We present a research tool for user preference elicitation that collects both explicit user feedback and unobtrusively acquired facial expressions. The concrete implementation is a web-based user interface where the user is presented with two music ...

The Workshop on Recommenders in Tourism (RecTour) 2017, which is held in conjunction with the eleventh Conference on Recommender Systems (RecSys), addresses specific challenges for recommender systems within the tourism domain. In this overview, we ...

The 2017 Workshop on Health Recommender Systems was held in conjunction with the 2017 ACM Conference on Recommender Systems in Como, Italy. Following the fists workshop in 2016, the focus of this workshop was on enhancing the results of the first ...

Hybrid recommender systems combine several different sources of information to generate recommendations. These systems demonstrate improved accuracy compared to single-source recommendation strategies. However, hybrid recommendation strategies are ...

People often struggle to find appropriate energy-saving measures to take in the household. Although recommender studies show that tailoring a system's interaction method to the domain knowledge of the user can increase energy savings, they did not ...

The main goal of a Recommender System is to suggest relevant items to users, although other utility dimensions - such as diversity, novelty, confidence, possibility of providing explanations - are often considered. In this work, in order to increase the ...

The technical barriers for conversing with recommender systems using natural language are vanishing. Already, there are commercial systems that facilitate interactions with an AI agent. For instance, it is possible to say "what should I watch" to an ...

As intelligent interactive systems, recommender systems focus on determining predictions that fit the wishes and needs of users. Still, a large majority of recommender systems research focuses on accuracy criteria and much less attention is paid to how ...

The first Workshop on Responsible Recommendation (FATREC) was held in conjunction with the 11th ACM Conference on Recommender Systems in August, 2017 in Como, Italy. This full-day workshop brought together researchers and practitioners to discuss ...

Recommender systems nowadays have many applications and are of great economic benefit. Hence, it is imperative for success-oriented companies to compare various of such systems and select the better one for their purposes. To this end, various metrics ...