Digital twin driven human–robot collaborative assembly

Generating Collaborative Systems for Digital Libraries: a Model-Driven Approach

The design and development of a Digital Library involves different stakeholders, such as: information architects, librarians and domain experts, who need to agree on a common language in order to describe, discuss, and negotiate the services the library has to offer. To this end, high-level, language-neutral models have to be devised. Metamodeling techniques favour the definition of Domain Spec...

Digital Twin of Manufacturing Systems

The digitization of manufacturing systems is at the crux of the next industrial revolutions. The digital representation of the “Physical Twin,” also known as the “Digital Twin,” will help in maintaining the process quality effectively by allowing easy visualization and incorporation of cognitive capability in the system. In this technical report, we tackle two issues regarding the Digital Twin:...

Profile driven Collaborative Filtering

The problem of Recommender systems is to apply knowledge discovery techniques and to provide personalized recommendations. A recommender system tracks past actions of a group of users to make recommendations to individual members of the group. In today’s e-commerce world these systems are achieving widespread success. Content based and collaborative filtering based approaches are the two major ...

Goal-driven collaborative filtering

Recommender systems aim to identify interesting items (e.g. movies, books, websites) for a given user, based on their previously expressed preferences. As recommender systems grow in popularity, a notable divergence emerges between research practices and the reality of deployed systems: when recommendation algorithms are designed, they are evaluated in a relatively static context, mainly concer...

Measuring Collaborative Digital Literacy