KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

Reinforced Negative Sampling over Knowledge Graph for Recommendation, WWW2020

Movies Recommendation Systems with Personalization

Built article recommendation engines for IBM Watson's platform users. Used collaborative filtering, content-based, ranking and knowledge-based techniques.

Food Finder: An interface for a multi-user recommendation system.

A course recommender

ECE NTUA Assignments

System to recommend books using Knowledge Based and Reinforcement Learning

Project Overview: Knowledge-based, Content-based and Collaborative Recommender systems are built on MovieLens dataset with 100,000 movie ratings.