Innovative solutions targeting improvements in the behavior of energy consumers will be
required to achieve desired efficiency in the use of energy. Among other measures for …

Recommender systems help users find information by recommending content that a user
might not know about, but will hopefully like. Rating-based collaborative filtering …

In recent years, researchers in the field of recommender systems have explored a range of
advanced interfaces to improve user interactions with recommender systems. Some of the …

Recommender systems have shown to be valuable tools for filtering, ranking, and discovery
in a variety of application domains such as e-commerce, media repositories or document …

Smartphones with inbuilt location-sensing technologies are now creating a new realm for
recommender systems research and pratice. In this chapter, we focus on recommender …

The beyond-relevance objectives of recommender systems have been drawing more and
more attention. For example, a diversity-enhanced interface has been shown to associate …

The social web has brought about many new types of recommender systems. One of the
most important is recommendation of people, which bears many unique characteristics and …

This paper outlines RSR, a relational social recommendation approach applied to a social
graph comprised of relational entity profiles. RSR uses information extraction and learning …

Purpose This study aims to compare the impacts of proceedings papers in the fields of social
science and humanities (SSH) and science. Design/methodology/approach This study …

Traditionally, recommender systems have relied on user preference data (such as ratings)
and product descriptions (such as meta-data) as primary sources of recommendation …