User and items cache management

When new users log onto a Web site powered by LikeMinds, they typically want to see recommendations as soon as they have entered their preferences or completed transaction activities. This is accomplished by caching a subset of users, items, and mentors (other users) in memory. The size of the cache depends on the hardware configuration. Increasing the cache size means that it can store more users and mentors, hence yielding faster performance.