reccomendersystem
There are 0 repository under reccomendersystem topic.
- funqLanguage:q 135
- Language:Python 21
EntireNewsProject / Android-App
A news application in Android that offers the recommended, summarized news articles in as short and crisp format from multiple news sources per user’s choice. Key Features: Recommendation System Engine (gives recommended news articles), NLP Summarization (gives a 5 sentence summarized for each articles), Popularity-based Trending System (to stay up-to date with the most popular news) and Multiple news sources to choose (Over 15 News Sources). Download the app at http://www.entirenews.tk and please share your feedback with us
Language:Java 15savinay / data-science-nanodegree-udacity
Projects for Udacity Data Scientist Nanodegree
Language:Jupyter Notebook 10thomasahle / cce
Clustered Compositional Embeddings
Language:Python 10krishangi-deka / Product-Personalization-Engine
A recommendation system for products using PySpark
Language:Jupyter Notebook 7albiboni / User-RecSys
Code for the project: "Analysis of Recommendation-systems based on User Preferences".
Language:Python 5HCoderTech / CourseRecommendationSystem
This is an implementation where content based and collaborative filtering recommendation methods are used for recommending courses.
Language:PHP 5IDB-FOR-DATASCIENCE / Data-Scientist-for-Enterprise-Nanodegree-Program
This repository has the solutions to multiple assignments done during the course on topics like supervised leering, deep learning
Language:Jupyter Notebook 4- Language:JavaScript 3
naashonomics / RecSys-Materials
Reccomender Sysstems with Sckit Surpirse
Language:Jupyter Notebook 3prakamya-mishra / M.A.R.S
A platform to connect music lovers across the globe!!
Language:Java 3Rishabhrv / Book-Reccomender-App
The Book Recommender System is a collaborative filtering-based approach that suggests personalized book recommendations based on user preferences and similarities. The system provides a user-friendly interface through Streamlit for an enhanced user experience.
Language:Jupyter Notebook 3- Machine_Learning_with_Python
Tarun-Kamboj / Machine_Learning_with_Python
Machine learning concepts implemented in python.
Language:Jupyter Notebook 3 AGiannoutsos / NMF-Recommendation-System
A Non Negative Matrix Factorization Recommendation System that suggests content for a social network application
Language:Jupyter Notebook 2burhanahmed1 / Recipe-Recommendor-using-PySpark
A smart recipe recommendation system that suggests recipes based on ingredient similarities. This project is done in PySpark
Language:Jupyter Notebook 2LeeIsBadK / AttRec-implement-project
Implement the Next Item Recommendation with Self-Attention (AttRec) model to the Recommenders 1.2.0 like format
Language:Python 2This is a content-based movie recommender system that utilizes machine learning and cosine similarity to suggest movies to users based on their preferences. The system uses the tmdb dataset and provides a user-friendly interface through Streamlit for an enhanced user experience.
Language:Jupyter Notebook 2- Language:Svelte 2
TulipAggarwal / Scrumptious-Suggestions
Scrumptious Suggestions is a data powered website that suggests it's users the best recipes based on their input ingredients.
Language:Jupyter Notebook 2asieroyan / EuskalFlixXANA
Este es un trabajo en grupo para la asignatura de Ingeniería del Software hecho por Xabier Bahillo, Nicolás Martín, Alain Fernández y Asier Oyanguren. Representa una web de recomendaciones de películas respecto a valoraciones recientes y valoraciones de usuarios con gustos parecidos.
Language:Java 1csk18-22 / book_recommendation_system
Mini project on book reccomendation system based on collaborative filtering method. The dataset used is 7k-books.
Language:Python 1dadegrande99 / MovielensRecommendationSystem
Creating a Recommendation System for Movielens100k.
Language:Jupyter Notebook 1dhruvsh1997 / Advance-DBScan_Clustering_4_DrugRecommedationSystem-Using-Deep-Learning---Collaborative_Filtering
This project develops a drug recommendation system using sentiment analysis of reviews. It employs Collaborative Filtering, Novel ADBScan Clustering, and a Deep Learning approach of BiLSTM with GWO optimization. The goal is to provide personalized medication recommendations by analyzing patients' profiles. dataset is "UCI ML Drug Review dataset."
Language:Jupyter Notebook 1empiricalresults / haro-python-sdk
Haro.ai Python Library
Language:Python 1fks-2702 / MyLibrary
MyLibrary is tool for managing your personal library and generating personalized reading suggestions and statistics
Language:JavaScript 1Guydada / MIND-Recommender-System-Project-Pytorch-TF-IDF--Deep-Learning
A reccomeneder engine using Microsoft MIND project
Language:Jupyter Notebook 1HondaPL / Recommending-Systems-Project
Content-Based Recommender - Adam Hącia 2022
Language:HTML 1Kool-Cool / Kool-Cool-Movie-Recommendations-Flask
The provided code snippet performs movie recommendation based on movie metadata using the TMDB Movie Metadata dataset from Kaggle.
Language:Python 1oscarcapote / MMSBM-calculator
Program to find the membership factors and the probabilities of connections in a bipartite network adding metadata to the nodes.
Language:Python 1- Language:Jupyter Notebook 1
scottpitcher / Customer_RecommendationSystem
Using the MovieLens dataset, will create a customer recommendation system from scratch using PyTorch.
Language:Jupyter Notebook 1skoruthu / Mood_Based_Recommentdation_System_Spotify
Utilised facial recognition (based on Deep Neural Network), similarity based filtering algorithm and Spotify API to recommend songs based on users' current mood.
Language:Jupyter Notebook 1Sourin99 / Rec-A-Businesss
This is a Capstone Project that uses Foursquare location data to help people set up new Buiseness ideas.
Language:Jupyter Notebook 1subharajBhowmik / ApparelRecommendationSystem
A women apparel recommendation system that recommends similar items based on a specific product.Made using Python 3.6.3.
Language:Jupyter Notebook 1- Language:Jupyter Notebook 1
