How LinkedIn replaced five feed retrieval systems with one LLM model — and what engineers building recommendation pipelines can learn from the redesign.
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 ...
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 ...
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: Recommending exercises in educational contexts requires balancing relevance and diversity to support effective learning progression. In such settings, content-based recommendation is ...
Content-Based Recommender System The content-based recommender system utilizes information about the movies' genres to build user profiles. Each user's profile is created based on the genres of the ...
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