ITEM ATTRIBUTE BASED DATA MINING SYSTEM

Data mining systems and methods are disclosed for item recommendation based on frequent attribute-values associated with items. The system may determine commonalities in item attribute-values based on user transactions and identify frequent attribute-value tuples that include attribute-values that frequently co-occur in user transactions. The system may associate user interests with the frequent attribute-value tuples and recommend items to target users based thereon. A user-interface for presenting the recommendation allows users to explore item recommendations based on modifications to one or more frequent attribute-value tuples initially recommended to the user