Ecosyste.ms: Repos
An open API service providing repository metadata for many open source software ecosystems.
GitHub topics: content-based-recommendation
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 22 hours ago - Pushed: about 23 hours ago - Stars: 1 - Forks: 0
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
HKUDS/LLMRec
[WSDM'2024 Oral] "LLMRec: Large Language Models with Graph Augmentation for Recommendation"
Language: Python - Size: 3.66 MB - Last synced: 2 days ago - Pushed: 7 days ago - Stars: 255 - Forks: 35
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
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
andreeaiana/newsreclib
PyTorch-Lightning Library for Neural News Recommendation
Language: Python - Size: 617 KB - Last synced: 10 days ago - Pushed: 10 days ago - Stars: 30 - Forks: 4
gabrielSantosLima/savor
π½ A Web App to recommend food recipes
Language: TypeScript - Size: 28.1 MB - Last synced: 10 days ago - Pushed: 10 days ago - Stars: 1 - Forks: 1
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
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
zenklinov/IBM_Machine_Learning_Capstone
Language: Jupyter Notebook - Size: 3.25 MB - Last synced: 20 days ago - Pushed: 20 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
jOhNeX2017/recommendations_system_methods
This repository contains the content-based & collabroative filtering methods of a recommendation system
Language: Python - Size: 9.57 MB - Last synced: 22 days ago - Pushed: about 4 years ago - Stars: 1 - Forks: 0
Dantusaikamal/Movie-Recommendation-System
A content-based recommendation system to recommend movies from over 50,000 movies.
Language: Jupyter Notebook - Size: 418 KB - Last synced: 22 days ago - Pushed: almost 2 years ago - Stars: 1 - 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
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: 23 days ago - Pushed: 24 days ago - Stars: 0 - Forks: 0
ns-nexus/Movie-Recommender-System
Movie Recommender System leverages a content-based approach, suggesting films to users based on the attributes of movies they have previously enjoyed. By analyzing movie metadata such as genre, cast, director, keywords, etc., this project offers personalized recommendations aligned with users' cinematic tastes.
Language: Jupyter Notebook - Size: 19.7 MB - Last synced: 25 days ago - Pushed: 25 days ago - Stars: 0 - Forks: 0
Srijha09/Rhythmify
Spotify Recommendation System and Music Analytics
Language: HTML - Size: 72.7 MB - Last synced: 28 days ago - Pushed: 7 months ago - Stars: 3 - Forks: 1
ahmadsotoude/Movie_Recommendation_ContentBased
Content-Based Movie Recommendation System
Language: Jupyter Notebook - Size: 206 KB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 1 - Forks: 0
ArmandoGaGo/Music-Recommendation-System
Build a recommendation system to propose the top 10 songs for a user based on the likelihood of listening to those songs.
Language: Jupyter Notebook - Size: 813 KB - Last synced: about 1 month ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0
manikantareddychamala/MOVIE-RECOMMENDER-SYSTEM-IN-DATA-SCIENCE-ML-
This repository contains mini projects inData science in python with notebook files
Language: Jupyter Notebook - Size: 1.05 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 1 - Forks: 0
swapUniba/ClayRS
Complexly represent contents, build recommender systems, evaluate them. All in one place!
Language: Python - Size: 32.5 MB - Last synced: 29 days ago - Pushed: 3 months ago - Stars: 32 - Forks: 3
AquibPy/movie-recommender-system
This project is a Movie Recommender System built with Python and Streamlit. It uses BERT embeddings and cosine similarity to recommend movies that are similar to a selected movie.
Language: Jupyter Notebook - Size: 82.6 MB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 0 - Forks: 0
vikramsh2002/VRL_Movie_Recommender_System_WebApp
It is a web app for movie recommendation
Language: Python - Size: 9.85 MB - Last synced: about 2 months ago - Pushed: over 1 year ago - Stars: 1 - Forks: 0
pngo1997/Yelp-Recommendation-System
Item-based Collaborative Recommendation System using Embeddings, Yelp dataset. Recommend user establishments based on queries.
Language: HTML - Size: 1.96 MB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 1 - Forks: 0
MaurizioFD/RecSys2019_DeepLearning_Evaluation
This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.
Language: Python - Size: 216 MB - Last synced: about 2 months ago - Pushed: 12 months ago - Stars: 981 - Forks: 250
pngo1997/Link-Analysis-Recommender-System
Link Analysis - Page Rank algorithms & Content-based Recommender System.
Language: HTML - Size: 275 KB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 0 - Forks: 0
kirk86/cbires
Content Image Retrieval System
Language: PHP - Size: 29.5 MB - Last synced: about 2 months ago - Pushed: over 8 years ago - Stars: 1 - Forks: 1
yadavrajsky/Movie-Recommendation-System
Movie Recommender System built with content-based filtering using Streamlit. Provides personalized movie recommendations based on user preferences and movie features.
Language: Jupyter Notebook - Size: 8.69 MB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 0 - Forks: 0
obadakhalili/recommender-system
Practicing traditional filtering approaches for recommender systems on Kaggle expedia-hotel-recommendations problem | University Project
Language: Jupyter Notebook - Size: 425 KB - Last synced: about 2 months ago - Pushed: about 2 years ago - Stars: 0 - Forks: 0
sjhaluck/Recommendations-for-IBM-Community
(Udacity Data Scientist Nanodegree Project) Recommendation functions for collaborative filtering and content-based recommendations
Language: HTML - Size: 4.08 MB - Last synced: about 2 months ago - Pushed: over 3 years ago - Stars: 1 - Forks: 0
stanleyfok/content-based-recommender
A simple content-based recommender implemented in javascript
Language: JavaScript - Size: 521 KB - Last synced: 14 days ago - Pushed: over 1 year ago - Stars: 59 - Forks: 20
singultek/recommender_system
The project is about building a concrete recommender system by using Content-Based and Collaborative Filtering Based approaches
Language: Python - Size: 943 KB - Last synced: about 2 months ago - Pushed: almost 3 years ago - Stars: 1 - Forks: 0
mfathul21/food-recomendations
Foods Recomedation System With Content Based Filtering and Collaborative Filtering
Language: Jupyter Notebook - Size: 794 KB - Last synced: about 2 months ago - Pushed: 2 months ago - Stars: 0 - Forks: 0
azita4/NextRead
NextRead is a book recommender system created specifically for book readers. It allows a user to get personalised recommendation with a user-friendly interface. This is my final year project.
Language: HTML - Size: 34.2 MB - Last synced: 2 months ago - Pushed: 2 months ago - Stars: 0 - Forks: 0
saikrishnabudi/Music-Recommendation-System-Project
Data Science/Machine Learning Project
Language: Jupyter Notebook - Size: 6.79 MB - Last synced: 2 months ago - Pushed: 2 months ago - Stars: 0 - Forks: 0
Sonny-Inkai/HOTEL-RECOMMENDATION-SYSTEM
Language: Jupyter Notebook - Size: 141 MB - Last synced: 18 days ago - Pushed: 3 months ago - Stars: 4 - Forks: 0
sonadukane18/Music_Recommendation_System
A Personalized music recommendation system that suggests tracks, albums, and playlists based on user preferences and listening history, enhancing the music discovery experience.
Language: Jupyter Notebook - Size: 95.7 KB - Last synced: 2 months ago - Pushed: 2 months ago - Stars: 0 - Forks: 0
RohanKaran/MovieBuzz
It is a content based movie recommendations web app. Based on the user input, it recommends similar movies/webseries to the user using machine learning.
Language: JavaScript - Size: 1.93 MB - Last synced: 15 days ago - Pushed: 5 months ago - Stars: 10 - Forks: 3
fatihilhan42/Movie_Recommendation_System
This project includes a system that provides personalised movie recommendations to movie lovers. Using TF-IDF and cosine similarity algorithms, it finds similar films based on a user-selected film title.
Language: Jupyter Notebook - Size: 10.9 MB - Last synced: 2 months ago - Pushed: 2 months ago - Stars: 0 - Forks: 0
Sarthak-Mohapatra/Recommendation-Engine--Similar-apps-on-Google-Play-Store
As part of this project, I have built a Recommendation Engine for suggesting similar apps from Google Play store to an Andriod user. I have used content based recommendation system for developing the recommendation Engine.
Language: Jupyter Notebook - Size: 2.28 MB - Last synced: 3 months ago - Pushed: almost 4 years ago - Stars: 4 - Forks: 0
wandb/wandb-content-navigator
LLM-powered RAG slackbot and endpoint to suggest Weights & Biases content
Language: Python - Size: 787 KB - Last synced: 3 months ago - Pushed: 3 months 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: 18 days ago - Pushed: about 2 years ago - Stars: 1 - Forks: 1
tohid-yousefi/Content_Based_Recommender_Systems
in this section will be content recommender systems on movies meta dataset
Language: Jupyter Notebook - Size: 9.77 KB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 0 - Forks: 0
ipekdogabedirhan/Content_Based_Recommenders
In this section, we will create a recommendation system on the movie meta dataset.
Language: Jupyter Notebook - Size: 11.7 KB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 0 - Forks: 0
Solfty2/Content_Based_Recommender_Systems
in this section we will be content recommender systems on movies dataset
Language: Jupyter Notebook - Size: 10.7 KB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 1 - Forks: 0
czarinagluna/retail-product-recommender-engine
Predicting user preferences and ratings to create item recommendations using content-based and collaborative filtering systems
Language: Jupyter Notebook - Size: 60.8 MB - Last synced: 3 months ago - Pushed: about 2 years ago - Stars: 1 - Forks: 0
The-Automation-Agency/taskhero-ai
TaskHero is an innovative Google Workspace Add-on designed to enhance productivity and creativity within Google Docs and Google Sheets.
Language: HTML - Size: 14.6 KB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 0 - Forks: 0
kareemindata/Book-Recommendation-System Fork of Mostafanofal453/Book-Recommendation-System
Book-Recommendation-System based on Content-Based and Collaborative Filters
Size: 3.76 MB - Last synced: 3 months ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0
RalphGradien/HomeWorkoutRecommendations
This Python-based web application, built on the Flask platform, utilizes a powerful Content-Based Filtering Algorithm to provide personalized excercise recommendations based on user preferences and historical interactions.
Language: Python - Size: 92.6 MB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 1 - Forks: 0
yvesaur/recome
Personalized news website with News Recommender using Filtering algorithm, CNN, and NLP
Language: JavaScript - Size: 302 MB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 1 - Forks: 0
sjwan01/movie-recommender
An end-to-end content-based TMDB movie recommendation engine developed using PySpark, Flask, and Angular.
Language: TypeScript - Size: 68.6 MB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 0 - Forks: 0
ArshdeepSingh98/Movie-Recommendation-Systems-Analysis Fork of ChiragJRana/SWM_Course_Project_Group2
This project explores movie recommendation systems and evaluation on a dataset of 100 million Netflix customer ratings. It covers recommendation methods including context and content based ones and provides a user-friendly web interface to provide user to enter movie/user id to get recommendations of similar movies.
Language: Jupyter Notebook - Size: 59.4 MB - Last synced: about 1 month ago - Pushed: 7 months ago - Stars: 0 - Forks: 0
rishi-vakharia/Trip-Recommender-System
Recommeds the cities you should visit next based on your travel history.
Language: Jupyter Notebook - Size: 1.34 MB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 0 - Forks: 0
Jess607/Tourism-Spot-Recommendation-System
This is a hybrid recommender system that combines the paradigms of content based filtering(using gradient boosting regressor) and collaborative filtering to recommend destination spots for users/tourists based on their demography and spots liked by tourists with similar demography and likes.
Language: Jupyter Notebook - Size: 4.39 MB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 0 - Forks: 0
kanugurajesh/Movie-Recommendation-System
A saas based application to recommend movies
Language: Jupyter Notebook - Size: 125 KB - Last synced: 4 months ago - Pushed: 6 months ago - Stars: 6 - Forks: 0
egemenzeytinci/foxandbox
Content based movie recommendation system
Language: Python - Size: 3.4 MB - Last synced: about 1 month ago - Pushed: 4 months ago - Stars: 2 - Forks: 0
Salmaishak/RecommendationModel
Python scripts that implement collaborative filtering using Matrix Factorization with Alternating Least Squares (MF-ALS) for hotels and restaurants, Restricted Boltzmann Machines (RBM) for attractions, and content-based filtering using cosine similarity for the "More Like This" feature.
Language: Python - Size: 9.32 MB - Last synced: 4 months ago - Pushed: 11 months ago - Stars: 3 - Forks: 2
r-i-c-h-a/Recipe_Generator
Language: Python - Size: 26.2 MB - Last synced: 5 months ago - Pushed: almost 4 years ago - Stars: 0 - Forks: 0
MaliciousMonk45456/Recommendation-System
Building a recommendation system using both collaborative filtering and content-based filtering
Language: Jupyter Notebook - Size: 1.47 MB - Last synced: 5 months ago - Pushed: 5 months ago - Stars: 0 - Forks: 0
ManishaLagisetty/Travel-Recommendation-System
Machine Learning, Python
Language: Jupyter Notebook - Size: 10.3 MB - Last synced: 5 months ago - Pushed: 5 months ago - Stars: 0 - Forks: 0
Harshvardhan1999/The-Movie-Cinema
Content-Based Recommender System recommends movies similar to the movie user likes and analyses the sentiments on the reviews given by the user for that movie.
Language: Jupyter Notebook - Size: 8.5 MB - Last synced: 5 months ago - Pushed: almost 3 years ago - Stars: 0 - Forks: 0
aniass/books-recommender-system
The books recommendation system using collaborative filtering and content-based filtering methods.
Language: Jupyter Notebook - Size: 437 KB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 2 - Forks: 0
jalajthanaki/Movie_recommendation_engine
This repository contains the code for building movie recommendation engine.
Language: Jupyter Notebook - Size: 7.02 MB - Last synced: 4 months ago - Pushed: about 6 years ago - Stars: 74 - Forks: 51
KalbeDigitalLab/emos-recsys
Recommendation System for EMOS Application
Language: Python - Size: 716 MB - Last synced: 5 months ago - Pushed: 5 months ago - Stars: 0 - Forks: 0
MrAalu/LibraryManagementSystem_MERN-with-Book-Recommendation-Algorithm
π Library Management System Full PROJECT (MERN Stack) β¨ with Book Recommendation System (Content-Based-Filtering) π₯
Language: JavaScript - Size: 8.01 MB - Last synced: 5 months ago - Pushed: 5 months ago - Stars: 1 - Forks: 0
Pavel-Polyanskiy/comics-recommendation-system
The repo contains the code for recommendation system using R.
Size: 2.35 MB - Last synced: 5 months ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0
AjNavneet/ContentBasedRecommendation_W2V_FastText_GloVe_Streamlit
Content based filtering and similarity based recommender System and Streamlit deployment.
Language: Jupyter Notebook - Size: 478 KB - Last synced: 5 months ago - Pushed: 5 months ago - Stars: 0 - Forks: 0
Eakta08/Movie-Recommendation-System
This is a project based on Recommendation System (Content-based) using Streamlit. Also performed Collaborative Filtering on the movies dataset.
Language: Jupyter Notebook - Size: 18.3 MB - Last synced: 5 months ago - Pushed: 5 months ago - Stars: 0 - Forks: 0
Praveen76/Recommendation-System-Interview-Prep-Guide
Explore the Recommendation System Interview Prep Guide! This GitHub repository provides curated interview questions and answers for Data Scientists. Elevate your knowledge of recommendation systems, navigate technical interviews with confidence, and succeed in the dynamic field of data science focused on recommendation system applications.
Size: 10.7 KB - Last synced: 5 months ago - Pushed: 5 months ago - Stars: 0 - Forks: 0
nes-prog/Recommendation-Bot
Recommendation bot
Language: Jupyter Notebook - Size: 11.4 MB - Last synced: 5 months ago - Pushed: 5 months ago - Stars: 0 - Forks: 0
kanugurajesh/Cine-Suggest
Your personalized movie guide. Tailored recommendations for your taste. Enjoy!
Language: TypeScript - Size: 101 KB - Last synced: 6 months ago - Pushed: 6 months ago - Stars: 1 - Forks: 0
Vismaya2811/UE20CS351-Data-Analytics-Project
Book recommendation system with Content-based filtering
Language: Jupyter Notebook - Size: 2.69 MB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 1 - Forks: 0
jalajthanaki/Job_recommendation_engine
This repository contains code how to build job recommendation engine using Kaggle 'Job Recommendation Challenge' dataset
Language: Jupyter Notebook - Size: 147 KB - Last synced: 4 months ago - Pushed: about 6 years ago - Stars: 51 - Forks: 42
PranjalAsthana/PickFlicks
AI based movie recommendation system using Content Based Filtering through Cosine Similarity Matrix.
Language: Jupyter Notebook - Size: 1.1 MB - Last synced: 5 months ago - Pushed: 5 months ago - Stars: 0 - Forks: 0
meetgajjarx07/Content-Based-Movie-Recommendation-System
Suggests movies based on features and user preferences using machine learning. Enhances user movie-watching experience by matching tastes.
Language: Jupyter Notebook - Size: 7.38 MB - Last synced: 6 months ago - Pushed: 6 months ago - Stars: 0 - Forks: 0
LuluW8071/Content-Filtering
Movie Recommendation | Content Filtering
Language: Jupyter Notebook - Size: 19.7 MB - Last synced: 6 months ago - Pushed: 6 months ago - Stars: 0 - Forks: 0
Yunanouv/Skin-Care-Recommender-System
Skin Care Recommender System Based on Skin Problems Using Content-Based Filtering
Language: Jupyter Notebook - Size: 4.39 MB - Last synced: 5 months ago - Pushed: 6 months ago - Stars: 1 - Forks: 0
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: 6 months ago - Pushed: almost 4 years ago - Stars: 12 - Forks: 5
Dechrissen/buzzrec
Recommendation engine for LingBuzz papers
Language: Python - Size: 630 KB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 7 - Forks: 0
Halucida/Hutansjaksjak
Hutan : Hii !
Language: Jupyter Notebook - Size: 41 KB - Last synced: 6 months ago - Pushed: 7 months ago - Stars: 0 - Forks: 0
minyansh7/RecommendationSystemProject
analyze the interactions that users have with articles on the IBM Watson Studio platform, and make recommendations on new articles they will like.
Language: HTML - Size: 9.93 MB - Last synced: 6 months ago - Pushed: almost 3 years ago - Stars: 0 - Forks: 0
amolratnaparkhe/Foodfinder-Recommendation-System
Food Finder: An interface for a multi-user recommendation system.
Language: Jupyter Notebook - Size: 827 KB - Last synced: 6 months ago - Pushed: about 3 years ago - Stars: 3 - Forks: 0
abdulhakkeempa/movie-recommender
A Django-based movie recommendation system built with Item-Item Collaborative Filtering and Content-Based Filtering with UI inspiration from Amazon Prime Video β€οΈ
Language: Jupyter Notebook - Size: 448 KB - Last synced: 6 months ago - Pushed: 6 months ago - Stars: 0 - Forks: 0
AkashBangalkar/Amazon-Apparel-Recommendations-System
Machine Learning - Content Based Recommendation System
Language: Jupyter Notebook - Size: 8.51 MB - Last synced: 6 months ago - Pushed: about 2 years ago - Stars: 0 - Forks: 1
bluemapleman/NewsRecommendSystem
δΈͺζ§εζ°ι»ζ¨θη³»η»οΌA news recommendation system involving collaborative filtering,content-based recommendation and hot news recommendation, can be adapted easily to be put into use in other circumstances.
Language: Java - Size: 2.18 MB - Last synced: 6 months ago - Pushed: almost 5 years ago - Stars: 709 - Forks: 279
VuBacktracking/Movie-Recommeder-System-Content-Based
Movie Recommender System Using Content-Based Method
Language: Jupyter Notebook - Size: 13.9 MB - Last synced: 7 months ago - Pushed: 7 months ago - Stars: 0 - Forks: 0
siddgood/podcast-recommendation-engine
:microphone: Building a content-based podcast recommender system using NLP
Language: Jupyter Notebook - Size: 143 MB - Last synced: 7 months ago - Pushed: over 1 year ago - Stars: 27 - Forks: 4
Nitin-Kaul-27/Recommendation-System
This Repository contains codes for Movie Recommendation System. Algorithms which are used for designing are Content Filtering, Collaborative Filtering and also the combined output of both. Coding is done in Python.
Language: HTML - Size: 41.1 MB - Last synced: 7 months ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0
REAtes/Content-Based-Recommendation
The goal of this project is to build a content-based movie recommender system. The system provides movie recommendations to users based on the content and descriptions of movies they have shown interest in.
Language: Python - Size: 11.8 MB - Last synced: 7 months ago - Pushed: 7 months ago - Stars: 0 - Forks: 0
sdikshant89/Content-Based-course-RS
Language: Jupyter Notebook - Size: 11.7 KB - Last synced: 7 months ago - Pushed: over 3 years ago - Stars: 1 - Forks: 0
khanhnamle1994/movielens
4 different recommendation engines for the MovieLens dataset.
Language: Jupyter Notebook - Size: 41.9 MB - Last synced: 6 months ago - Pushed: almost 5 years ago - Stars: 387 - Forks: 177
sharmaroshan/Movie-Recommendation-System
In this Movie Dataset I have used my Basic Knowledge of Recommendation Systems. I have used the Concept of Content -Based Recommendation System to Recommend that If a User Watched a Particular Movie than Which Other Movies He/She is going to like or watch.
Language: Jupyter Notebook - Size: 544 KB - Last synced: 7 months ago - Pushed: about 4 years ago - Stars: 5 - Forks: 2
ArazShilabin/movie-recommender-system
Language: Python - Size: 222 KB - Last synced: 7 months ago - Pushed: almost 3 years ago - Stars: 1 - Forks: 0
shakewingo/furniture-recommender-system
An end-to-end development of living room furniture recommender system based on both text and image Latent Dirichlet Allocation (LDA)
Language: Jupyter Notebook - Size: 74 MB - Last synced: 7 months ago - Pushed: almost 3 years ago - Stars: 5 - Forks: 1
Moutoussamy/Netflix_recommendation_system
Netflix Content-Based Recommendation System (CB-RS)
Language: Jupyter Notebook - Size: 6.54 MB - Last synced: 7 months ago - Pushed: over 3 years ago - Stars: 0 - Forks: 0
Edolor/E-commerce-Recommendation-System
An e-commerce web application built using django and django-rest-framework, embedded with a content-based recommendation system.
Language: Python - Size: 43.4 MB - Last synced: 7 months ago - Pushed: 7 months ago - Stars: 3 - Forks: 2
Mitali-Juvekar/Yoga_Recommender
This is a content-based recommendation system in python that recommends asanas similar to the user's.
Language: Jupyter Notebook - Size: 65.4 KB - Last synced: 7 months ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0
