Recommender systems are software applications that help users to find items of interest in
situations of information overload. Current research often assumes a one-shot interaction …

In collaborative filtering recommender systems user's preferences are expressed as ratings
for items, and each additional rating extends the knowledge of the system and affects the …

Point-of-Interest recommendation is an area of increasing research and development
interest within the widely adopted technologies known as Recommender Systems. Among …

Conversational recommender systems (CRS) have become popular in recent years and
have gained the attention of researchers. More emphasis is given to user choices and …

Abstract The Internet Of Things (IoT) is an emerging paradigm that envisions a networked
infrastructure enabling different types of devices to be interconnected. It creates different …

Over the years, personalisation in e‐learning has evolved as a promising paradigm for
matching learners' specific requirements. Although many literature reviews on personalised …

Recommender systems can be characterized as software solutions that provide users with
convenient access to relevant content. Traditionally, recommender systems research …

Animated avatars, which look and talk like humans, are iconic visions of the future of AI-
powered systems. Through many sci-fi movies, we are acquainted with the idea of speaking …

Recommender systems (RSs) are information search and filtering tools that provide
suggestions for items to be of use to a user. They are now common in many Internet …

The present work overviews the application of recommender systems in various financial
domains. The relevant literature is investigated based on two directions. First, a domain …