TV shows recommendation system

Collect data for the tv shows on twitter such as the followers. Then using various machine learning algorithms and NLP concepts, create a recommendation system based on the similarities bewteen the followers(depend on the shows they follow) and similarities between the shows(genre, ratings etc)

Then create data visualization to see graphs etc. In the end create a web app for the users to see their recommendations.

Project idea can be flexible and discussed too.

Please read the project first and write the word "Understood". Also write your steps and suggestions to complete the project with a short description of what you understood.

Compétences : Script Install, Architecture Logicielle

Voir plus : web system architecture, web algorithms, learning to write algorithms, graphs algorithms, description of graphs, data for data visualization, architecture recommendation, architecture idea, algorithms on graphs, algorithms graphs, algorithms for graphs, TV app, system architecture, nlp, machine learning\ , learning system, data-visualization, c++ machine learning, architecture visualization, twitter data machine learning, twitter machine learning, twitter follow app, nlp algorithms, app learning, system software architecture

Concernant l'employeur :
( 91 commentaires ) Cairo, Egypt

N° du projet : #1609048