dbo:abstract
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- Prismatic was a social news curation and discovery application for various Web browsers and mobile devices running iOS. It combined machine learning, user experience design, and interaction design to create a new way to discover, consume, and share media. Prismatic software used social network aggregation and machine learning algorithms to filter the content that aligns with the interests of a specific user. Prismatic integrated with Facebook, Twitter, and Pocket to gather information about user's interests and suggest the most relevant stories to read. Prismatic initially launched in 2012 for Web browsers and the iPhone, followed by the release of an iPad app on December 19, 2013. On December 20, 2015 the company closed its consumer-facing apps and focused on offering its machine learning algorithms to publishers and hedge funds. Prismatic was produced by Prismatic, Inc., a United-States-based software company founded in 2010 by Bradford Cross and Aria Haghighi and headquartered in San Francisco, California. (en)
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- 10569 (xsd:nonNegativeInteger)
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- Prismatic’s homepage in June 2014 (en)
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- Closed in December 2015 (en)
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- Bradford Cross, Aria Haghighi (en)
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- Prismatic logo, June 2014.png (en)
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- Prismatic Homepage screenshot, June 2014.png (en)
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- People can do three main things on Prismatic: Tell the service what topics they are interested in and which people they want to follow; read and look at the suggested articles and photos; and share content back to those topics. Support for video is coming next. (en)
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rdfs:comment
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- Prismatic was a social news curation and discovery application for various Web browsers and mobile devices running iOS. It combined machine learning, user experience design, and interaction design to create a new way to discover, consume, and share media. Prismatic software used social network aggregation and machine learning algorithms to filter the content that aligns with the interests of a specific user. Prismatic integrated with Facebook, Twitter, and Pocket to gather information about user's interests and suggest the most relevant stories to read. (en)
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