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Academic social networks: Modeling, analysis, mining and applications
In the fast-growing scholarly big data background, social network technologies have recently
aroused widespread attention in academia and industry. The concept of academic social …
aroused widespread attention in academia and industry. The concept of academic social …
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 …
[HTML][HTML] Futures of artificial intelligence through technology readiness levels
Artificial Intelligence (AI) offers the potential to transform our lives in radical ways. However,
the main unanswered questions about this foreseen transformation are its depth, breadth …
the main unanswered questions about this foreseen transformation are its depth, breadth …
Cross-domain collaboration recommendation
Interdisciplinary collaborations have generated huge impact to society. However, it is often
hard for researchers to establish such cross-domain collaborations. What are the patterns of …
hard for researchers to establish such cross-domain collaborations. What are the patterns of …
HNERec: Scientific collaborator recommendation model based on heterogeneous network embedding
X Liu, K Wu, B Liu, R Qian - Information Processing & Management, 2023 - Elsevier
Scientific collaboration contributes to the innovation of science and technology. For
individual scholars, it is valuable to find potential and valuable collaborators to improve the …
individual scholars, it is valuable to find potential and valuable collaborators to improve the …
Citeseerx: Ai in a digital library search engine
CiteSeerX is a digital library search engine providing access to more than five million
scholarly documents with nearly a million users and millions of hits per day. We present key …
scholarly documents with nearly a million users and millions of hits per day. We present key …
A multi-level fusion based decision support system for academic collaborator recommendation
In academia, researchers collaborate with their peers to improve the quality of research and
thereby enhance academic profiles. However, information overload in big scholarly data …
thereby enhance academic profiles. However, information overload in big scholarly data …
[Књига][B] Academic search engines: A quantitative outlook
JL Ortega - 2014 - books.google.com
Academic Search Engines intends to run through the current panorama of the academic
search engines through a quantitative approach that analyses the reliability and consistence …
search engines through a quantitative approach that analyses the reliability and consistence …
Exploiting publication contents and collaboration networks for collaborator recommendation
Thanks to the proliferation of online social networks, it has become conventional for
researchers to communicate and collaborate with each other. Meanwhile, one critical …
researchers to communicate and collaborate with each other. Meanwhile, one critical …
Context-aware academic collaborator recommendation
Collaborator Recommendation is a useful application in exploiting big academic data.
However, existing works leave out the contextual restriction (ie, research topics) of people's …
However, existing works leave out the contextual restriction (ie, research topics) of people's …