Ratings

Simple and efficient object rating system

there is now a user guide

install

if you want the cmf tool variant

add an external method standard cmf style

requirements

scalable

allow numeric ratings, once per authenticated user.

should support future data mining ie.

data analysis of ratings to provide users with packages they will probably like.

implementation

the ratings objects are stored local to the content with an IIBTree mapping hash(user_name) to their vote.

the rating tool is a cmf style tool that allows for a consistent api to to access a contents ratings, AND maintains a list of the highest rated objects. the list utilizes a pluggable ranking algorithm to allow for tuning of the highest rated list. this list is maintained as an OOSet. a catalog implementation was not used because it would not be as scalable, imo.

Title	Type	Size	Modified	Status

default	Software Release		2002-03-13	published
RatingsUserGuide	Document	4 K	2002-03-11	published
upgrade.py	File	1 K	2002-03-29	published