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 …

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 …

Book suggestions may be used by users to explore and search for books on the internet.
Given a vast number of items and descriptions that correlate to the user's requirements, our …

For online education platforms, a personalized recommendation system is crucial, and the
collaborative filtering algorithm is the primary recommendation algorithm used. This study …

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 …

In this digital age, we are faced with countless choices of books. Finding books that match
our interests and desires becomes a complex challenge. However, the existence of a book …

Bug adalah kesalahan sistem yang menyebabkan ketidaksesuaian antara harapan
pengguna dengan aktualisasinya. Bug sering muncul dari kesalahan pemrograman, dan …

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 …