Recommendation Engines for Newspapers

Language Log describes the new NY Times article recommendation engine.  This piece is interesting because it discusses the problem from a linguistic, rather than entirely from a computer science direction.   Newspapers used to recommend by simple placement on a page, now they have the opportunity to recommend online in new ways.    Will this slow their demise?  Consider the links to storytelling and content analytics.  But does this lead more directly to pre established narratives?

" ... The New York Times publishes over 300 articles, blog posts and interactive stories a day. ... Refining the path our readers take through this content — personalizing the placement of articles on our apps and website — can help readers find information relevant to them, such as the right news at the right times, personalized supplements to major events and stories in their preferred multimedia format. ... "