An automated book recommendation system has becoming a necessary role in increasing
the efficacy and user experience of college library. The number of books in the library is very …

With the rapid growth of e-books and e-libraries, it becomes difficult for people to find right
books from the flood of information. Personalized recommender system has been developed …

Recommender systems are tools that help end users recommend products and obtain
information about their preferences by going online. Today's online bookstores compete with …

The information construction work of university libraries is becoming increasingly perfect.
However, the massive amount of data poses significant challenges to the personalized …

The recommender system (RS) shows a personalized recommendation by separating the
data based on what clients like. Nowadays, people want to buy the most popular products …

Mobile apps have revolutionized almost every aspect of our daily lives, sha** the way we
shop, learn and work. The transformative and unprecedented impact they have made on our …

With the deepening of tourists' demand for tourism services, the personalization of online
tourists has gradually become an application of personalized recommendation technology …

Since online electronic books have become popular, book recommendation systems have
been invented and challenged to handle the high demand from users in the digital era. This …

In addition to a more extreme network experience and larger network capacity, 5G can also
be used to rapidly transmit massive global text data at higher transmission speeds and …

This paper is a comprehensive study of implementing the Hybrid Semantic Ontology-based
(HSO) model on the library book recommendation system. The study does not merely focus …