资 源 简 介
Overview
This software framework provides basic code for helping the process of designing and implementing recommender engines.
For end-users
Usage examples
Flickr example to come soon.
Documentation
API/Javadoc documentation is distributed with the source package and is also available online.
Details
When studying recommender algorithms it is necessary to carry on repetitive tasks such as validating results with multiple subsets of training data so as to increase results confidence, representing results graphically in several ways as an aid for analysis etc.
Thus it becomes necessary to have an infrastructure in terms of tools, reusable code modules, procedures and data standards, all of which could be represented as a fra
