Recently, food recommender systems have received increasing attention due to their
relevance for healthy living. Most existing studies on the food domain focus on …

Automated recommendations have become a ubiquitous part of today's online user
experience. These systems point us to additional items to purchase in online shops, they …

Recommender systems provide personalized service support to users by learning their
previous behaviors and predicting their current preferences for particular products. Artificial …

“Nature shows us only the tail of the lion. But I do not doubt that the lion belongs to it even
though he cannot at once reveal himself because of his enormous size.”–Albert Einstein The …

People often ask others for restaurant recommendations as a way to discover new dining
experiences. This makes restaurant recommendation an exciting scenario for recommender …

The increasing importance of the Web as a medium for electronic and business transactions
has served as a driving force for the development of recommender systems technology. An …

This chapter shows how a system can recommend to a group of users by aggregating
information from individual user models and modelling the users affective state. It …

Recommendation systems, prevalent in many applications, aim to surface to users the right
content at the right time. Recently, researchers have aspired to develop conversational …

Conversational and question-based recommender systems have gained increasing
attention in recent years, with users enabled to converse with the system and better control …

Online learning environments (OLE) including learning management systems (LMS) and
massive open online courses (MOOCs) are gaining popularity as the best modern alternate …