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Post Tagged with: "Personalization"

Personalization + Content Marketing: A Match Made in Heaven

Personalization + Content Marketing: A Match Made in Heaven

We’ve discussed at length the ways that content marketing is helping brands spread their stories online. At News360, we strive to connect audiences with the content that is most interesting to them, whether it is produced by a news organization or sponsored by a leading brand. If you’re interested in a subject, we want to connect you to the best content about it.

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The Difference Between RSS and the Future of News

With all the hubbub happening in the digital news space recently, including the impending death of Google Reader and Flipboard’s foray into custom-made, shareable magazines, it’s clear that we’re in the middle of major systemic changes in the publishing industry. And as this process is developing, the number of content consumption options is becoming almost as overwhelming as the amount of content itself. Today’s landscape As it stands now, we’ve got a few different categories of content consumption tools: feeds, social aggregation, and personalization engines. Each of these tools strikes a different balance between technology and human autonomy. Feed readers […]

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An Even More Perfect Combination of Beauty and Brains for Your Android

News360 always delivers the news that’s most relevant to you, and today we’ve got some news of our own that we suspect will be of great interest to Android users. Yes. It’s the moment you’ve all been waiting for: our news and entertainment discovery app is rolling out a new version available for free download from Google Play. This release features a brand new interface completely rewritten to take advantage of the latest and greatest Android features. Plus, it incorporates the new personalization technology we’ve refined and iterated based on data we’ve been gathering about the way people consume content. […]

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The Long Quest for Personalization, Part I

The Long Quest for Personalization, Part I

We at News360 have been working on news personalization for a long, long time now. The idea of tracking user interests based on reading behaviour, and using that data to recommend articles, sources and other things is very appealing – especially if you already have a lot of the basic building blocks with named entity extraction.   The obvious, naive idea is to just build a classification system.

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