Incorporating contextual information in recommender systems is an effective approach to
create more accurate and relevant recommendations. This review has been conducted to …

The use of data mining modern technology in library management systems and information
centers is of great importance. With the increasing availability of a large quantity of …

Libraries, as organizations that typically deal with significant amounts of data, can use data
mining techniques to make informed decisions based on discovered knowledge to optimize …

In order to show the effectiveness of using (a) library loan records and (b) information about
book contents as a basis for book recommendations, we entered various data into a support …

This paper aims to develop an open source automated library system with book
recommendation by using a combined method applied for small library systems. This …

With the current growth of the proposed contextual recommending algorithms, evaluating
them becomes more critical. Researchers of recommender systems have expressed …

This paper proposed the algorithms of book recommendation for the open source of library
automation by using machine learning method of support vector machine. The algorithms …

Purpose This study aims to analyze and predict a user's behavior and create recommender
systems in libraries and information centers, using data mining techniques …

Recent research into the functionality of Online Public Access Catalogues (OPACs) has led
to a call for such systems to incorporate functionality to facilitate resource discovery, and …

Sometimes users face difficulty in searching required content on the digital platform due to
an enοrmous amοunt of information. But this hassle may be solved with the assist of a …