The explosive growth in the amount of available digital information higher education has created a potential challenge overload, which hampers timely access to items interest. recommender systems are applied different domains such as recommendations film, tourist advising, webpages, news, songs, and products. But pay less attention university library services. most users students. These have la...

In this paper we present the Unison-CF algorithm, which provides an efficient way to combine multiple collaborative filtering approaches, drawing advantages from each one of them. Each collaborative filtering approach is treated as a separate component, allowing the Unison-CF algorithm to be easily extended. We evaluate the Unison-CF algorithm by applying it on three existing filtering approach...