| KEYWORD |
Creating and testing a recommender system in a microservice based web service
keywords PYTHON, RECOMMENDER SYSTEMS, WEB SERVICES
Reference persons LUCA ARDITO, MAURIZIO MORISIO
Research Groups DAUIN - GR-16 - SOFTWARE ENGINEERING GROUP - SOFTENG
Thesis type EXPERIMENTAL / DEVELOPMENT
Description In the era of artificial intelligence and technological advancement, our lives depend on them in many ways. The dynamic environment forces us to plan time with awareness. In the context of an event planning platform, it is possible to help users choose vendors based on information relevant only to them by using recommender systems. Popular platforms such as Amazon, eBay, Netflix, and YouTube use advanced recommender systems to serve their users' needs better. This thesis project aims to integrate a standalone recommender system into an existing microservice architecture composed of several components. Technologies such as Flask and SQLAlchemy will be used, and input and output data will be managed through HTTP REST/JSON.
Required skills Python
Deadline 28/10/2021
PROPONI LA TUA CANDIDATURA