There are 1 repository under recommender-engine topic.
This repository contains recent research papers, datasets, and source codes (if any) for Group Recommendation
The App aims at helping people to fight from depression and communicate with them at a 1-1 basis alongside giving them suggestions based on their choices which will be taken from the user in various formats such as MCQ for a one time basis and Diary entries of user on a daily basis. The app aims to help mainly people who are introvert and don't share their emotions easily with others who are depressed. we aim to ulift their emotions and make world a better place for them.
A graph-based citation network for paper recommender engine
The objective of this project is to build a kNN-based recommender system in order to predict the top 5 movie based on a given movie, in this case "The Post". As there is no need for classification or regression, the nearestNeighbors model and neighrbors() method are used to find the 5 most closely related films.
Cross modal, cross cultural, cross lingual, cross domain, and cross site global OER network
The project develops an application that suggests to the reader more similar articles to that he already read. It uses the embedding algorithms of headlines to create their own numerical representation, which allows to compute the similarity between headlines and get the most similar ones.
Recommender engine using SageMaker KMeans clustering for a CloudGuru challenge.
Tell-and-Show is a project for open recommendations that uses the AGPLv3 license to protect *data* and to consider said data as the source for machine learning models.
Pick Me A Flick: A content filtering based Movie Recommendation Engine .
Content Based Movie Recommender
🍪 example for recon-engine
web app in Python using Flask framework
Learning Best Practices on Recommender Systems