pushed: over 3 years ago - Stars: 5 - Forks: 0

yihong-chen/neural-collaborative-filtering

pytorch version of neural collaborative filtering

Language: Jupyter Notebook - Size: 14 MB - Last synced: 3 days ago - Pushed: 12 days ago - Stars: 448 - Forks: 143

lucasvinhtran/group-recommender-systems

This repository contains recent research papers, datasets, and source codes (if any) for Group Recommendation

Size: 4.88 KB - Last synced: 4 days ago - Pushed: 4 days ago - Stars: 48 - Forks: 5

towardsai/tutorials

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

Language: Jupyter Notebook - Size: 5.77 MB - Last synced: 4 days ago - Pushed: 12 days ago - Stars: 966 - Forks: 355

rajlm10/What-to-watch

Machine-learning and statistics based movie recommendation system

Language: Python - Size: 8.62 MB - Last synced: 5 days ago - Pushed: over 2 years ago - Stars: 4 - Forks: 0

sayande01/Book_Recommender_System_Machine_Learning

This project aims to build an advanced book recommendation system by integrating collaborative filtering, content-based filtering, and machine learning. It offers tailored suggestions based on user preferences and interactions, using EDA for insights and cosine similarity and SVD for precise recommendations.

Language: Jupyter Notebook - Size: 0 Bytes - Last synced: 5 days ago - Pushed: 5 days ago - Stars: 0 - Forks: 0

Shivam1603/Movies-Recommender-System

Language: Python - Size: 5.6 MB - Last synced: 5 days ago - Pushed: about 4 years ago - Stars: 0 - Forks: 0

PreferredAI/cornac

A Comparative Framework for Multimodal Recommender Systems

Language: Python - Size: 24 MB - Last synced: 3 days ago - Pushed: 10 days ago - Stars: 820 - Forks: 133

xiong-ying/KG-Rec-Sys-Tourism-SG

Knowledge Graph Construction and Recommender System Development of Tourism in Singapore

Language: Jupyter Notebook - Size: 16.9 MB - Last synced: 6 days ago - Pushed: 6 days ago - Stars: 0 - Forks: 0

hongleizhang/RSPapers

A Curated List of Must-read Papers on Recommender System.

Size: 1.48 GB - Last synced: 8 days ago - Pushed: 8 days ago - Stars: 5,918 - Forks: 1,320

KNODIS-Research-Group/neural-cf-for-groups

Language: Jupyter Notebook - Size: 91.3 MB - Last synced: 8 days ago - Pushed: 8 days ago - Stars: 2 - Forks: 0

KNODIS-Research-Group/dl-cf-groups-deep-aggregation

dl-cf-groups-deep-aggregation

Language: Jupyter Notebook - Size: 6.53 MB - Last synced: 8 days ago - Pushed: 9 days ago - Stars: 0 - Forks: 0

Ayushma00/Text-Mining-and-Recommendation-System-for-Yelp-Dataset-

Restaurant Recommendation Application

Language: Jupyter Notebook - Size: 11.9 MB - Last synced: 9 days ago - Pushed: 9 days ago - Stars: 0 - Forks: 1

HKUDS/SSLRec

[WSDM'2024 Oral] "SSLRec: A Self-Supervised Learning Framework for Recommendation"

Language: Python - Size: 98.2 MB - Last synced: 9 days ago - Pushed: 9 days ago - Stars: 298 - Forks: 34

shadowbourne/CACBCF-Recommender-System

3rd Year: 1st - 92. A Novel Context Aware Restaurant Recommender System Using Content-Boosted Collaborative Filtering (CACBCF).

Language: Python - Size: 43.1 MB - Last synced: 10 days ago - Pushed: over 2 years ago - Stars: 2 - Forks: 1

alejandronotario/Craft-Beer-Recommender

Language: Jupyter Notebook - Size: 2.5 MB - Last synced: 11 days ago - Pushed: over 5 years ago - Stars: 1 - Forks: 0

rixwew/pytorch-fm

Factorization Machine models in PyTorch

Language: Python - Size: 5.57 MB - Last synced: 4 days ago - Pushed: about 1 month ago - Stars: 985 - Forks: 219

sdl60660/letterboxd_recommendations

Scraping publicly-accessible Letterboxd data and creating a movie recommendation model with it that can generate recommendations when provided with a Letterboxd username

Language: Python - Size: 5.37 GB - Last synced: 15 days ago - Pushed: 16 days ago - Stars: 213 - Forks: 14

srp98/Movie-Recommender-using-RBM

A Movie Recommender System using Restricted Boltzmann Machine (RBM), approach used is collaborative filtering.

Language: Python - Size: 5.61 MB - Last synced: 12 days ago - Pushed: about 6 years ago - Stars: 32 - Forks: 27

threnjen/boardgamegeek

BoardGameGeek Recommender System is a start-to-finish project, from sourcing the data to a hybrid recommender system utilizing both content-based and collaborative filtering.

Language: Jupyter Notebook - Size: 105 MB - Last synced: 12 days ago - Pushed: 13 days ago - Stars: 4 - Forks: 0

jeongwhanchoi/BSPM

Blurring-Sharpening Process Models for Collaborative Filtering, SIGIR'23

Language: Python - Size: 60.5 MB - Last synced: 13 days ago - Pushed: 13 days ago - Stars: 85 - Forks: 7

riolaf05/spark-elasticsearch-recommendation

Recommendation system using Alternating Least Squares(ALS) and Cosine Similarity on PySpark and Elasticsearch

Language: Jupyter Notebook - Size: 8.79 KB - Last synced: 14 days ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

AmanPriyanshu/Federated-Recommendation-Neural-Collaborative-Filtering

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.

Language: Python - Size: 135 MB - Last synced: 15 days ago - Pushed: about 1 year ago - Stars: 25 - Forks: 4

windson/Recommender-Systems

Recommender Systems with Collaborative Filtering

Language: Jupyter Notebook - Size: 712 KB - Last synced: 15 days ago - Pushed: over 6 years ago - Stars: 1 - Forks: 0

NemesLaszlo/Item-Item_Collaborative_Filtering

Item-item collaborative filtering, or item-based, or item-to-item, is a form of collaborative filtering for recommender systems based on the similarity between items calculated using people's ratings of those items.

Language: Jupyter Notebook - Size: 5.86 KB - Last synced: 15 days ago - Pushed: about 4 years ago - Stars: 1 - Forks: 0

kdevo/chaos-rrs

Chaos - a first of its kind framework for researching Reciprocal Recommender Systems (RRS).

Language: Python - Size: 1.79 MB - Last synced: 15 days ago - Pushed: over 2 years ago - Stars: 11 - Forks: 1

PrinceP/RBM_for_CF

RBM for collaborative filtering using metadata

Language: Python - Size: 22.5 KB - Last synced: 15 days ago - Pushed: over 7 years ago - Stars: 0 - Forks: 0

FlorianWilhelm/lda4rec

🧮 Extended Latent Dirichlet Allocation for Collaborative Filtering in Recommender Systems.

Language: Jupyter Notebook - Size: 3.12 MB - Last synced: 15 days ago - Pushed: almost 2 years ago - Stars: 40 - Forks: 6

CH6832/movie-recommendation-system

This small recommendation system implemnts collaborative popularity-based and content-based filtering to recommend movies to customers.

Language: Jupyter Notebook - Size: 20.5 KB - Last synced: 15 days ago - Pushed: 15 days ago - Stars: 0 - Forks: 0

YuanchenBei/Awesome-Cold-Start-Recommendation

A curated list of papers on cold-start recommendations.

Size: 90.8 KB - Last synced: 15 days ago - Pushed: 16 days ago - Stars: 12 - Forks: 3

EagerAI/fastai

R interface to fast.ai

Language: HTML - Size: 69 MB - Last synced: 1 day ago - Pushed: about 1 month ago - Stars: 118 - Forks: 13

ztqsteve/Yelp-Data-Challenge

Apply machine learning algorithms to data analysis,modeling and recommender system for hands-on practice.

Language: Python - Size: 227 KB - Last synced: 16 days ago - Pushed: over 6 years ago - Stars: 3 - Forks: 1

david-cortes/cmfrec

(Python, R, C) Collective (multi-view/multi-way) matrix factorization, including cold-start functionality (recommender systems, imputation, dimensionality reduction)

Language: C - Size: 2.8 MB - Last synced: 16 days ago - Pushed: 16 days ago - Stars: 110 - Forks: 31

RECeSS-EU-Project/benchmark-code

Code associated with "Benchmarking collaborative filtering approaches to drug repurposing"

Language: Python - Size: 127 KB - Last synced: 16 days ago - Pushed: 16 days ago - Stars: 1 - Forks: 0

gorse-io/gorse

Gorse open source recommender system engine

Language: Go - Size: 10.9 MB - Last synced: 16 days ago - Pushed: about 1 month ago - Stars: 8,126 - Forks: 728

luigiselmi/mahoutrecommender

A recommender system based on Apache Mahout

Language: Java - Size: 5.66 MB - Last synced: 17 days ago - Pushed: almost 6 years ago - Stars: 1 - Forks: 0

valiantlynx/recommendation-engine

recommendation-engine i use on some of my project gathered together

Language: Jupyter Notebook - Size: 70.4 MB - Last synced: 17 days ago - Pushed: 17 days ago - Stars: 0 - Forks: 0

mariodmtrv/music-recommendations

Music recommender system with collaborative and content-based filtering

Language: Python - Size: 22.5 KB - Last synced: 17 days ago - Pushed: over 5 years ago - Stars: 0 - Forks: 1

phpjuice/opencf

PHP implementation of the (Weighted Slopeone,Cosine, Weighted Cosine) rating-based collaborative filtering schemes.

Language: PHP - Size: 68.4 KB - Last synced: 10 days ago - Pushed: 7 months ago - Stars: 93 - Forks: 6

tigoCaval/recommendation-algorithm

Collaborative filtering recommendation system. Recommendation algorithm using collaborative filtering. Topics: Ranking algorithm, euclidean distance algorithm, slope one algorithm, filtragem colaborativa.

Language: PHP - Size: 37.1 KB - Last synced: 16 days ago - Pushed: almost 2 years ago - Stars: 74 - Forks: 13

makgyver/rectorch

rectorch is a pytorch-based framework for state-of-the-art top-N recommendation

Language: Python - Size: 3.25 MB - Last synced: 18 days ago - Pushed: about 3 years ago - Stars: 150 - Forks: 19

RUCAIBox/RecBole

A unified, comprehensive and efficient recommendation library

Language: Python - Size: 18.8 MB - Last synced: 17 days ago - Pushed: 24 days ago - Stars: 3,180 - Forks: 581

manoharpalanisamy/Machine-Learning

It consists of base machine learning algorithms and applied mathematics has Involved

Language: HTML - Size: 255 MB - Last synced: 18 days ago - Pushed: over 4 years ago - Stars: 1 - Forks: 0

skyer9/collaborative-filtering-in-mysql

collaborative filtering in mysql

Size: 65.4 KB - Last synced: 18 days ago - Pushed: almost 5 years ago - Stars: 14 - Forks: 0

HKUDS/DiffKG

[WSDM'2024 Oral] "DiffKG: Knowledge Graph Diffusion Model for Recommendation"

Language: Python - Size: 20.7 MB - Last synced: 19 days ago - Pushed: 2 months ago - Stars: 47 - Forks: 3

massquantity/LibRecommender

Versatile End-to-End Recommender System

Language: Python - Size: 11.1 MB - Last synced: 19 days ago - Pushed: 19 days ago - Stars: 311 - Forks: 58

aurelienmorgan/edx-movielens

Product Recommender Engine - Use Case: 'The MovieLens 10M dataset'

Language: R - Size: 12.8 MB - Last synced: 20 days ago - Pushed: over 3 years ago - Stars: 0 - Forks: 0

HKUDS/RLMRec

[WWW'2024] "RLMRec: Representation Learning with Large Language Models for Recommendation"

Language: Python - Size: 441 MB - Last synced: 19 days ago - Pushed: 4 months ago - Stars: 196 - Forks: 18

TommyNiemi/RECOMMENDER_SYSTEM

A movie recommender. Collaborative and content based filtering hybrid model.

Language: HTML - Size: 1.61 MB - Last synced: 21 days ago - Pushed: 22 days ago - Stars: 0 - Forks: 0

yessasvini23/Music_recommendation_system_Project

Music-Recommendation-System-Project Problem Statement: This is a recommendation system project, that analyzes user preferences and to provide personalized recommendations. This system aims to simplify decision-making, enhance music discovery, and improve the overall user experience.

Language: Jupyter Notebook - Size: 5.05 MB - Last synced: 21 days ago - Pushed: 21 days ago - Stars: 1 - Forks: 0

AmazingDD/daisyRec 📦

This is the repository of our article published in RecSys 2020 "Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison"

Language: Python - Size: 12.8 MB - Last synced: 16 days ago - Pushed: about 1 year ago - Stars: 545 - Forks: 86

HKUDS/LightGCL

[ICLR'2023] "LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation"

Language: Python - Size: 51.2 MB - Last synced: 19 days ago - Pushed: 11 months ago - Stars: 145 - Forks: 16

HKUDS/GFormer

[SIGIR'2023] "GFormer: Graph Transformer for Recommendation"

Language: Python - Size: 7.44 MB - Last synced: 19 days ago - Pushed: 4 months ago - Stars: 44 - Forks: 9

HKUDS/HGCL

[WSDM'2023] "HGCL: Heterogeneous Graph Contrastive Learning for Recommendation"

Language: Python - Size: 33.7 MB - Last synced: 19 days ago - Pushed: 12 months ago - Stars: 73 - Forks: 10

jrzaurin/RecoTour

A tour through recommendation algorithms in python [IN PROGRESS]

Language: Jupyter Notebook - Size: 5.87 MB - Last synced: 3 days ago - Pushed: over 2 years ago - Stars: 176 - Forks: 39

CRIPAC-DIG/DGCF

[ICDM 2020] Python implementation for "Dynamic Graph Collaborative Filtering."

Language: Python - Size: 334 KB - Last synced: 22 days ago - Pushed: 22 days ago - Stars: 39 - Forks: 6

sisinflab/Edge-Graph-Collaborative-Filtering

Accepted as full paper at DL4SR@CIKM2022

Language: Python - Size: 2.87 MB - Last synced: 23 days ago - Pushed: over 1 year ago - Stars: 2 - Forks: 1

dsfx3d/movielens 📦

A Feature Preference based CF Experiment on MovieLens 100K dataset

Language: Jupyter Notebook - Size: 12.8 MB - Last synced: 23 days ago - Pushed: over 6 years ago - Stars: 0 - Forks: 0

arifintahu/movie-recommender-app

An implementation of user based collaborative filtering on movies dataset.

Language: HTML - Size: 102 KB - Last synced: 23 days ago - Pushed: over 3 years ago - Stars: 2 - Forks: 0

tuansunday05/ArticleRecommenderSystem

Using hybrid recommender system with apriori algorithm, content-based and collaborative filtering method for predicting users interactions and then recommend them for users.

Language: Jupyter Notebook - Size: 8.93 MB - Last synced: 23 days ago - Pushed: 4 months ago - Stars: 1 - Forks: 3

HKUDS/PromptMM

[WWW'2024] "PromptMM: Multi-Modal Knowledge Distillation for Recommendation with Prompt-Tuning"

Language: Python - Size: 884 KB - Last synced: 19 days ago - Pushed: about 2 months ago - Stars: 26 - Forks: 1

HKUDS/DCCF

[SIGIR'2023] "DCCF: Disentangled Contrastive Collaborative Filtering"

Language: Python - Size: 51.8 MB - Last synced: 19 days ago - Pushed: about 2 months ago - Stars: 45 - Forks: 5

Vikas-KM/movie-recommender-system

Movie Recommender System Machine Learning Model

Language: Jupyter Notebook - Size: 831 KB - Last synced: 24 days ago - Pushed: over 3 years ago - Stars: 0 - Forks: 0

vvHacker007/Movie-Recommendation-System Fork of adityamukherjee42/Movie-Recommendation-System

Movie Recommendation System made using Collaborative and Content based filtering as a part of the AI Project

Size: 14.6 KB - Last synced: 24 days ago - Pushed: about 2 years ago - Stars: 1 - Forks: 0

sisinflab/elliot

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

Language: Python - Size: 78.4 MB - Last synced: 23 days ago - Pushed: 7 months ago - Stars: 265 - Forks: 49

ZeusCoderBE/Recommender-System

Content-based Filtering, Neighborhood-based Collaborative Filtering

Language: Jupyter Notebook - Size: 2.76 MB - Last synced: 24 days ago - Pushed: 25 days ago - Stars: 0 - Forks: 0

dimits-ts/short-recommender-survey

A very brief primer of Content Based vs Collaborative Filtering algorithms

Language: TeX - Size: 423 KB - Last synced: 25 days ago - Pushed: 11 months ago - Stars: 0 - Forks: 0

sadensmol/plan_deep_learning

Language: Jupyter Notebook - Size: 238 KB - Last synced: 25 days ago - Pushed: over 3 years ago - Stars: 0 - Forks: 0

shromana98/Collaborative-Filtering

Movie Recommendation System (Collaborative Filtering

Language: Jupyter Notebook - Size: 82 KB - Last synced: 25 days ago - Pushed: 25 days ago - Stars: 0 - Forks: 0

AlexGidiotis/keras-CF-NADE

keras implementation of Neural Autoregressive Distribution Estimator for Collaborative Filtering

Language: Python - Size: 23.4 KB - Last synced: 25 days ago - Pushed: almost 4 years ago - Stars: 9 - Forks: 4

mwaboff/MonkeyScripts

Built using PHP7/Laravel and Javascript/React. MonkeyScripts.org is a modern userscript hosting and sharing site. Implements a custom recommendation system and innovative tutorial.

Language: PHP - Size: 4.71 MB - Last synced: 26 days ago - Pushed: over 3 years ago - Stars: 2 - Forks: 0

opw0011/COMP4651_Movie_Recommendation_Model

COMP4651 Spark ML Project

Language: Jupyter Notebook - Size: 102 KB - Last synced: 26 days ago - Pushed: almost 7 years ago - Stars: 2 - Forks: 4

tseste/nbcf

A collection of neighborhood based collaborative filtering variants

Language: Python - Size: 4.88 KB - Last synced: 26 days ago - Pushed: over 6 years ago - Stars: 0 - Forks: 0

Ar11rA/Final-Year-Project

A recommendations and prediction engine to make travel serivices easier for everyone.

Language: HTML - Size: 12.8 MB - Last synced: 27 days ago - Pushed: over 6 years ago - Stars: 0 - Forks: 1

dandxy89/BellkorAlgorithm

A Python implementation of the Bellkor Algorithm

Language: Jupyter Notebook - Size: 184 KB - Last synced: 27 days ago - Pushed: 27 days ago - Stars: 40 - Forks: 15

ilias-ant/recommender-systems

Implementing various Recommender Systems.

Language: Jupyter Notebook - Size: 6.82 MB - Last synced: 28 days ago - Pushed: about 2 years ago - Stars: 7 - Forks: 0

Pratik94229/Book-Recommendation-System

This repository contains the code for a book recommendation system that uses natural language processing techniques to recommend books to users based on their preferences.

Language: Jupyter Notebook - Size: 40.5 MB - Last synced: 28 days ago - Pushed: 12 months ago - Stars: 4 - Forks: 0

snandasena/recomendation-system-ibm-watson

Articles recomendations for IBM Watson users

Language: HTML - Size: 4.46 MB - Last synced: 29 days ago - Pushed: about 4 years ago - Stars: 0 - Forks: 0

PreferredAI/bi-vae

Code for the paper "Bilateral Variational Autoencoder for Collaborative Filtering", WSDM'21

Language: Python - Size: 66.4 KB - Last synced: 19 days ago - Pushed: about 1 year ago - Stars: 33 - Forks: 4

glami/sansa

SANSA - sparse EASE for millions of items

Language: Python - Size: 1.69 MB - Last synced: 30 days ago - Pushed: about 1 month ago - Stars: 24 - Forks: 2

mokarakaya/time-sensitive-item-based-recommender

Time Sensitive Item Based Recommendation System

Language: Java - Size: 5.56 MB - Last synced: 30 days ago - Pushed: over 7 years ago - Stars: 3 - Forks: 2

mokarakaya/graphaggregatediversity

Language: Java - Size: 118 KB - Last synced: 30 days ago - Pushed: about 7 years ago - Stars: 0 - Forks: 0

seahrh/bc-recommender

Predict book ratings with item-based collaborative filtering on the Book-Crossing dataset

Language: Java - Size: 32.2 KB - Last synced: about 1 month ago - Pushed: over 6 years ago - Stars: 3 - Forks: 1

abhishekjiitr/movie-recommendation-system

Machine Learning project based on Collaborative Filtering on the MovieLens dataset

Language: Python - Size: 12.6 MB - Last synced: about 1 month ago - Pushed: almost 5 years ago - Stars: 4 - Forks: 1

RaffayHusayn/Collaborative-Filtering

Collaborative Filtering Model developed using Tensorflow and trained on MovieLens Dataset. This Model is based on Neural Collaborative Filtering research paper.

Language: Jupyter Notebook - Size: 72.3 KB - Last synced: about 1 month ago - Pushed: about 1 year ago - Stars: 2 - Forks: 0

donigian/item-based-movie-recommender-system

Item based collaborative filter which makes movie recommendations.

Language: Jupyter Notebook - Size: 888 KB - Last synced: about 1 month ago - Pushed: over 6 years ago - Stars: 4 - Forks: 2

lenguyenthedat/raptor

A lightweight product recommendation system (Item Based Collaborative Filtering) developed in Haskell.

Language: Haskell - Size: 593 KB - Last synced: about 1 month ago - Pushed: about 7 years ago - Stars: 34 - Forks: 2

lenguyenthedat/dextra-viki-2015

My solution for Dextra Data Science Challenge #43 (Rakuten/Viki) https://challenges.dextra.sg/challenge/43

Language: Jupyter Notebook - Size: 335 KB - Last synced: about 1 month ago - Pushed: over 6 years ago - Stars: 2 - Forks: 2

yennanliu/movie_recommendation

Build recommendation algorithms via movie data that can be potentially applied to customized content such as music, and ecommerce

Language: Jupyter Notebook - Size: 29.9 MB - Last synced: about 1 month ago - Pushed: almost 5 years ago - Stars: 2 - Forks: 0

etlundquist/rankfm

Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data

Language: Python - Size: 2.15 MB - Last synced: 1 day ago - Pushed: 10 months ago - Stars: 170 - Forks: 36

pratzss/Netflix_Movie_Recommendation

The objective of this project is to build a recommendation system to recommend movies to users based on the ratings given to different movies by the users.

Language: Jupyter Notebook - Size: 1.38 MB - Last synced: about 1 month ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

dawenl/vae_cf

Variational autoencoders for collaborative filtering

Language: Jupyter Notebook - Size: 49.8 KB - Last synced: 29 days ago - Pushed: about 6 years ago - Stars: 524 - Forks: 157