Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

Netflix is using AI, generative AI, and recommendation engine technology to improve content discovery, reduce content overload, and enhance the streaming platform experience. Nicholas Derio ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

As Pinterest continues to build out its AI-powered advertising platform for product discovery and heightened user engagement, the Microsoft-owned social-media company is also focused on boosting the ...

When you need to understand evaluating functions sine cosine and tangent the unit circle can be your best friend. Buckingham Palace responds to President Trump’s comments on King Charles’s views US ...

For any platform that needs to guide users toward the right choices, personalization isn’t optional anymore—it’s expected. A generic recommendation engine needs to go far beyond simple filters like ...

Abstract: The development of digital tourism drives the need for a recommendation system in the tourism sector. The need for a recommendation system supported by the development of Artificial ...

Explore how streaming algorithms, personalization, and the content pipeline work together to power recommendation engine systems and shape what viewers see on streaming platforms. Pixabay, SunnyMuneko ...

Abstract: This paper proposes a benchmark analysis of various similarity metrics and text vectorization methods applied to content-based product recommendation systems in e-commerce. It presents an ...