Things Change: Comparing Results Using Historical Data and User Testing for Evaluating a Recommendation Task. - Soon-Gyo Jung; Joni Salminen; Shammur A. Chowdhury; Dianne Ramirez Robillos; Bernard J. Jansen (CHI Extended Abstracts, 2020)

Next Likely Behavior: Predicting Individual Actions from Aggregate User Behaviors. - Bernard J. Jansen; Soon-Gyo Jung; Dianne Ramirez Robillos; Joni Salminen (IDSTA, 2021)

Forecasting the nearly unforecastable: why aren't airline bookings adhering to the prediction algorithm? - Saravanan Thirumuruganathan; Soon-Gyo Jung; Dianne Ramirez Robillos; Joni Salminen; Bernard J. Jansen (Electron. Commer. Res., 2021)

Too few, too many, just right: Creating the necessary number of segments for large online customer populations. - Bernard J. Jansen; Soon-Gyo Jung; Dianne Ramirez Robillos; Joni Salminen (Electron. Commer. Res. Appl., 2021)

The ability of personas: An empirical evaluation of altering incorrect preconceptions about users. - Joni Salminen; Soon-Gyo Jung; Shammur A. Chowdhury; Dianne Ramirez Robillos; Bernard J. Jansen (Int. J. Hum. Comput. Stud., 2021)

Will they take this offer? A machine learning price elasticity model for predicting upselling acceptance of premium airline seating. - Saravanan Thirumuruganathan; Noora Al Emadi; Soon-Gyo Jung; Joni Salminen; Dianne Ramirez Robillos; Bernard J. Jansen (Inf. Manag., 2023)