This work addresses a particular kind of cross domain personalization task consisting of selecting simultaneously two items in two different domains and recommending them togethe...
While many devices today increasingly have the ability to predict human activities, it is still difficult to build accurate personalized machine learning models. As users today wi...
As more information becomes available electronically, tools for finding information of interest to users becomes increasingly important. The goal of the research described here is...
Eric Bloedorn, Inderjeet Mani, T. Richard MacMilla...
On the Semantic Web personalization technologies are needed to deal with user diversity. Our research aims at maximising the automation of acquisition of user knowledge, thus provi...
Lora Aroyo, Ronald Denaux, Vania Dimitrova, Michae...
Utility or preference elicitation is a critical component in many recommender and decision support systems. However, most frameworks for elicitation assume a predefined set of fe...