content-based-filtering

There are 2 repositories under content-based-filtering topic.

SebastianRokholt / Hybrid-Recommender-System
A repository for a machine learning project about developing a hybrid movie recommender system.
recommender-system hybrid-recommender-system collaborative-filtering content-based-filtering python matplotlib data-science machine-learning regression-models k-nearest-neighbours movielens lasso-regression randomforest movies movies-recommendation
Language:Jupyter Notebook 38
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).
recommendation-system collaborative-filtering content-based-filtering twitter-data natural-language-processing
Language:Jupyter Notebook 31
anothermorena / nft-marketplace
A react native(UI), FastAPI (Server) and MySQL(DB) non-fungible token market place with a machine learning content-based filtering recommendation engine.
blockchain-technology content-based-filtering content-based-recommendation fastapi machine-learning mysql nft nfts pydantic react-native sqlalchemy
Language:JavaScript 19
Upasanadhameliya / Django-Movie-Recommendor
Movie Website built on python Django framework; Uses Content Based Predictive Model approach to predict similar movies based on the contents/genres similarities
django django-project python3 content-filtering movielens movielens-dataset movie-recommendation machine-learning django3 content-based-recommendation content-based-filtering python python-3-6
Language:Python 14
chen0040 / mxnet-recommender
Collaborative Filtering NN and CNN based recommender implemented with MXNet
content-based-filtering collaborative-filtering mxnet recommender time-based-filtering
Language:Python 12
pm390 / recsys2022
Code repo of solution of 11th place in Recsys Challenge 2022
content-based-filtering deep-recsys ensemble-machine-learning item-collaborative-filtering lambdarank lgbmranker lightgbm-models ranking re-ranking recommender-systems solutions user-collaborative-filtering
Language:Jupyter Notebook 10
Irlll / anime-recommendation-system-content-based-filtering
Proyek akhir recommendation system untuk membangun model machine learning yang dapat memberi top-N anime rekomendasi
anime anime-recommendations recommendation-system recommender-system anime-recommendation content-based-filtering content-based-recommendation dicoding dicoding-academy dicoding-machine-learning dicoding-submission
Language:Jupyter Notebook 9
RRaphaell / Movie_Recommendation
recommender-system recommendation-system recommendation movies movies-recommendation colaborative-filtering content-based-recommendation content-based-filtering
Language:Jupyter Notebook 9
bumblebee26 / TheSocialComment-Challenge
Posts/Feeds recommendation engine based on content based and collaborative filtering methods
recommendation-engine recommender-system collaborative-filtering content-based-filtering content-based-recommendation python3 cosinesimilarity tfidfvectorizer rmse rae
Language:Jupyter Notebook 7
mohsenMahmoodzadeh / book-crossing-recommender-system
A python notebook for building collaborative, content-based, and ml-based recommender systems with Sklearn and Surprise
recommender-system recsys collaborative-filtering content-based-recommendation content-based-filtering machine-learning surprise recommendation-system plotly data-visualization data-analysis eda exploratory-data-analysis
Language:Jupyter Notebook 7
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
recommender-system recommendation-system natural-language-processing collaborative-filtering content-based-filtering movie-recommendation book-recomendation tvshows svd surprise django python web-application
Language:HTML 6
shr1611 / Recommendation_Systems_study
Comparison of performance evaluation of the baseline and hybrid recommendation systems using various metrics, to prove that hybrid systems perform better
recommendation-system collaborative-filtering content-based-filtering hybrid-recommender-system python3 movielens-dataset lightfm-library
Language:Jupyter Notebook 6
soumyajit4419 / Movie_Recommender_System
Recommending movies to user using various Colaborative Filtering and Content Based Filtering.
movie-recommender colaborative-filtering content-based-filtering correlation nlp
Language:Jupyter Notebook 6
hridayns / E-commerce-product-recommendation-system-integrated-with-Amazon-Echo-device
Recommendation System for Amazon Alexa E-Commerce Application
recommender-system recommendation-engine recommendation-system recommender-systems content-based-filtering collaborative-filtering amazon-alexa flask python
Language:Python 5
yyzz1010 / Recommendation_System_Allrecipes
Recommending Recipes with Content-based Filtering Approach (based on nutritions)
content-based-filtering pandas recommendation-system
Language:Jupyter Notebook 5
ssabrut / book-recommender-system
This project associated with my university for milestone project. A book recommender system using k-means clustering with content based approach from goodreads book dataset.
content-based-filtering cosine-similarity kmeans-clustering precision recall tfidf
Language:Jupyter Notebook 4
book-recommendation-system
GNDEC-Minor-Project-KGJ / book-recommendation-system
A recommendation system for books. Built by following two filtering methods that are Collaborative Filtering and Content Based Filtering. Algorithms used are KNN, Pearson Correlation, and TF-IDF. Every dataset used can be easily found in the data folder of the respository.
collaborative-filtering content-based-filtering jupyter knn-algorithm nltk pearson-correlation python3 recommendation-system tf-idf-vectorizer hacktoberfest
Language:Jupyter Notebook 3
joffinjoy / o-horizon-recommendation
Reference repository for the O-Horizon Recommendation Engine featured in Neo4j Graphversation Episode 2
beckn collaborative-filtering content-based-filtering neo4j neo4j-graph-data-science pagerank recommendation-system recommender-system
Language:JavaScript 3
StivenMetaj / Recommender_Systems_Challenge_2020
Repository for the Recommender Systems Challenge 2020/2021 @ PoliMi
alternating-least-squares bayesian-optimization content-based-filtering elasticnet hybrid-recommender-system implicit-feedback item-collaborative-filtering matrix-factorization polimi recommender-system recommender-systems rp3beta slim user-collaborative-filtering
Language:Python 3
AhmedShoeb0 / BooksRecommenderSystem
A simple books recommender system that provides the functionality to ask for books recommendations or search for them using various options.
book-recommender recommender-system content-based-filtering content-based-recommendation random-recommendations search-algorithm
Language:Python 2
bhavyanarang / Movie_Recommendation
Project was done as a part of Machine Learning (CSE343) at IIIT Delhi.
machine-learning sklearn python content-based-filtering dimensionality-reduction clustering similarity-metric
Language:Jupyter Notebook 2
d-elicio / Music-Recommender-System-from-scratch
Design and implementation from scratch of different models for a musical recommendation system
collaborative-filtering content-based-filtering content-based-recommendation lastfm-dataset machine-learning machine-learning-algorithms million-song-dataset music music-recommendation music-recommendation-system python python-3 python3 recommendation-system recommender-system svd-factorization
Language:Jupyter Notebook 2
iamrajatroy / movys
Movie recommendation app using content-based filtering. Data provided by TMDb.
tmbd themoviedb java spring-boot spring-mvc angular python3 python recommender-system content-based-filtering content-based-recommendation java-8 jpa derby-database docker docker-compose machine-learning natural-language-processing
Language:Jupyter Notebook 2
Kavya2099 / recommendation-system
Creating recommendation system with #project-of-the-week in DataTalks.Club
collaborative-filtering content-based-filtering content-based-recommendation recommendation-system recommender-system
Language:Jupyter Notebook 2
Maoelan / indonesia-tourism-destination-recommendation
Dicoding Submission Machine Learning Terapan - Final project Indonesia Tourism Destination - Recommendation System
collaborative-filtering content-based-filtering dicoding-submission google-colaboratory jupyter-notebook machine-learning modeling python recommendation-system submission-dicoding
Language:Jupyter Notebook 2
OpenReqEU / eclipse-issue-prioritizer
WP3 - Recommendation of Prioritized Requirements
recommender-systems content-based-recommendation content-based-filtering keywords-extraction
Language:Python 2
PhamThe-KHDL / DS300.N11-Recommendation-System
DS307.N11 - Hệ Khuyến Nghị
recomendation-system beautifulsoup collaborative-filtering content-based-filtering hotel-booking selenium
Language:Jupyter Notebook 2
poojasrini / Customer-fashion-product-recommender-system
Developed recommendation pipelines leveraging content-based and collaborative filtering to present top n customer recommendations from user items and customer purchase histories. Alternatively, image similarity recommendations were generated using k means clustering and Neural Networks (NNs) from product images.
clustering-algorithm colloborative-filtering content-based-filtering exploratory-data-analysis mobilenetv2-model recommendation-system vgg16-model
Language:Jupyter Notebook 2
richardoey / vector-space-model-skripsi
Back End Coding for Final Project for "Implementation of Content-Based Filtering on Books Recommendation Application Using Vector Space Model <Case Studi: UMN Library>"
vector-space-model book-recommender tf-idf text-mining cosine-similarity content-based-filtering
Language:PHP 2
SBwho / Movie-Recommendation-System
Movie Recomendation System is a movie recommender system using the TMDB 5000 Movie Dataset on Kaggle. Main goal of this system is to develop essential skills in data handling, exploratory data analysis, and model building
content-based-filtering cosine-similarity demographic-filtering idbm-reviews ipynb kaggle machine movie-recommendation python sklearn
Language:Jupyter Notebook 2
schatzederwelt / library-recommendation-system
Проект создания рекомендательной системы для библиотеки
als-algorithm bayesian-personalized-ranking collaborative-filtering content-based-filtering cosine-similarity hybrid-recommender-system implicit recommendation-system tf-idf csr-matrixes rank-fm matrix matrix-factorization factroization-machines
Language:Jupyter Notebook 2
shadowbourne / CACBCF-Recommender-System
3rd Year: 1st - 92. A Novel Context Aware Restaurant Recommender System Using Content-Boosted Collaborative Filtering (CACBCF).
collaborative-filtering content-based-filtering content-based-recommendation context-aware-recommender-system recommender-system restaurant-recommendation yelp-dataset
Language:Python 2
AxelSeanCP / Anime-Recommender-System
A Project from Dicoding's Machine Learning Expert Class. Recommender System for Anime using Content-Based Filtering and Collaborative Filtering
collaborative-filtering content-based-filtering machine-learning machine-learning-project recommender-system python
Language:Jupyter Notebook 1
devidutta-learn / movie-recommender-system
This code and data create a movie recommender system using content based filtering and cosine similarity. It uses the features of movies (genre, crew, etc.) to find and suggest similar movies to users.
content-based-filtering cosine-similarity machinelearning-python movie-recommendation-system tmdb-data
Language:Jupyter Notebook 1
siniekoo19 / Content-Based-Movie-Recommandation-System
Movie Recommandation System Based on the item profile
content-based-filtering cosine-similarity recommander-system
Language:Jupyter Notebook 1
tohid-yousefi / Content_Based_Recommender_Systems
in this section will be content recommender systems on movies meta dataset
content-based-filtering content-based-recommendation python recommendation-system recommender-system rule-based
Language:Jupyter Notebook 1

content-based-filtering

SebastianRokholt / Hybrid-Recommender-System

archd3sai / News-Articles-Recommendation

anothermorena / nft-marketplace

Upasanadhameliya / Django-Movie-Recommendor

chen0040 / mxnet-recommender

pm390 / recsys2022

Irlll / anime-recommendation-system-content-based-filtering

RRaphaell / Movie_Recommendation

bumblebee26 / TheSocialComment-Challenge

mohsenMahmoodzadeh / book-crossing-recommender-system

devendrakushwah / recommendation-system-for-inter-related-content

shr1611 / Recommendation_Systems_study

soumyajit4419 / Movie_Recommender_System

hridayns / E-commerce-product-recommendation-system-integrated-with-Amazon-Echo-device

yyzz1010 / Recommendation_System_Allrecipes

ssabrut / book-recommender-system

GNDEC-Minor-Project-KGJ / book-recommendation-system

joffinjoy / o-horizon-recommendation

StivenMetaj / Recommender_Systems_Challenge_2020

AhmedShoeb0 / BooksRecommenderSystem

bhavyanarang / Movie_Recommendation

d-elicio / Music-Recommender-System-from-scratch

iamrajatroy / movys

Kavya2099 / recommendation-system

Maoelan / indonesia-tourism-destination-recommendation

OpenReqEU / eclipse-issue-prioritizer

PhamThe-KHDL / DS300.N11-Recommendation-System

poojasrini / Customer-fashion-product-recommender-system

richardoey / vector-space-model-skripsi

SBwho / Movie-Recommendation-System

schatzederwelt / library-recommendation-system

shadowbourne / CACBCF-Recommender-System

AxelSeanCP / Anime-Recommender-System

devidutta-learn / movie-recommender-system

siniekoo19 / Content-Based-Movie-Recommandation-System

tohid-yousefi / Content_Based_Recommender_Systems