Paper ID: 2206.02254

Augmenting Netflix Search with In-Session Adapted Recommendations

Moumita Bhattacharya, Sudarshan Lamkhede

We motivate the need for recommendation systems that can cater to the members in-the-moment intent by leveraging their interactions from the current session. We provide an overview of an end-to-end in-session adaptive recommendations system in the context of Netflix Search. We discuss the challenges and potential solutions when developing such a system at production scale.

Submitted: Jun 5, 2022