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

The purpose of this study is to present an exhaustive analysis on research paper
recommender systems which have become very popular and gained a lot of research …

This research work presents a framework to build a hybrid expert recommendation system
that integrates the characteristics of content-based recommendation algorithms into a social …

Technology (ARIST) and, not surprisingly, it reflects a third perspective. Five years ago, Fox
and Urs (2002) reported on the literature of the digital library largely as an engineering …

We envisage an information source not only as an information resource where users may
submit queries to satisfy their daily information need, but also as a collaborative working and …

Every day, a huge amount of newly created information is electronically published in digital
libraries. Complementary to the usual vision, we envisage a digital library not only as an …

In order to provide better information consistent with their preferences features for users,
personalized recommendation technology has become an important research field of digital …

Users of a digital book library system typically interact with the system to search for books by
querying on the meta data describing the books or to search for information in the pages of a …

Research in recommender systems focuses on applications such as in online shopping
malls and simple information systems. These systems consider user profile and item …

Abstract Usually, a Digital Library (DL) is an information resource where users may submit
queries to satisfy their daily information need. The CYCLADES system envisages a DL …