Structured datasets are difficult to keep up-to-date since the underlying facts evolve over time; curated data about business financials, organizational hierarchies, or drug interactions are constantly changing. Drafty is a platform that enlists visitors of an editable dataset to become “user-editors” to help solve this problem. It records and analyzes user-editors’ withinpage interactions to c...

Along with the educational expansion and the increasing demand regarding accountability for the outcomes of higher education institutions, a great emphasis is put on students' feedback. The present paper is focused on the educational results obtained by the implementation of student satisfaction surveys in a Romanian university. The survey instruments measure three dimensions (the teaching and ...

Nowadays, developers and service providers put a lot of effort on collecting and analyzing user feedback with the purpose of improving their applications and services. This motivates the proposal of new tools to collect and analyze feedback. In our work, we develop a user feedback ontology, aimed at clarifying the concepts of this domain. For that, we follow a goal-oriented methodology to ident...

Collaborative filtering is the method of choice for inferring complex user preference patterns from large collections of feedback data. •Explicit feedback: ratings given by users to items – Received a lot of attention: several very effective methods – Ratings can be scarce or expensive to collect • Implicit feedback: user purchase or click history – Easier to collect than explicit feedback: pro...

The spread of social networks and other online collaboration-related practices changes the target of software products from a single user to virtual communities. Such communities view user interfaces of social websites as communication partners (facilitators) rather than mere communication medium. Effective communication requires proper feedback from community-driven systems that create the ill...