Book reading recommendation system based on association rule data mining techniques
In library websites,recommender systems play a crucial role in assisting users in finding suitable books.With the rapid evolution of internet technologies and the ever-increasing volume of books,the traditional approach of utilizing library search systems for book discovery becomes both time-consuming and challenging.This research introduces a book reading recommendation system tailored for university libraries,aiming to support users with interests in the same disciplines and academic fields.The results demonstrate the applicability of the developed mining technique for implementing a book recommendation tool in the library,with higher accuracy values compared to alternative technologies.
university librarybook reading recommendation systemassociation rulesdata mining techniques
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