Inferring Eudaimonia and Hedonia from Digital Traces

In this chapter we survey methods for inferring two types of characteristics for personalized systems: eudaimonia and hedonia (E and H). The rationale for focusing on these two characteristics is the potential to make good recommendations and the even bigger potential for creating good explanations. We first conceptualize the concepts of E and H for the purposes of personalized systems by disentangling the user preferences from the item characteristics. We proceed on surveying methods for inferring EH user characteristics from digital user traces. We follow with an overview of methods for inferring EH item characteristics from item content. Finally we provide an outlook into the future work.