14. A method, comprising: parsing, in at least one computing device, at least a plurality of product descriptions of a like item category for identifying a plurality of keywords associated with the like item category; selecting, in the at least one computing device, a plurality of subsets of keywords from the plurality of keywords, wherein each of the subsets of keywords comprises a unique combination of the plurality of keywords with respect to each other; generating, in the at least one computing device, a respective rule for each corresponding subset of keywords, wherein an application of each respective rule specifies a respective binary result depending upon whether the corresponding subset of keywords is included in a seller product description; calculating, in the at least one computing device, a percentage of the plurality of product descriptions correctly classified by the respective rule to generate a defect rate for the respective rule; and updating, in the at least one computing device, the respective rule based at least in part on the defect rate.
17. The method of claim 14 , further: receiving, in the at least one computing device, a prospective seller product description that expresses an item for sale by the prospective seller; identifying, in the at least one computing device, a recommended category for the item based on applying at least one generated rule to the prospective seller product description; and automatically designating, in the at least one computing device, a category for the item.