Abstract The Internet Of Things (IoT) is an emerging paradigm that envisions a networked
infrastructure enabling different types of devices to be interconnected. It creates different …

When deciding where to visit next while traveling in a group, people have to make a trade-off
in an interactive group recommender system between (a) disclosing their personal …

User preferences are a crucial input needed by recommender systems to determine relevant
items. In single-shot recommendation scenarios such as content-based filtering and …

Psychological factors such as personality, emotions, social connections, and decision
biases can significantly affect the outcome of a decision process. These factors are also …

Whereas much research has looked at how recommendation systems influence online
purchase intentions, this article illustrates the dual process model by which they occur …

In this chapter, our aim is to show how group recommendation can be implemented on the
basis of recommendation paradigms for individual users. Specifically, we focus on …

In this paper, we provide insights into users' needs regarding the inclusion of explanations in
a movie recommender system. We have developed different variants of a movie …

Recommender systems assist users in decision-making, where the presentation of
recommended items and their explanations are critical factors for enhancing the overall user …

Constraint-based recommender systems help users to identify useful objects and services
based on a given set of constraints. These decision support systems are often applied in …

The intensity of domain knowledge exchange among group members is an important factor
that directly influences group decision quality. The more frequent information is exchanged …