The Role of Document Embedding in Research Paper Recommender Systems: To Breakdown or to Bolster Disciplinary Borders?
In the extensive recommender systems literature, novelty and diversity have been identified
as key properties of useful recommendations. However, these properties have received …
as key properties of useful recommendations. However, these properties have received …
A collaborative approach for research paper recommender system
Research paper recommenders emerged over the last decade to ease finding publications
relating to researchers' area of interest. The challenge was not just to provide researchers …
relating to researchers' area of interest. The challenge was not just to provide researchers …
Exploiting potential citation papers in scholarly paper recommendation
K Sugiyama, MY Kan - Proceedings of the 13th ACM/IEEE-CS joint …, 2013 - dl.acm.org
To help generate relevant suggestions for researchers, recommendation systems have
started to leverage the latent interests in the publication profiles of the researchers …
started to leverage the latent interests in the publication profiles of the researchers …
Combining citation network information and text similarity for research article recommender systems
JA Sterling, MM Montemore - IEEE Access, 2021 - ieeexplore.ieee.org
Researchers often need to gather a comprehensive set of papers relevant to a focused topic,
but this is often difficult and time-consuming using existing search methods. For example …
but this is often difficult and time-consuming using existing search methods. For example …
Deep Learning Models for Research Paper Recommender Systems
HAIM MOHAMED - 2020 - arcadia.sba.uniroma3.it
The amount of scholarly publications has been rapidly increasing during the last decades.
The need to intelligently process such amount and produce rec ommendations to …
The need to intelligently process such amount and produce rec ommendations to …
Evaluation of Citation Graph Thematic Dataset Construction and Paper Filtering Methods for Research Literature Recommendation
A Farhat - 2023 - spectrum.library.concordia.ca
One of the main challenges faced by new researchers is immersing themselves in the
existing literature relevant to their field of interest. The vastness and continuous growth of …
existing literature relevant to their field of interest. The vastness and continuous growth of …
Capturing and exploiting citation knowledge for recommending recently published papers
A Khadka, I Cantador… - 2020 IEEE 29th …, 2020 - ieeexplore.ieee.org
With the continuous growth of scientific literature, discovering relevant academic papers for
a researcher has become a challenging task, especially when looking for the latest, most …
a researcher has become a challenging task, especially when looking for the latest, most …
A comprehensive evaluation of scholarly paper recommendation using potential citation papers
K Sugiyama, MY Kan - International Journal on Digital Libraries, 2015 - Springer
To help generate relevant suggestions for researchers, recommendation systems have
started to leverage the latent interests in the publication profiles of the researchers …
started to leverage the latent interests in the publication profiles of the researchers …
[PDF][PDF] An ArXiv paper recommender
M Shyani - 2021 - cs230.stanford.edu
We live in one of the most prolific eras of scientific research. More than 15,000 research
papers are submitted to the Arxiv preprint server every month. It has become impossible for …
papers are submitted to the Arxiv preprint server every month. It has become impossible for …