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
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