How LinkedIn replaced five feed retrieval systems with one LLM model, at 1.3 billion-user scale

How LinkedIn replaced five feed retrieval systems with one LLM model — and what engineers building recommendation pipelines can learn from the redesign.
Searchenginejournal.com

Google’s Recommender System Breakthrough Detects Semantic Intent

Google published a research paper about helping recommender systems understand what users mean when they interact with them. Their goal with this new approach is to overcome the limitations inherent ...
Engadget

Meta will add a 'huge corpus' of AI content into its recommendation system

It looks like Meta's Vibes feed is just the start of the company's pivot toward AI slop. In an earnings call, CEO Mark Zuckerberg said that "we're going to add yet another huge corpus of content" to ...
Scientific Research Publishing

Zhang, S., Yao, L., Sun, A., & Tay, Y. (2019). Deep Learning Based Recommender System. ACM Computing Surveys, 52, 1-38.

ABSTRACT: Continuous professional development (CPD) is vital for special education teachers, although their perspectives on CPD diplomas in Saudi Arabia remain understudied. This study examined how in ...
GitHub

Merge pull request #3 from dowelani/MUSAK

This project implements an **Anime Content Recommender System** that suggests anime titles based on content similarity. By leveraging natural language processing (NLP) techniques and machine learning, ...
IEEE

A Comprehensive Content-Based Recommendation System for Programming Problems Through Multi-Faceted Code Analysis

Abstract: Recommending exercises in educational contexts requires balancing relevance and diversity to support effective learning progression. In such settings, content-based recommendation is ...
GitHub

Content based recommender systems.ipynb

"0 Mazda RX4 21.0 6 160.0 110 3.90 2.620 16.46 0 1 \n", "1 Mazda RX4 Wag 21.0 6 160.0 110 3.90 2.875 17.02 0 1 \n", "2 Datsun 710 22.8 4 108.0 93 3.85 2.320 18.61 1 1 ...