In the scope of explainable artificial intelligence, explanation techniques are heavily studied
to increase trust in recommender systems. However, studies on explaining …

As people's demand for eating out is steadily increasing, the number of restaurants is
continuously increasing, and catering industry platforms such as Yelp, Open Table, and …

Abstract Open Educational Resources (OERs), now available in large numbers, have a
considerable potential to improve many aspects of society, yet one of the factors limiting this …

Explainable recommendation systems (ERSs) have attracted increasing attention from
researchers, which generate high-quality recommendations with intuitive explanations to …

On the subject of broadcasting the information, finding someone's favorite book or movie in a
sea of data containing books and movies has become a crucial issue. In an era when there …

Citizen science projects promise to increase scientific productivity while also connecting
science with the general public. They create scientific value for researchers and provide …

It is becoming increasingly common for intelligent systems, such as recommender systems,
to provide explanations for their generated recommendations to the users. However, we still …

In the era of Big Knowledge Graphs, Question Answering (QA) systems have reached a
milestone in their performance and feasibility. However, their applicability, particularly in …

Анотація Предметом вивчення в статті є процеси представлення пояснень для
персоналізованих пропозицій в рекомендаційних системах. Метою є розробка моделі …

The study of explainable artificial intelligence in education is a major preoccupation of the
research community. In this paper, we introduce explanations in a competency-based …