The growing use of Recommender Systems (RS) across various industries, including e-
commerce, social media, news, travel, and tourism, has prompted researchers to examine …

For group recommendations, one objective is to recommend an ordered set of items, a top-
N, to a group such that each individual recommendation is relevant for everyone. A common …

Group recommendation aims to suggest preferred items to a group of users rather than to an
individual user. Most existing methods on group recommendation directly learn theinherent …

More and more people are using smartphones and other mobile devices as their main
means for information access. This is especially true for travelers, and mobile applications …

Group recommendations aim to suggest items to a group of users based on their
preferences. Many group recommendations often consider various factors to calculate the …

A growing organizational trend is to utilize ad-hoc team formation which allows for teams to
intentionally form based on the member skills required to accomplish a specific task. Due to …

Recent advances in the performance of machine learning algorithms have led to the
adoption of AI models in decision making contexts across various domains such as …

Explanations can help users to better understand why items have been recommended.
Additionally, explanations for group recommender systems need to consider further goals …

In the travel industry, Tourism Recommender Systems (TRS) are gaining popularity as they
simplify trip planning for travelers by offering personalized recommendations for …

Group recommender systems (GRS) are a specific case of recommender systems (RS),
where recommendations are constructed to a group of users rather than an individual. GRS …