LiNR: Revolutionizing Large-Scale Retrieval for Recommendation Systems
Machine Learning
Information Retrieval
Recommender Systems
Deep Learning
GPU-based Systems
The podcast discusses the groundbreaking LiNR system developed by LinkedIn for recommendation engines. LiNR introduces model-based retrieval with attribute-based pre-filtering and quantization techniques to efficiently find and deliver the most relevant content to users.
Read transcript · Original paper
AI-generated voices discussing a paper selected by Arjun Srivastava.
About this paper
LiNR’s key contributions include model-based retrieval with pre-filtering, quantization techniques for memory optimization, and integration of GPU capabilities. It outperformed traditional systems, leading to significant increases in user interactions, unique users, and content engagement.