If I were you I would start by writing down the description, pros and cons of the approaches you've thought about. Then you'll be closer to solving your problem and it'll be more likely that someone steps up and helps you. Ariel.
On Fri, Jan 9, 2009 at 3:09 PM, Rodrigo Culagovski <rodrigo...@gmail.com>wrote: > > I am developing a site for an academic publication that contains a few > thousand articles. Each Article has a ManyToMany relationship with one > or more Keywords from a controlled vocabulary. > > 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. > > Using trunk and MySQL (I'd be willing to change to PostgreSQL if there > was an advantage, however I've never used it before). > > Any suggestions or experience is much appreciated. > > > --~--~---------~--~----~------------~-------~--~----~ 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 -~----------~----~----~----~------~----~------~--~---
