Recommender systems have been pervasively applied as a technique of suggesting travel
recommendations to tourists. Actually, recommendation systems significantly contribute to …

Recommendation systems play an indispensable role in tourists' decision-making process.
An important issue for tourists concerns the selection of accommodation in accordance with …

Recommender systems-RS-have experienced exponential growth in various fields,
especially in the tourism sector, improving tourism activities' accuracy, personalization, and …

Providing recommendations in cold start situations is one of the most challenging problems
for collaborative filtering based recommender systems (RSs). Although user social context …

Many of e-learning systems in their web-based courses do not have personalisation based
on individual needs and their capabilities. Main challenging aspect of personalised delivery …

The user data mining was introduced into the model construction process, and the user
behavior was decomposed by analyzing various influencing factors through the factorization …

Zusammenfassung Digitales Besuchermanagement beschreibt die Beeinflussung von
Reise-und Ausflugsentscheidungen durch digitale Verfahren zur Vermeidung von …

Modal share of cycling is growing; however, information services are to be significantly
improved. Our research aim was to reveal, how the available real-time data can be used to …

A Recommender System essentially focusses on recommending the most significant items
to the users based on their preferences. The objective of a recommender system is to create …

This article presents a summarization of the doctoral thesis which proposes efficient hybrid
intelligent algorithms in recommendation systems. Development of effective …