> Any kind of pointers gratefully received.

Extract relevant "keywords" for each document with the term frequency–inverse document frequency method (see tf-idf modules)...

... and weight them according to your "likes".

New stories with high combined weight of the extracted vector of most relevant keywords are probably those you like.

You will need to continue voting while you get them to make the system learn.

Cheers Rolf
(addicted to the Perl Programming Language and ☆☆☆☆ :)
Je suis Charlie!

PS: Yes this approach could be used for the monastery too.

In reply to Re: Simple form of Machine Learning/AI with Perl? (tf-idf) by LanX
in thread Simple form of Machine Learning/AI with Perl? by Cody Fendant

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