Abstract Data Mining and Knowledge Discovery in Databases (KDD) is a research field
concerned with deriving higher-level insights from data. The tasks performed in that field are …

Over the last 20 years, cultural heritage has been a favored domain for personalization
research. For years, researchers have experimented with the cutting edge technology of the …

Abstract Recommender Systems (RSs) are software tools and techniques providing
suggestions for items to be of use to a user. In this introductory chapter we briefly discuss …

Medical information systems have been increasingly facilitating and improving the quality of
health monitoring, disease-trend modelling and early intervention with evidence-based …

One distinctive feature of any adaptive system is the user model that represents essential
information about each user. This chapter complements other chapters of this book in …

Cultural Heritage (CH) data is syntactically and semantically heterogeneous, multilingual,
semantically rich, and highly interlinked. It is produced in a distributed, open fashion by …

Personalized services have greater impact on user experience to effect the level of user
satisfaction. Many approaches provide personalized services in the form of an adaptive user …

In order to adapt functionality to their individual users, systems need information about these
users. The Social Web provides opportunities to gather user data from outside the system …

The idea that context is important when predicting customer behavior has been maintained
by scholars in marketing and data mining. However, no systematic study measuring how …

Provision of personalized recommendations to users requires accurate modeling of their
interests and needs. This work proposes a general framework and specific methodologies …