Curated Resource ( ? )

How the Washington Post used data and natural language processing

How the Washington Post used data and natural language processing

my notes ( ? )

Good intro to WaPo's Clavis recommendation engine ... "technology that figures out what stories are about, categorizes them by topic, and assigns each a series of keywords. It runs that same process on the Post’s readers and identifies their presumed interests based on stories they’ve read. Clavis then pairs readers with stories... the Post improve its click through rate on Post Recommends 95 percent - How the Washington Post used data and natural language processing to get people to read more news | Knight Lab | Northwestern University

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The above notes were curated from the full post knightlab.northwestern.edu/2015/06/03/how-the-washington-posts-clavis-tool-helps-to-make-news-personal/.

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