LOS ANGELES — With "big data" increasingly finding a foothold in top-tier adult entertainment companies one example is already paying dividends, as xHamster embraces its xHAI artificial intelligence engine.
According to the company, it’s no secret that some websites analyze visitor searches and preferences to offer tailored services or products based on this automated analysis — a process called “machine learning” — where the AI teaches itself.
Marketing Director Alex Hawkins says that machine learning is widely used these days, and not only by search engines or social media but also by companies such as xHamster.
“xHamster has an enormous volume of content [with users uploading] up to 5,000 videos daily (in total more than 5 million clips) in more than 400 categories with more than 50,000 tags (and this number is constantly increasing), 70,000 stars, and tens of thousands of producers. Who will work all of this out to offer movies to the user for their taste?” Hawkins asks, answering, “xHamster artificial intelligence — xHAI.”
Hawkins says xHAI examines the preferences of each user, analyzing them in an attempt to understand the user’s tastes and then offer them something they will find interesting, using facial recognition and other technology.
“xHAI scans the face of the model to determine not only her type but even the name — and invites the user to visit her page, see all the videos with her participation, and get acquainted with the performers and cam models similar to her,” Hawkins explains. “xHAI examines all of the videos you watched, how many previews that you add to the favorites, what you put on the likes or dislikes, where you comment — and will offer you what you are looking for.”
Hawkins says xHamster plans to teach xHAI to distinguish various sexual acts, poses, and categories, and to put markup with tags on the video so that users can switch the video to their favorite moments.
“How can xHamster AI distinguish oral sex from anal sex?” Hawkins concludes. “Our engineers and developers are engaged in its training.”
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