A recommender system is employed to accurately recommend items, which are expected to
attract the user's attention. The over-emphasis on the accuracy of the recommendations can …

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 …

Increased advancement in a variety of study subjects and information technologies, has
increased the number of published research articles. However, researchers are facing …

Research-related publications and articles have flooded the internet, and researchers are in
the quest of getting better tools and technologies to improve the recommendation of relevant …

In this chapter, the authors give an overview of the main data mining techniques that are
utilized in the context of research paper recommender systems. These techniques refer to …

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 …

With the continuous growth of scientific literature, it is becoming increasingly challenging to
discover relevant scientific publications from the plethora of available academic digital …

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 …