This research examines how individuals respond differently to recommendation options
generated by ChatGPT, an AI-powered language model, in five studies. In contrast to …

“Nature shows us only the tail of the lion. But I do not doubt that the lion belongs to it even
though he cannot at once reveal himself because of his enormous size.”–Albert Einstein The …

This textbook explores the different aspects of data mining from the fundamentals to the
complex data types and their applications, capturing the wide diversity of problem domains …

Modern recommender systems appeared during the last decade of the 20th century and
have already proven their importance in tackling with information overload and content or …

Learning styles, learners' preferred ways to learn, can be applied to design personalized
learning courses for the individual learner. One of those applications is the recommender …

In this age of information overload, people use a variety of strategies to make choices about
what to buy, how to spend their leisure time, and even whom to date. Recommender …

Abstract Recommender Systems (RSs) are software tools and techniques providing
suggestions for items to be of use to a user. In this introductory chapter we briefly discuss …

The increasing importance of the Web as a medium for electronic and business transactions
has served as a driving force for the development of recommender systems technology. An …

Liu has written a comprehensive text on Web mining, which consists of two parts. The first
part covers the data mining and machine learning foundations, where all the essential …

The rapid growth of the Web in the past two decades has made it the largest publicly
accessible data source in the world. Web mining aims to discover useful information or …