Recommender Systems are intelligent systems which are used as an expert in making
decisions in real life problems. They have replicated the human experts and positively …

Large scale data and predictive analytics are the most challenging tasks in the field of
academic data mining. Academic libraries are a great source of information and knowledge …

The exponential growth of recommender systems research has drawn the attention of the
scientific community recently. These systems are very useful in reducing information …

Recommender systems are important tools in library websites that assists the user to find the
appropriate books. With the rapid development of internet technologies and the number of …

Recommender systems are used to access appropriate items and information by
personalized suggestions based on user previous preferences and their likes & dislikes …

Purpose This paper aims to describe the usage of a hybrid weightage-based recommender
system focused on books and implementing it at an industrial level, using various …

Library plays an important role in assist learning for college and university students. Thus,
effectiveness and efficiency of book recommendation system is a significant issue which …

Purpose This paper aims to explore the realm of literature about personalization of digital
library services. This paper focuses on users' unique needs and will identify different types of …

Large data repositories helped us in support systems but created a huge problem for
meaningful information retrieval. Filtering of data based on user requirements solved this …

Digital library as one of the most important ways in helping students acquire professional
knowledge and improve their professional level has gained great attention in recent years …