Lightweight representation learning for efficient and scalable recommendation

Understand

Over the past decades, recommendation has become a critical component of many online services such as media streaming and e-commerce.

• Recent advances in algorithms, evaluation methods and datasets have led to continuous improvements of the state-of-the-art.
• However, much work remains to be done to make these methods scale to the size of the internet.
• Online advertising offers a unique testbed for recommendation at scale.