Yandex browser integrates content discovery feed, supports new ad-blocking extensions
Last month Yandex announced two enhancements to its in-house browser
Jul 08, 2016
Last month Yandex announced two enhancements to its in-house browser. The first one is the integration of Zen, a personalized content recommendation technology developed by the Russian search giant, into the browser.
This AI-based recommendation technology uses Yandex’s considerable global web index to pick stories, images, videos and other content for each individual user. Presented as a content discovery feed, Zen delivers recommendations based on the user’s location, browsing history, their viewing history and preferences in Zen, "among hundreds of other factors," Yandex claims.
"With all the vastness of information available on the internet, something genuinely interesting isn’t easy to come by. Zen helps solving this problem," says Victor Lamburt, head of Yandex Zen.
Zen uses natural language processing and computer vision to understand the verbal and visual content on the pages the user has viewed, liked or disliked, to offer them the content they are likely to like.
Yandex says that Zen is taking advantage of another Yandex recommendation technology, named ‘Disco,’ which is based on the company’s machine-learning algorithm, MatrixNet. Disco helps Zen choose which suggestions to offer to the user at any given point in time.
"Targeted to identify the user’s personal long-term interests and cater to them, Zen also delivers content not directly related to their immediate preferences. The more the user interacts with Zen, the better are the chances that they will see serendipitously interesting content," the Russian company explains.
Yandex says that this personal content recommendation technology can be easily integrated into third-party mobile applications, such as browsers or launcher apps. "There is a great monetization potential here for OEMs, app developers, and mobile carriers," according to Yandex.
This AI-based recommendation technology uses Yandex’s considerable global web index to pick stories, images, videos and other content for each individual user. Presented as a content discovery feed, Zen delivers recommendations based on the user’s location, browsing history, their viewing history and preferences in Zen, "among hundreds of other factors," Yandex claims.
"With all the vastness of information available on the internet, something genuinely interesting isn’t easy to come by. Zen helps solving this problem," says Victor Lamburt, head of Yandex Zen.
Zen uses natural language processing and computer vision to understand the verbal and visual content on the pages the user has viewed, liked or disliked, to offer them the content they are likely to like.
Yandex says that Zen is taking advantage of another Yandex recommendation technology, named ‘Disco,’ which is based on the company’s machine-learning algorithm, MatrixNet. Disco helps Zen choose which suggestions to offer to the user at any given point in time.
"Targeted to identify the user’s personal long-term interests and cater to them, Zen also delivers content not directly related to their immediate preferences. The more the user interacts with Zen, the better are the chances that they will see serendipitously interesting content," the Russian company explains.
Yandex says that this personal content recommendation technology can be easily integrated into third-party mobile applications, such as browsers or launcher apps. "There is a great monetization potential here for OEMs, app developers, and mobile carriers," according to Yandex.