Recommender systems form an integral component of modern digital platforms, providing personalised suggestions by filtering through vast amounts of data. These systems largely rely on collaborative ...
As part of an ongoing investigation into X, the European Commission has requested documents from the company related to how its recommendation systems work. The European Union's regulatory arm is ...
Meta Platforms Inc. said today it’s releasing a series of “system cards” that describe how the various artificial intelligence-powered content recommendation systems used by Facebook and Instagram ...
TikTok's recommendation system, "For You," was recently explained by the social media platform. According to Techcrunch's latest report, when a user opens the short-form video app, they are met with a ...
Yandex introduces the world's largest currently available dataset for recommender systems, advancing research and development on a global scale. The open dataset contains 4.79B anonymized user ...
What Netflix’s Recommendation Systems Can Teach Us About The Computing Challenges Of The Near Future
Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. We engage with automation and machine learning every day in ways we may not realize.
Whether we’re using Spotify, Amazon, Netflix or Instagram, we encounter algorithms that recommend content or products to us every day. In 2017 Netflix stated that its users discover around 80 percent ...
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