How LinkedIn replaced five feed retrieval systems with one LLM model — and what engineers building recommendation pipelines can learn from the redesign.

Recommender systems suggest potentially relevant content by evaluating user preferences and are essential in reducing ...

While previous embedding models were largely restricted to text, this new model natively integrates text, images, video, audio, and documents into a single numerical space — reducing latency by as muc ...

Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

Abstract: As the volume of content that users search for in the internet environment rapidly increases, the demand for research on recommendation systems that provide personalized recommendations is ...

The most effective forms of control do not feel like control at all. They feel like a recommendation. On social media platforms, buttons such as “not interested” and engagement signals appear to grant ...

Abstract: The recommendation system of today has made it simple to locate the necessities. Movie recommendation systems are designed to assist movie buffs by making recommendations for films to see, ...