In the last 16 years, more than 200 research articles were published about research-paper
recommender systems. We reviewed these articles and present some descriptive statistics in …

Due to the exponential growth of textual data and web sources, an automatic mechanism is
required to identify relevant information embedded within them. The utility of Automatic …

Globally, the recommendation services have become important due to the fact that they
support e-commerce applications and different research communities. Recommender …

Over 80 approaches for academic literature recommendation exist today. The approaches
were introduced and evaluated in more than 170 research articles, as well as patents …

Finding relevant papers is a non-trivial problem for scholars due to the tremendous amount
of academic information in the era of scholarly big data. Scientific paper recommendation …

Now a day's recommendation system has changed the style of searching the things of our
interest. This is information filtering approach that is used to predict the preference of that …

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 …

Citation recommendation systems play an important role to alleviate the dilemma that
scholar users spend a lot of time and experiences for literature survey. With the burgeoning …

Keyword and keyphrase extraction is an important problem in natural language processing,
with applications ranging from summarization to semantic search to document clustering …

Academic search engines have been widely used to access academic papers, where users'
information needs are explicitly represented as search queries. Some modern recommender …