> > In the view for a single article, I would like to be able to pull up >> related articles based on shared keywords. Just pulling up all the >> articles that share at least one keyword would be to imprecise. What >> I'd like to do is use some sort of weighting algorithm, so that if >> there are articles that share 5 keywords they get pulled up while ones >> that only share 1 do not. I've been thinking over ways to do this, but >> they all seem to be fairly slow and processor intensive. > > Also, if you are looking for performance, you may want to find a way to use the SQL aggregation operations (Like Count, Avg, StdDev) to help you with your problem.
That feature is scheduled for Django 1.1 and 'may' be merged into trunk soon, for now you can use Russell's git repo by doing: git clone http://github.com/freakboy3742/django/tree/aggregation<http://github.com/freakboy3742/django/tree/aggregation> git checkout -b --track aggregation origin/aggregation Let us know how that goes. Ariel. --~--~---------~--~----~------------~-------~--~----~ You received this message because you are subscribed to the Google Groups "Django users" group. To post to this group, send email to django-users@googlegroups.com To unsubscribe from this group, send email to django-users+unsubscr...@googlegroups.com For more options, visit this group at http://groups.google.com/group/django-users?hl=en -~----------~----~----~----~------~----~------~--~---
