Recommendation Systems

34 posts · 11 sources

+3

PinterestBlog3d

From Activity to Intent: Generating User Journeys with LLMs

AI EngineerYouTube2w

Why LLM Recommenders Will Be AI's Biggest Consumer App — Devansh Tandon, Meta

PinterestBlog26 Aug

Scaling Conditional Learned Retrieval for Pinterest Home Feed

PinterestBlog26 Aug

Scaling Conditional Learned Retrieval for Pinterest Home Feed

LinkedInBlog24 Aug

Rebuilding LinkedIn’s Follows Recommendations with LLM-Based Semantic Retrieval and Ranking

MetaBlog3 Aug

GEM Training: How Meta Doubled the Efficiency of Its LLM-Scale Ads Foundation Model

PinterestBlog27 Jul

Pinner Progression: Better Use-Case Representation Driving Weekly Active User Growth at Pinterest

PinterestBlog27 Jul

Pinner Progression: Better Use-Case Representation Driving Weekly Active User Growth at Pinterest

MetaBlog26 May

SilverTorch: Index as Model — A New Retrieval Paradigm for Recommendation Systems

PinterestBlog21 May

Making User-Sequence Data More Cost-Efficient, Faster, and Easier to Use

UberBlog14 Apr

Innovative Recommendation Applications Using Two Tower Embeddings at Uber

MetaBlog31 Mar

Meta Adaptive Ranking Model: Bending the Inference Scaling Curve to Serve LLM-Scale Models for Ads

MetaBlog18 Mar

Friend Bubbles: Enhancing Social Discovery on Facebook Reels

MetaBlog14 Jan

Adapting the Facebook Reels RecSys AI Model Based on User Feedback

MetaBlog10 Nov

Meta’s Generative Ads Model (GEM): The Central Brain Accelerating Ads Recommendation AI Innovation

SpotifyBlog1 Nov

Shuffle: Making Random Feel More Human

QdrantBlog14 Jul

How Pento modeled aesthetic taste with Qdrant

MetaBlog19 Nov

Sequence learning: A paradigm shift for personalized ads recommendations

SpotifyBlog1 Oct

Exclude from Your Taste Profile

MetaBlog9 Aug

Scaling the Instagram Explore recommendations system