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Learning a Personalized Homepage. how to best tailor each member’s… | by Netflix Technology Blog | Netflix TechBlog

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As we’ve described in our previous blog posts, at Netflix we use personalization extensively and treat every situation as an opportunity to present the right content to each of our over 57 million members. The main way a member interacts with our recommendations is via the homepage, which they see when they log into Netflix on any supported device. The primary function of the homepage is to help each member easily find something to watch that they will enjoy. A problem we face is that our catalog contains many more videos than can be displayed on a single page and each member comes with their own unique set of interests. Thus, a general algorithmic challenge becomes how to best tailor each member’s homepage to make it relevant, cover their interests and intents, and still allow for exploration of our catalog. This type of problem is not unique to Netflix, it is faced by others such as news sites, search engines, and online stores. Any site that needs to choose items from a large number

Machine Learning Algorithms Page Generation Personalization Recommendations Learning a Personalized Homepage Netflix Technology Blog 15 min read · Apr 9, 2015 -- 7 Listen Share by Chris Alvino and Justin Basilico As we’ve described in our previous blog posts , at Netflix we use personalization extensively and treat every situation as an opportunity to present the right content to each of our over 57 million members. The main way a member interacts with our recommendations is via the homepage, which they see when they log into Netflix on any supported device. The primary function of the homepag

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