Improving user experience through personalization is one of the current research trends in
HCI. This includes recommendations that suit the preferences of all users (not only the …

Recommendation systems aim to provide end users with suggestions about items, social
elements, products or services that are likely to be of their interests. Most studies on …

Recommendation systems offer valuable assistance with selecting products and services.
This work checks the hypothesis that taking personality into account can improve …

This dissertation was written as a part of the MSc in ICT Systems at the International Hellenic
University. Its main goal is the examination of the role of human personality in Movie …

In movie domain, finding the appropriate movie to watch is a challenging task. This paper
proposes a recommender system that suggests movies in cinema that fit the user's available …

In recent years, user personality has been recognized as valuable info to build more
personalized recommender systems. However, the effort of explicitly acquiring users' …

Movie theaters and platforms offer a wide selection of movies that require filtering to match
the preferences of individual users. Recommender systems are an effective tool for this task …

Recommender systems suggest relevant items to users by acquiring user preferences and
exploiting them to build a type of user model. The main purpose of such a system is to match …

Recommender systems try to provide users with accurate personalized suggestions for
items based on an analysis and assessment of previous user behaviour and satisfaction …

Recommender systems are a representation of user choices for the purpose of suggesting
items to view or purchase. The Intelligent movie recommender system that is proposed …