Machine learning now understands how the game looks and plays
Vilnius, May 23, 2019 - Games media service RAWG launches a neural network to help you find a new favorite game in a few seconds. RAWG brings a discovery-rich list similar to popular content discovery platforms, that is powered by the world's largest games database, and lets you browse an endless flow of games. If you like what you see, our neural network will find more games you will enjoy in a single click.
Metadata-based recommendations rely heavily on tags and categories, which makes them less accurate for multi-platform gamers. Machine learning solves that, as the neural network can analyze all games as soon as they are in the database and use something better than the metadata—the actual in-game content.
How games discovery works: You can follow genres, platforms, creators, and your friends, and monitor game recommendations that are relevant to them in one place. If you like what you see, you can click on the game card where you will instantly find stores to buy it. The “Show more like this” button will take you to a page of similar games. The results you see there are provided via machine learning. The neural network analyzes in-game content of all the games in the database and finds the most similar ones.
Pictures: https://drive.google.com/drive/u/1/folders/1SYP0ZN0At6oc3A4W_bFaQomGWtKCMVAkAbout: RAWG consists of the biggest games database in the world (over 316,000 titles) and a service to keep track of your library across all devices. It strives to create a central place for gamers on all platforms to discover something new and share their gaming experiences. RAWG is a startup based in Lithuania, and it is already out of beta on https://rawg.io.