Netflix Blog: FM-Intent: Predicting User Session Intent with Hierarchical Multi-Task Learning

I love that the Netflix tech team has a blog and posts their AI research. It’s worth reading every now and then.

“Recommender systems have become essential components of digital services across e-commerce, streaming media, and social networks [1, 2]. At Netflix, these systems drive significant product and business impact by connecting members with relevant content at the right time [3, 4]. While our recommendation foundation model (FM) has made substantial progress in understanding user preferences through large-scale learning from interaction histories (please refer to this article about FM @ Netflix), there is an opportunity to further enhance its capabilities. By extending FM to incorporate the prediction of underlying user intents, we aim to enrich its understanding of user sessions beyond next-item prediction, thereby offering a more comprehensive and nuanced recommendation experience.”

Also, note how easy it is to make social images. I needed something, so I asked GPT to add the text of the title to the Netflix logo and make it look clean. Pretty soon, this will be automatic, assuming we still care about cover images.

https://netflixtechblog.com/fm-intent-predicting-user-session-intent-with-hierarchical-multi-task-learning-94c75e18f4b8