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 review of citation recommendation: from textual content to enriched context
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 …
scholar users spend a lot of time and experiences for literature survey. With the burgeoning …
Hidden features identification for designing an efficient research article recommendation system
The digital repository of research articles is increasing at a rapid rate and hence searching
the right paper becoming a tedious task for researchers. A research paper recommendation …
the right paper becoming a tedious task for researchers. A research paper recommendation …
Research paper recommendation based on content similarity, peer reviews, authority, and popularity
YK Ng - 2020 IEEE 32nd international conference on tools with …, 2020 - ieeexplore.ieee.org
According to the Canadian Science Publishing, there are approximately 2.5 million scientific
papers published each year. The huge volume of publications can be contributed to a …
papers published each year. The huge volume of publications can be contributed to a …
ICA-CRMAS: Intelligent Context-Awareness Approach for Citation Recommendation based on Multi-Agent System
HE Degha, FZ LAALLAM - ACM Transactions on Management …, 2024 - dl.acm.org
Navigating the ever-expanding sea of scientific literature presents a daunting challenge for
researchers seeking relevant and up-to-date information. Traditional citation …
researchers seeking relevant and up-to-date information. Traditional citation …
Information processing in research paper recommender system classes
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 …
the quest of getting better tools and technologies to improve the recommendation of relevant …
A survey on data mining techniques in research paper recommender systems
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 …
utilized in the context of research paper recommender systems. These techniques refer to …
Web usage mining and text mining in the environment of web personalization for ontology development of recommender systems
T Bhattacharya, A Jaiswal… - 2016 5th International …, 2016 - ieeexplore.ieee.org
Recommender system is something that every website or app that provides a reliable
interface of user must have. It prevents user from wasting time in segregating what he needs …
interface of user must have. It prevents user from wasting time in segregating what he needs …
Using a deep learning model, content features, and author metadata to recommend research papers
SH Lam, E Brewer, YK Ng - 2020 IEEE 21st International …, 2020 - ieeexplore.ieee.org
According to the Canadian Science Publishing, there are approximately 2.5 million scientific
papers published each year. The huge volume of publications can be contributed to a …
papers published each year. The huge volume of publications can be contributed to a …
An Autonomous Multi-Agent System for Customized Scientific Literature Recommendation: A Tool for Researchers and Students.
A Herrouz, M Djoudi, HE Degha… - … des Systèmes d' …, 2023 - search.ebscohost.com
The ever-accelerating growth in scientific literature presents a formidable challenge for
researchers and students aiming to stay abreast of the most recent findings. Previous …
researchers and students aiming to stay abreast of the most recent findings. Previous …