hi ok this is not a specific web2py problem but I intend to solve it using web2py and I like you guys, so here it goes:
I have a DB with posts, links, comments and other interesting contents. These contents are generated from an App. Let's say I use it to make a post. It would be nice to have a smart system that would recommend similar / related articles that could interest the reader in an autonomous way. The author of the post could check those recommendations and edit them, by putting something arbitrarly on top or by removing a wrong suggestion but the system should be as autonomous as possible. It could be based on tags, the content itself (lucene?), the title and the search criteria would be partly shared by the search engine. Suggestions for this? Technologies used? are there examples? Thank you Best regards
