Attend our first Developer Summit on Recommendation Systems
5月 26, 2023
Posted by Wei Wei, Developer Advocate

Register for the Summit here!

Recommendation systems are everywhere. They power our favorite websites, apps, and services, helping us find the things we enjoy. But how do modern recommenders work? What are the key components and how do they fit together? How can we make them even better?

Since we launched our recommendation system landing page last year, we have heard many positive feedback from our developer community. While many developers find the new consolidated page very useful to get started with our suite of products, they are also eager to learn more about how to best leverage them to build powerful in-house recommenders for their own business needs.

This is why we are very excited to announce our first-ever Developer Summit on Recommendation Systems (registration is open now). This event will be held online on June 9, 2023 10AM - 12:15PM US Pacific Time and it will bring together many Google engineers who authored our suite of products to share their insights and expertise in recommendation systems. At this summit, we will not only cover specific products (such as TensorFlow Recommenders, TensorFlow Ranking, and TensorFlow Agents), share ideas on augmenting recommenders with Large Language Models (LLMs), but also discuss Google’s cutting edge recommendation system research (e.g., generative retrieval using generative AI techniques).

This Developer Summit is the perfect event for anyone who wants to learn more about recommendation systems. Whether you're just getting started or a seasoned practitioner in this exciting domain, you're sure to find something valuable at this event.

We look forward to (virtually) meeting you there!

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Attend our first Developer Summit on Recommendation Systems

Posted by Wei Wei, Developer AdvocateRegister for the Summit here!Recommendation systems are everywhere. They power our favorite websites, apps, and services, helping us find the things we enjoy. But how do modern recommenders work? What are the key components and how do they fit together? How can we make them even better?Since we launched our recommendation system landing page last year, we have…