Item recommendation w/o users or preferences

[Tim Smith]

Say I have a retail organization that doesn't sell a diverse set of products, 
eg 2000, but has many small transactions.  Also say that I don't have any user 
or preference information.  Is it reasonable to use pattern mining (market 
baskets) and recommend items based on a set of thresholds for support, 
confidence, and lift?  If not, what are my options?