Personalization advancement through machine learning

Your consumers spend a lot of time exploring and analyzing suitable information―which books to study, which news articles to read, which songs to play, which movies to watch, which games to play, and so on. Imagine, what their experience would be like, if they don't need to pick anything on their own, but are presented with options of their liking―be it in education or media or entertainment. Here are some of the things they can be offered: • Adaptive text-books, in which content changes based on the pace of learning and comfort level of the reader. Such advancements reduce the overall time spent on information discovery, and increase the scope of effective information consumption (or learning). Domains such as education, publishing, entertainment, and advertisement mostly deal with granular digital assets (text, images, audio, video, multi-media, and so on), and are better prepared to enhance personalization even without creating new content from scratch.