Recommendation Systems Dev Summit

Learn from the top experts in the industry about Recommendation Systems Resources: Recommendation Systems Developer Summit 2023 homepage → https://goo.gle/445dKOQ Recommendation systems landing page → https://goo.gle/3qXZl8m TensorFlow Recommenders → https://goo.gle/3itIV3A PaLM API → https://goo.gle/46teH4W Augmenting recommendation systems with LLMs (blog) → https://goo.gle/3ptwSHm Do LLMs Understand User Preferences? Evaluating LLMs On User Rating Prediction (paper) → https://goo.gle/3ppgCqD TensorFlow Agents→ https://goo.gle/3XAZv1W Recommendations with TF Agents blog post → https://goo.gle/46ohoF8 TF Agents Bandits end-to-end examples → https://goo.gle/430Nl3u TensorFlow Ranking → https://goo.gle/430Nl3u Google Rax → https://goo.gle/3PF6tRD Scaling deep retrieval with TensorFlow Recommenders and Vertex AI Matching Engine (blog) → https://goo.gle/431cOtt Recommender Systems with Generative Retrieval (paper) → https://goo.gle/3PBNfwc TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for Embeddings (paper) → https://goo.gle/3NtFHZI Machine Learning for Snapchat Ad Ranking → https://goo.gle/46o2Fdl JAX TPU embedding → https://goo.gle/3r2USkW Dynamic embedding RFC → https://goo.gle/3JXWraD