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 …

A scholarly recommendation system is an important tool for identifying prior and related
resources such as literature, datasets, grants, and collaborators. A well-designed scholarly …

Increasing progress in numerous research fields and information technologies, led to an
increase in the publication of research papers. Therefore, researchers take a lot of time to …

We argue that Content-based filtering (CBF) and Graph-based methods (GB) complement
one another in Academic Search recommendations. The scientific literature can be viewed …

In the current days of information overload, it is nearly impossible to obtain a form of relevant
knowledge from massive information repositories without using information retrieval and …

This dissertation was written as part of the MSc in e-Business and Digital Marketing at the
International Hellenic University, aiming to study the effectiveness of automatic …

Traditional recommendation paradigms such as content-based filtering (CBF) tend to
recommend items that are very similar to user profile characteristics and item input, resulting …