We develop efficient computational strategies for inventory liquidation problem, which is characterized by a retailer disposing of a fixed amount of inventory over a period of time. Liquidating end-of-cycle products optimally represents a challenging problem due to its inherent stochasticity....

The application of predictive data mining techniques in Information Systems research has grown in recent years, likely due to their effectiveness and scalability in extracting information from large amounts of data. A number of scholars have sought to combine data mining with traditional...

An approach to defining actionability as a measure ofinterestingness of patterns is proposed. This approachis based on the concept of an action hierarchy whichis defined as a tree of actions with patterns and patterntemplates (data mining queries) assigned to itsnodes. A method for discovering...

We study the problem of consumer acquisition in recommender systems, by considering a marketplace where a recommender system provider offers personalized incentives to encourage consumer participation. We investigate a model of consumer acquisition that accounts for several key market dynamics,...