Despite the increasing availability of groupware, most systems are awkward and not widely used. While there are many reasons for this, a significant problem is that groupware is di...
Most recommendation methods (e.g., collaborative filtering) consist of (1) a computationally intense offline phase that computes a recommender model based on users’ opinions o...
Justin J. Levandoski, Mohamed Sarwat, Mohamed F. M...
Conversational recommender systems support human-computer interaction strategies in order to assist online tourists in the important activity of dynamic packaging, i.e., in buildi...
Abstract. User-to-user similarity is a fundamental component of Collaborative Filtering (CF) recommender systems. In user-to-user similarity the ratings assigned by two users to a ...
This paper discusses how model-based approaches can support designers and developers to address a number of challenges raised by universal usability, such as the possibility of ob...