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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 …
On the current state of deep learning for news recommendation
The exponential outbreak of news articles makes it troublesome for the readers to find,
select and read the most relevant ones and alleviate the resulting information and cognitive …
select and read the most relevant ones and alleviate the resulting information and cognitive …
Research on semantic representation and citation recommendation of scientific papers with multiple semantics fusion
Y Lu, M Yuan, J Liu, M Chen - Scientometrics, 2023 - Springer
With the growth in scientific papers, citation recommendation which enables researchers to
find useful references efficiently and further to promote academic communication and …
find useful references efficiently and further to promote academic communication and …
TAPRec: time-aware paper recommendation via the modeling of researchers' dynamic preferences
With the number of scientific papers growing exponentially, recommending relevant papers
for researchers has become an important and attractive research area. Existing paper …
for researchers has become an important and attractive research area. Existing paper …
Knowledge Base Embeddings for a Recommendation Based on Overlap** Knowledge and Graph Learning
Y Zhao, T Wang - Arabian Journal for Science and Engineering, 2024 - Springer
Abstract Knowledge bases have grown in size and complexity due to the rapid development
of information technology, and recommendation algorithms are the key to solving the …
of information technology, and recommendation algorithms are the key to solving the …
Personalized global citation recommendation with diversification awareness
X Zhang, S Song, Y **ong - Scientometrics, 2024 - Springer
Citation recommendation helps researchers perform reference searching more efficiently.
Traditional methods often focus separately on diversification and personalization, each with …
Traditional methods often focus separately on diversification and personalization, each with …
Self-supervised scientific document recommendation based on contrastive learning
Scientific document recommendation aims to recommend scientific documents that have
similar content to a given target scientific document (eg, paper or patent, etc.). With the …
similar content to a given target scientific document (eg, paper or patent, etc.). With the …
SentCite: a sentence-level citation recommender based on the salient similarity among multiple segments
HC Wang, JW Cheng, CT Yang - Scientometrics, 2022 - Springer
Efficiently making adequate citations is becoming more challenging due to the rapidly
increasing volume of publications. In practice, citing the appropriate references is a time …
increasing volume of publications. In practice, citing the appropriate references is a time …