Visualizations have a distinctive advantage when dealing with the information overload
problem: Because they are grounded in basic visual cognition, many people understand …

Abstract Internet of Things (IoT) is the next wave of industry revolution that will initiate many
services, such as personal health care and green energy monitoring, which people may …

Recommender systems have become important tools to support users in identifying relevant
content in an overloaded information space. To ease the development of recommender …

In this paper, we present work-in-progress of a recently started project that aims at studying
the effect of time in recommender systems in the context of social tagging. Despite the …

In this paper, we study factors that influence tag reuse behavior in social tagging systems.
Our work is guided by the activation equation of the cognitive model ACT-R, which states …

Internet of Things (IoT) is a new paradigm that refers to a world-wide network of
interconnected physical things using standardized communication protocols to provide …

In recent years, several successful tag recommendation mechanisms have been developed
that, among others, built upon Collaborative Filtering, Tensor Factorization, graph-based …

Recommender systems have become a pervasive part of our daily online experience, and
are one of the most widely used applications of artificial intelligence and machine learning …

In this chapter, we discuss how to utilize human memory models for the task of modeling
music preferences for recommender systems. Therefore, we discuss the theoretical …

The micro-blogging platform Twitter allows its nearly 320 million monthly active users to
build a network of follower connections to other Twitter users (ie, followees) in order to …