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

While previous embedding models were largely restricted to text, this new model natively integrates text, images, video, audio, and documents into a single numerical space — reducing latency by as muc ...

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 ...

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 ...

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, ...

Abstract: A recommendation system is an analytical tool designed to provide personalized suggestions to users for specific resources such as literature, films, or music, derived from a comprehensive ...

"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 ...