Context-aware recommender system: A review of recent developmental process and future research direction
Intelligent data handling techniques are beneficial for users; to store, process, analyze and
access the vast amount of information produced by electronic and automated devices. The …
access the vast amount of information produced by electronic and automated devices. The …
Scholarly recommendation systems: a literature survey
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 …
resources such as literature, datasets, grants, and collaborators. A well-designed scholarly …
Information extraction from scientific articles: a survey
In last few decades, with the advent of World Wide Web (WWW), world is being overloaded
with huge data. This huge data carries potential information that once extracted, can be used …
with huge data. This huge data carries potential information that once extracted, can be used …
High-Performance Artificial Intelligence Recommendation of Quality Research Papers Using Effective Collaborative Approach
VK Venkatesan, MT Ramakrishna, A Batyuk, A Barna… - Systems, 2023 - mdpi.com
The Artificial Intelligence Recommender System has emerged as a significant research
interest. It aims at helping users find things online by offering recommendations that closely …
interest. It aims at helping users find things online by offering recommendations that closely …
An anatomization of research paper recommender system: Overview, approaches and challenges
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 …
recommender systems which have become very popular and gained a lot of research …
A collaborative approach toward scientific paper recommendation using citation context
Researchers face difficulties in finding relevant papers to their research interest as the
number of scientific publication is rapidly increasing on the web. Scientific paper …
number of scientific publication is rapidly increasing on the web. Scientific paper …
Collaborative filtering with network representation learning for citation recommendation
Citation recommendation plays an important role in the context of scholarly big data, where
finding relevant papers has become more difficult because of information overload. Applying …
finding relevant papers has become more difficult because of information overload. Applying …
[HTML][HTML] A content-based literature recommendation system for datasets to improve data reusability–A case study on Gene Expression Omnibus (GEO) datasets
Objective The centrality of data to biomedical research is difficult to understate, and the
same is true for the importance of the biomedical literature in disseminating empirical …
same is true for the importance of the biomedical literature in disseminating empirical …
A hybrid approach toward research paper recommendation using centrality measures and author ranking
The volume of research articles in digital repositories is increasing. This spectacular growth
of repositories makes it rather difficult for researchers to obtain related research papers in …
of repositories makes it rather difficult for researchers to obtain related research papers in …
Eliciting auxiliary information for cold start user recommendation: A survey
Recommender systems suggest items of interest to users based on their preferences. These
preferences are typically generated from user ratings of the items. If there are no ratings for a …
preferences are typically generated from user ratings of the items. If there are no ratings for a …