SebastianRokholt/Hybrid-Recommender-System

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

Language: Jupyter Notebook - Size: 13.5 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 35 - Forks: 13

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

Language: Python - Size: 62.8 MB - Last synced at: 3 months ago - Pushed at: almost 5 years ago - Stars: 14 - Forks: 5

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: over 2 years ago - Pushed at: over 5 years ago - Stars: 13 - Forks: 9

chen0040/mxnet-recommender

Collaborative Filtering NN and CNN based recommender implemented with MXNet

Language: Python - Size: 120 MB - Last synced at: 3 months ago - Pushed at: about 7 years ago - Stars: 12 - Forks: 1

pm390/recsys2022

Code repo of solution of 11th place in Recsys Challenge 2022

Language: Jupyter Notebook - Size: 1.36 MB - Last synced at: 12 months ago - Pushed at: almost 3 years ago - Stars: 10 - Forks: 3

RRaphaell/Movie_Recommendation

Language: Jupyter Notebook - Size: 45.4 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 8 - Forks: 7

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

Proyek akhir recommendation system untuk membangun model machine learning yang dapat memberi top-N anime rekomendasi

Language: Jupyter Notebook - Size: 202 KB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 8 - Forks: 0

karenwky/Recommendation_System_Allrecipes

recommending recipes with content-based filtering approach

Language: Jupyter Notebook - Size: 8.58 MB - Last synced at: 3 months ago - Pushed at: 10 months ago - Stars: 7 - Forks: 3

soumyajit4419/Movie_Recommender_System

Recommending movies to user using various Colaborative Filtering and Content Based Filtering.

Language: Jupyter Notebook - Size: 3.12 MB - Last synced at: 2 months ago - Pushed at: over 5 years ago - Stars: 7 - Forks: 1

bumblebee26/TheSocialComment-Challenge

Posts/Feeds recommendation engine based on content based and collaborative filtering methods

Language: Jupyter Notebook - Size: 211 KB - Last synced at: over 2 years ago - Pushed at: about 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: almost 6 years ago - Stars: 6 - Forks: 4

mohsenMahmoodzadeh/book-crossing-recommender-system

A python notebook for building collaborative, content-based, and ml-based recommender systems with Sklearn and Surprise

Language: Jupyter Notebook - Size: 6.08 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 5 - Forks: 1

joffinjoy/o-horizon-recommendation

Reference repository for the O-Horizon Recommendation Engine featured in Neo4j Graphversation Episode 2

Language: JavaScript - Size: 15 MB - Last synced at: 3 months ago - Pushed at: about 2 years ago - Stars: 4 - Forks: 2

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

Language: Jupyter Notebook - Size: 11.7 KB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 4 - Forks: 1

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

Recommendation System for Amazon Alexa E-Commerce Application

Language: Python - Size: 6.84 KB - Last synced at: almost 2 years ago - Pushed at: about 6 years ago - Stars: 4 - Forks: 0

MaklonFR/Movie-Recomendation-System

Submision Dicoding Indonesia - Machine Learning Terapan (Movie Recomendation)

Language: Jupyter Notebook - Size: 681 KB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 3 - Forks: 0

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.

Language: Jupyter Notebook - Size: 29.8 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 3 - Forks: 0

rctruta/music_recommendation_system

Capstone Project for the Applied Data Science Program, MIT Professional Education

Language: Jupyter Notebook - Size: 887 KB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 2 - Forks: 0

hk-kumawat/Movie-Recommender-System

🎬 It helps you discover films. Search for your favorite movies, get a "Surprise Me" pick, and explore trending movies—all while viewing live details like posters, trailers, ratings, and cast information.

Language: Jupyter Notebook - Size: 15.6 MB - Last synced at: 4 months ago - Pushed at: 5 months ago - Stars: 2 - Forks: 0

CSFelix/recommendation-system-mba-usp-esalq

✨ Recommendation Systems Using Diverse Techniques ✨

Language: Jupyter Notebook - Size: 8.36 MB - Last synced at: 1 day ago - Pushed at: 6 months ago - Stars: 2 - Forks: 0

AxelSeanCP/Anime-Recommender-System

A Project from Dicoding's Machine Learning Expert Class. Recommender System for Anime using Content-Based Filtering and Collaborative Filtering

Language: Jupyter Notebook - Size: 776 KB - Last synced at: 3 months ago - Pushed at: 9 months ago - Stars: 2 - Forks: 0

Maoelan/indo-tour-recommend

Dicoding Submission Machine Learning Terapan

Language: Jupyter Notebook - Size: 454 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 2 - Forks: 0

PhamThe-KHDL/DS300.N11-Recommendation-System

DS307.N11 - Hệ Khuyến Nghị

Language: Jupyter Notebook - Size: 39.7 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

CSFelix/recommendation-system

✨ Recommendation Systems Using Diverse Techniques ✨

Language: Jupyter Notebook - Size: 27.4 MB - Last synced at: 2 days ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

Juwono136/book-recommendation-system-using-content-based-filtering-and-collaborative-filtering

Book recommendation system using model development with Content-Based Filtering and Collaborative Filtering techniques.

Language: Jupyter Notebook - Size: 24 MB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 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

Language: Jupyter Notebook - Size: 41 KB - Last synced at: 4 months ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 0

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.

Language: Jupyter Notebook - Size: 22.4 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

AhmedShoeb0/BooksRecommenderSystem

A simple books recommender system that provides the functionality to ask for books recommendations or search for them using various options.

Language: Python - Size: 9.38 MB - Last synced at: 11 months ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0

easonlai/content_based_product_recommendation_samples

The sample code repository leverages Azure Text Analytics to extract key phrases from the product description as additional product features. And perform text relationship analysis with TF-IDF vectorization and Cosine Similarity for product recommendation.

Language: HTML - Size: 118 KB - Last synced at: 5 months ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 1

bhavyanarang/Movie_Recommendation

Project was done as a part of Machine Learning (CSE343) at IIIT Delhi.

Language: Jupyter Notebook - Size: 2.62 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 2

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 at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 1

OpenReqEU/eclipse-issue-prioritizer

WP3 - Recommendation of Prioritized Requirements

Language: Python - Size: 53 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0

artisandhq/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>"

Language: PHP - Size: 3.55 MB - Last synced at: 25 days ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0

StivenMetaj/Recommender_Systems_Challenge_2020 Fork of SamueleMeta/recommender-systems

Repository for the Recommender Systems Challenge 2020/2021 @ PoliMi

Language: Python - Size: 7.43 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0

iamrajatroy/movys

Movie recommendation app using content-based filtering. Data provided by TMDb.

Language: Jupyter Notebook - Size: 98.5 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 0

HrishikeshSuchindra/Tamil-Movie-Recommendation-System-using-NLP

A content-based movie recommendation system using Natural Language Processing (NLP) techniques on Tamil movie reviews. The system utilizes TF-IDF vectorization and cosine similarity to suggest movies based on user preferences or input reviews.

Language: Jupyter Notebook - Size: 7.65 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

RedDotz20/news-content-recommender-system

📰 ArticleHorizon is a smart news article recommender webapp that helps users discover relevant and engaging content tailored to their interests.

Language: TypeScript - Size: 1.56 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

docsallover/music-recommendation

Machine Learning Music Recommendation System: Hybrid Approach (Content & SVD) with Flask

Language: Python - Size: 4.08 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

vsancnaj/Hybrid-Recommendation-System

A hybrid recommendation system combining Item-Based Collaborative Filtering and Content-Based Filtering to suggest skincare products based on user preferences, product ingredients, and ratings. Features a Flask API and an interactive Streamlit Web App for personalized recommendations.

Language: Jupyter Notebook - Size: 20.5 KB - Last synced at: 5 days ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

ChoukriLach/Movie-Recommendation-Systems

Build movie recommender systems with a collaborative filtering approach and a content-based deep learning method

Language: Jupyter Notebook - Size: 3.07 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

gerinsp/Movie-Recommendation-System

Developed a Movie Recommendation System using content-based filtering and collaborative filtering to suggest personalized movie recommendations.

Language: Jupyter Notebook - Size: 299 KB - Last synced at: 14 days ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

yajasarora/Movie-Recommendation-Model-using-NLP-Techniques

A content-based movie recommendation model using NLP techniques to analyze and suggest movies based on metadata like genres, keywords, and plot summaries.

Language: Jupyter Notebook - Size: 8.74 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

convenience-tinashe-chibatamoto/Movie-Recommendation-System

A movie recommendation system using IMDb's weighted ratings and custom filters.

Language: Jupyter Notebook - Size: 112 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

siniekoo19/Content-Based-Movie-Recommandation-System

Movie Recommandation System Based on the item profile

Language: Jupyter Notebook - Size: 1.05 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

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.

Language: Jupyter Notebook - Size: 1.94 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

MChatzakis/DIS-RecommenderSystem

Movie Recommendations over the MovieLens dataset using Matrix Factorization

Language: Jupyter Notebook - Size: 65.5 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

Deepali-14/Movies-Recommender-System

Content-Based Recommender System recommends movies similar to the movie user likes based on genres, director, actors, etc. Used for recommending movies, music, books etc.

Language: Jupyter Notebook - Size: 8.71 MB - Last synced at: 4 months ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

Zabatly/AI

Recommender and Chatbot Systems

Language: Python - Size: 36.2 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

AlimU11/Anime-Recommender

Anime recommender system for Anilist user profiles and individual titles

Language: Python - Size: 12.1 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

Grace-Hephzibah/Tasty-Foods

Team: SolveAI -> Solo Project - SheBuilds Hackathon.

Language: Python - Size: 135 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

ojasvi004/News-Recommendation-System

The News Article Recommendation System is a project designed to provide personalized article recommendations based on the content of news headlines.

Language: Jupyter Notebook - Size: 107 KB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

smsraj2001/SOCIAL-NETWORK-ANALYSIS-NEO4J

A simple demonstration of Social Network Analysis on twitter database and movie database

Size: 2.09 MB - Last synced at: 5 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

schatzederwelt/library-recommendation-system

Проект создания рекомендательной системы для библиотеки

Language: Jupyter Notebook - Size: 4.13 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 1

abhakta-47/movie-recommendation

movue recommendation systen project

Language: Jupyter Notebook - Size: 34.3 MB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

evelyncy96/Movie-Recommendation-System

We create movie recommendation system through demographic filtering, content-based filtering, collaborative filtering, and hybrid engine.

Language: Python - Size: 104 KB - Last synced at: about 2 months ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

SwathiPrathaa/MovFlix

Movie Recommendation System

Language: Jupyter Notebook - Size: 1.05 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

shazm12/Movie-Recommendation-System-Using-a-Hybrid-Approach

The problem I have picked for the project is to design and train an efficient movie recommendation model which will recommend movies to users based on the User interaction matrix which would contain the user details with the movies the users liked and vice versa. Also, I will design another model which will recommend movies based on the context, title, genre, and such other attributes of the movies liked by the user and would recommend similar movies to the user.

Language: Jupyter Notebook - Size: 863 KB - Last synced at: 2 months ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

AhmedShoeb0/MovieRecommenderSystem

A simple movie recommender system that uses two main approaches to make recommendations: Content-based algorithm and Collaborative filtering algorithm (User-based).

Language: Python - Size: 14.3 MB - Last synced at: 11 months ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

DiegoCorrea/ouvido_musical-Back

Repositório do artigo: http://seer.upf.br/index.php/rbca/article/view/10047

Language: Python - Size: 77.5 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

sumanthvrao/MovieBuddy

Movie recommendation system to find common movie interests among a group of people.

Language: Jupyter Notebook - Size: 19.6 MB - Last synced at: 5 months ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 2

fangyiyu/Recommendation_Systems

Recommendation system tasks

Language: Jupyter Notebook - Size: 179 KB - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0

rooom13/recommendation-system-thesis

Recommendation Systems thesis. This repository contains the development of the evaluation of three recommendations system methods: Collaborative Filtering, Content Based and Hybrid.

Language: Python - Size: 21.1 MB - Last synced at: 4 months ago - Pushed at: almost 6 years ago - Stars: 1 - Forks: 0

YernintiRevathi/Movie_recommendation

🎬 Movie Recommendation System | AI-Powered Cinematic Curator Step into the future of personalized cinema with this intelligent Movie Recommendation System—a project designed to feel less like code and more like a conversation with your favorite film critic.

Language: Python - Size: 1000 Bytes - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

Janviswa/Movie-Recommender-System

A sleek Streamlit-based movie recommendation system using content-based filtering and TMDB API integration for trailers, posters, and ratings.

Language: Jupyter Notebook - Size: 10.5 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

mlkav/movie-recommendation-system

Language: HTML - Size: 400 KB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 0 - Forks: 0

fiyandamamuri/Content-Based-Filtering-for-Products-Recommendation

Sistem Rekomendasi Produk menggunakan Content-Based Filtering dari dataset BigBasket. Menggunakan TF-IDF & Cosine Similarity untuk menyarankan produk serupa.

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 0 - Forks: 0

Vankudoth-Saipriya/Restaurant-Recommendation_system

A content-based Restaurant Recommendation System using TF-IDF and cosine similarity. Built with Python, enhanced with search & rating features, and deployed via Streamlit.

Language: Python - Size: 81.1 KB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 0 - Forks: 0

albertruaz/Recommendation-System

Language: Python - Size: 11.5 MB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 0 - Forks: 0

Prajjwal6969/Recommender-System-using-Python

A collection of content-based recommendation systems for songs and movies using Python and machine learning.

Language: Jupyter Notebook - Size: 9.2 MB - Last synced at: 1 day ago - Pushed at: 24 days ago - Stars: 0 - Forks: 0

PsiPJ/movie-recommender

A hybrid content-based and collaborative filtering movie recommender system built using Python and Jupyter. Notebook. Designed for showcasing recommender system skills and end-to-end ML workflow.

Language: Jupyter Notebook - Size: 7.34 MB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 0 - Forks: 0

saadamir1/mericloset

MeriCloset: Smart fashion discovery across multiple brands

Language: TypeScript - Size: 5.11 MB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 0 - Forks: 0

bangaji313/Recommender-System-MovieLens

Proyek Sistem Rekomendasi Film dengan Content-Based & Collaborative Filtering. Submission untuk modul Machine Learning Terapan di Coding Camp 2025.

Language: Jupyter Notebook - Size: 1.52 MB - Last synced at: 20 days ago - Pushed at: 29 days ago - Stars: 0 - Forks: 0

sabin74/movie_recommendation_system

A Python-based movie recommendation engine built using the MovieLens Dataset that supports:

Language: Jupyter Notebook - Size: 1.26 MB - Last synced at: 20 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

imtej/Recipe-Reccomendation-System

A personalized recipe recommendation system leveraging TF-IDF encoding and Content-Based filtering technique for dynamic recipe suggestions.

Language: Jupyter Notebook - Size: 878 KB - Last synced at: 20 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

AadrianLeo/Book-Recommendation-System

Book Recommender System using the Book-Crossing dataset. Compares content-based (TF-IDF + cosine similarity) and collaborative filtering (SVD) methods for book recommendations. Includes data cleaning, EDA, and model evaluation (Precision@5, RMSE) in Python.

Language: Jupyter Notebook - Size: 59.7 MB - Last synced at: 10 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

vb8146649/Movie-Recommender-System

The Movie Recommend System is a content-based movie recommendation engine that suggests similar films based on user input. Simply enter the name of a movie you like, and the system will return a curated list of titles that match its themes, genres, or style.

Language: Python - Size: 3.87 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

Sravyatogarla/Movie-recommendation-system

A complete Movie Recommendation System project implementing Popularity-Based, Content-Based, and Collaborative Filtering models using the MovieLens dataset. Built with Python, Pandas, and Plotly, featuring interactive inputs and visualizations.

Language: Jupyter Notebook - Size: 1.1 MB - Last synced at: 10 days ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

vb8146649/Book-Recommend-System

The Book Recommendation System is a content-based filtering project built using Python. It suggests books similar to a user’s input by analyzing textual features like the title, author, genre, and description. This system aims to help readers discover books that match their interests and reading preferences.

Language: Python - Size: 2.93 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

mozayed007/Media-Recommender

A recommendation system for Media Cross Types and Genres

Language: Jupyter Notebook - Size: 148 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

al4744/rec-system

🎵 A Python-based content recommendation system using ML algorithms and matrix factorization techniques to analyze 600k-song dataset. Combines SVD, NMF, Factorization Machines, and Direct Similarity for personalized music suggestions. Handles cold start, optimizes with weighted similarity, and includes tools for visualization & evaluation.

Language: Jupyter Notebook - Size: 1.93 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

vishal220703/Book-Recommender-System

A Flask-based book recommendation system that suggests similar books using collaborative filtering and precomputed similarity scores.

Language: Jupyter Notebook - Size: 65.2 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

Shaik-Suhail/Book-Recommendation-System

A simple Book Recommendation System that suggests books to users based on similarity scores using content-based filtering. Built with Python, it helps users discover books they might enjoy by analyzing features like title, author, and genre.

Size: 12.8 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

cerqueiraa23/Spotify-Powered-Music-Recommendation-System

A hybrid music recommendation system using Spotify API and Python. Combines audio feature analysis with popularity weighting to suggest personalized tracks.

Size: 3.91 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

HanugaFathurC/book-recommendation-system-ml

An intelligent book recommendation system using machine learning. The system is built with Content-Based Filtering (TF-IDF + Cosine Similarity) and Collaborative Filtering (RecommenderNet with deep learning) to suggest personalized book recommendations.

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

zavarujs/EAFC-2025-Hybrid-Recommendation-System-

Language: Jupyter Notebook - Size: 2.02 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

abburi33/Spotify-Powered-Music-Recommendation-System

A hybrid music recommendation system using Spotify API and Python. Combines audio feature analysis with popularity weighting to suggest personalized tracks.

Size: 1.95 KB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Mohabdo21/HybridRec-ContextEnrichment

An advanced hybrid recommendation system that combines collaborative filtering and content-based filtering approaches, enhanced with temporal awareness and contextual personalization

Language: Python - Size: 2.49 MB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

BigBeanTheory/Movie-Recommendation-System

A Streamlit-based web app that suggests movies using a content-based filtering model, built with Python, Pandas, and Scikit-learn. Leverages TMDB data to recommend films based on genres, keywords, cast, and crew, with posters fetched via API.

Language: Jupyter Notebook - Size: 9.59 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

philiptitus/Collaborative-Book-Recommender

Made use of the content-based filtering algorithm to make a book recommender model

Language: Jupyter Notebook - Size: 10.7 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

prince7711sharma/Movie-Recommender

Movie Recommendation System This repository contains a Python-based Movie Recommendation System that leverages Machine Learning and Vectorization methods such as TF-IDF to recommend movies based on content similarity. The system processes datasets containing movie information like titles, genres, and descriptions to generate accurate and efficient

Language: Jupyter Notebook - Size: 8.67 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

gargibendale/MyntraFit

Language: Jupyter Notebook - Size: 8.22 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Sourabh-Kumar04/Raso-movie-recommendation

Raso Movie Recommendation System is an AI-powered web application that suggests movies based on user preferences, genres, ratings, and similarity scores. It leverages machine learning techniques to enhance recommendations.

Language: Jupyter Notebook - Size: 8.67 MB - Last synced at: 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

raquelanamb/harmonaic

A music recommendation assistant.

Language: Python - Size: 26.8 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 1

anwesha0123/Unsupervised_Learning_Practice

This repository contains a collection of unsupervised learning projects leveraging machine learning techniques such as clustering, dimensionality reduction, and anomaly detection. These projects are designed to extract meaningful insights from unlabeled data using algorithms like K-Means, DBSCAN, PCA, Autoencoders, and more.

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

guidasneves/spotify_recsys

End-to-end Spotify recommendation system

Language: Jupyter Notebook - Size: 4.94 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

yash1th-yerra/Hybrid-Model-Movie-Recommendation-System

This is an extension project to Movie-Recommendation-System https://github.com/yash1th-yerra/Movie-Recommendation-System.

Language: Jupyter Notebook - Size: 1.01 MB - Last synced at: about 2 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

razamehar/Movie_Recommendation_System

This project employs multiple recommendation techniques, including popularity-based ranking with Bayesian averages, content-based suggestions using cosine similarity, and collaborative filtering via the Surprise library.

Language: Python - Size: 14.2 MB - Last synced at: 4 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

Rohansoni45/movie-recommendation-system

This project is a Content-Based Recommender System that suggests movies to users based on their preferences and watched history. The system leverages cosine similarity to find and recommend movies similar to a selected title. It is built using Python and libraries like Pandas, NumPy, and Scikit-learn.

Language: Python - Size: 2.06 MB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

SciddhantoSinha/Book-Recommender-System-Using-Collaborative-Filtering

This project implements a book recommendation system using machine learning techniques. It helps users find books based on preferences, book ratings, and similarity measures.

Language: Jupyter Notebook - Size: 17 MB - Last synced at: 4 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

jnopareboateng/Lhydra_rs

Journey detailing Lhydra Hybrid Music Recommender System

Language: Jupyter Notebook - Size: 379 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0