Scientific paper recommendation systems: a literature review of recent publications
CK Kreutz, R Schenkel - International journal on digital libraries, 2022 - Springer
Scientific writing builds upon already published papers. Manual identification of publications
to read, cite or consider as related papers relies on a researcher's ability to identify fitting …
to read, cite or consider as related papers relies on a researcher's ability to identify fitting …
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 …
Digitalising the systematic literature review process: the MySLR platform
The main contribution of this paper is the development of a digital platform to support
researchers in conducting systematic literature reviews (SLRs). The digital platform is able to …
researchers in conducting systematic literature reviews (SLRs). The digital platform is able to …
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 …
An overview and evaluation of citation recommendation models
Recommendation systems assist web users with personalized suggestions based on past
preferences for products, or items including documents, books, movies, and research …
preferences for products, or items including documents, books, movies, and research …
A graph-based taxonomy of citation recommendation models
Recommender systems have been used since the beginning of the Web to assist users with
personalized suggestions related to past preferences for items or products including books …
personalized suggestions related to past preferences for items or products including books …
Institutional collaboration recommendation: An expertise-based framework using NLP and network analysis
The shift from 'trust-based funding'to 'performance-based funding'is one of the factors that
has forced institutions to strive for continuous improvement of performance. Several studies …
has forced institutions to strive for continuous improvement of performance. Several studies …
Insights into relevant knowledge extraction techniques: a comprehensive review
More than 50 million journal papers will have been published by the end of 2019 with 2
million more journal papers published every year. The number of conference papers is even …
million more journal papers published every year. The number of conference papers is even …
Learning multi-resolution representations of research patterns in bibliographic networks
This study aims at representing research patterns of bibliographic entities (eg, scholars,
papers, and venues) with a fixed-length vector. Bibliographic network structures rooted in …
papers, and venues) with a fixed-length vector. Bibliographic network structures rooted in …
Content‐based and knowledge graph‐based paper recommendation: Exploring user preferences with the knowledge graphs for scientific paper recommendation
H Tang, B Liu, J Qian - Concurrency and Computation: Practice …, 2021 - Wiley Online Library
Researchers usually face difficulties in finding scientific papers relevant to their research
interests due to increasing growth. Recommender systems emerge as a leading solution to …
interests due to increasing growth. Recommender systems emerge as a leading solution to …