Closed (duplicate)
Project:
Recommender API
Component:
Code
Priority:
Minor
Category:
Feature request
Assigned:
Reporter:
Created:
23 Feb 2009 at 16:12 UTC
Updated:
23 Feb 2009 at 16:13 UTC
Computation in-memory is much faster than in-database. But recommender_similary_classical() only supports in-memory computation when missing data is treated as zero. In-memory computation is needed for cases where missing data is treated as 'none' or 'adjusted' like the in-database operation.
This is a low priority code task because the full functionality is already implemented in in-database approach. The in-memory feature is just an optional feature rather than a necessary one.
Comments
Comment #1
danithaca commented