![]() ![]() Some porn stars are easy to identify but more obscure performers are tricky. With the proliferation of so much pirated material online it can be difficult to trace the original source of your favorite GIF, clip or still. This is great news for porn fans who want to identify a performer and find more content they have produced. jpeg (or similar) in order to search the internet there are now specific porn search engines that can offer the same technology. In much the same way as Google allows you to upload an image from your PC or enter a URL of an existing web. is helping porn fans is using the same method of face recognition but applying it to reverse image searching. The result is a far better experience for users. This kind of system has been in use since 2017 and the same model is also being used to identify other elements of the scenes being uploaded from location and sexual positions to whether or not a file is a duplicate of another identical scene on the site. So, whilst the uploader of a clip may have only identified two of the four performers, the search engine’s at Pornhub are actually scanning all files to match additional models. model which is helping to better curate its 10.8 million videos. That’s right, those boffins over at Pornhub have developed an advanced A.I. In simple terms, a search engine that doesn’t solely look at the ‘keywords’ that have been used to ‘tag’ the content by whoever has uploaded it but actually identifies the performers, and even the action, in the content itself. The first is via the deployment of software that is capable of identifying target content using face recognition and a model based on superior tagging criteria. is helping the porn industry in terms of search engines. It can already be seen in use from email filtering and fraud detection to voice recognition software like that which powers digital assistants like Siri and Alexa. These conditions of rising volumes of ill-curated content and a change in how we want to access it has opened the door for the next generation of search engines driven by artificial intelligence.Īrtificial Intelligence, or machine learning, is an advanced form of digital technology that covers a wide field of applications. Not only that but the trend towards image searches is also on the increase. The rise of voice-enabled searches using apps, smart devices and personal assistants like Siri, Alexa and Cortana has underlined the need for more adaptive technology. In recent years, search engines have also had to adapt the ways in they can offer users a means of querying the internet. Well, search engines have always been the gateway to the cornucopia of online content and their algorithms have to continually evolve in order to ensure that their results are not only relevant but meaningful. It’s a bit like trying to find a needle in a haystack, so how can search engines help us find what we are looking for or, better still, predict what we want to see. Searching for porn can be like trying to find a needle in a haystack. The result is that many of these sites are fast becoming vast dumping grounds for quality content which is just badly categorized and, in many cases, duplicated. Members on the site don’t always obey the accepted etiquette about tagging their clips and/or are too lazy to attach more than a handful of keywords….often the same ones ‘ big tits’, ‘cumshot’, ‘anal’ etc. This is particularly true of user-submitted content to tube sites like Pornhub, YouPorn and XVideos. It’s a catch-22 situation there’s never been more porn available to watch online yet finding the clips you want has only become harder. Searching for any content online has become infinitely more difficult as the amount of material increases. Why Do We Need Search Engines with Artificial Intelligence?
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