CHAMELEON: A Deep Learning Meta-Architecture for News Recommender Systems [Phd. Thesis]

Understand

Recommender Systems (RS) have became a popular research topic and, since 2016, Deep Learning methods and techniques have been increasingly explored in this area.

• News RS are aimed to personalize users experiences and help them discover relevant articles from a large and dynamic search space.
• The main contribution of this research was named CHAMELEON, a Deep Learning meta-architecture designed to tackle the specific challenges of news recommendation.
• It consists of a modular reference architecture which can be instantiated using different neural building blocks.