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    Posted March 16, 2014 by
    Toronto, Ontario
    This iReport is part of an assignment:
    Tech talk

    Tech Prodigy Unveils New Website, Changes the Way We Read News

    March 15, 2014 - Leo Jiang, a 17-year-old from Toronto, has just released a news website called OmniFeed. OmniFeed fetches stories from thousands of news sources and predicts which ones its users would be interested in.

    "When you go on a typical news site, most of the stuff there you just don't care about. OmniFeed removes all the clutter and displays exactly what you want to see," explained Leo.

    When users sign up, they can choose which websites to get news from and what topics they're interested in. Next, this information is fed into a complex algorithm involving many factors including public data on the web, the user's reading history, and a social graph of OmniFeed's users. We asked users to compare OmniFeed's recommendations with Zite's (a popular news recommendation service) and OmniFeed won in every case.

    OmniFeed is currently available only as a website, though Leo plans on making an Android app soon.

    About OmniFeed

    At its core, OmniFeed is a RSS reader similar to Google Reader. Users can choose from over 2000 built-in RSS feeds or add their own. On top of that, OmniFeed's "Recommended" section uses the prediction algorithm to display what the user will likely be interested in and the "Popular" section displays the most popular news stories of the day.

    In addition, OmniFeed uses Readability's content extraction algorithm to allow users to read news articles in-site, as well as a summarization algorithm similar to Summly's to provide a 1-2 sentence summary for each article. Leo says these 2 latter features "still need a bit of work."
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