10. The machine-readable non-transitory storage medium of claim 8 , wherein the classifier is a Bayesian classifier.
8. A machine-readable non-transitory storage medium comprising instructions, which when executed by a machine, cause the machine to: access a category structure, the category structure including a plurality of categories for items; access a set of training data from a plurality of listings from at least one of supply data or demand data, the supply data generated from seller activity of a plurality of users in a networked system, the demand data generated from buyer activity of the plurality of users in the networked system, each listing including a category from the category structure; and provide the set of training data to a categorization application for training, the categorization application capable of building listing statistics by applying a classifier to the set of training data and recommending a category from the category structure for a new listing by utilizing the listing statistics.