A review of citation recommendation: from textual content to enriched context
Published 2020 View Full Article
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Title
A review of citation recommendation: from textual content to enriched context
Authors
Keywords
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Journal
SCIENTOMETRICS
Volume 122, Issue 3, Pages 1445-1472
Publisher
Springer Science and Business Media LLC
Online
2020-01-03
DOI
10.1007/s11192-019-03336-0
References
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Related references
Note: Only part of the references are listed.- Academic paper recommender system using multilevel simultaneous citation networks
- (2018) Jieun Son et al. DECISION SUPPORT SYSTEMS
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- (2018) Xiaoyan Cai et al. IEEE Transactions on Neural Networks and Learning Systems
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- VOPRec: Vector Representation Learning of Papers with Text Information and Structural Identity for Recommendation
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- (2017) Aravind Sesagiri Raamkumar et al. INFORMATION PROCESSING & MANAGEMENT
- A hybrid approach for article recommendation in research social networks
- (2017) Jianshan Sun et al. JOURNAL OF INFORMATION SCIENCE
- Exploiting Fine-Grained Co-Authorship for Personalized Citation Recommendation
- (2017) Lantian Guo et al. IEEE Access
- Explore semantic topics and author communities for citation recommendation in bipartite bibliographic network
- (2017) Tao Dai et al. Journal of Ambient Intelligence and Humanized Computing
- The time dimension of science: Connecting the past to the future
- (2017) Yian Yin et al. Journal of Informetrics
- A systematic literature review of Linked Data-based recommender systems
- (2015) Cristhian Figueroa et al. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
- A scientometric review of emerging trends and new developments in recommendation systems
- (2015) Meen Chul Kim et al. SCIENTOMETRICS
- Growth rates of modern science: A bibliometric analysis based on the number of publications and cited references
- (2015) Lutz Bornmann et al. Journal of the Association for Information Science and Technology
- Context-Based Collaborative Filtering for Citation Recommendation
- (2015) Haifeng Liu et al. IEEE Access
- Diversifying Citation Recommendations
- (2014) Onur Küçüktunç et al. ACM Transactions on Intelligent Systems and Technology
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- (2013) Fattane Zarrinkalam et al. PROGRAM-ELECTRONIC LIBRARY AND INFORMATION SYSTEMS
- A literature review and classification of recommender systems research
- (2012) Deuk Hee Park et al. EXPERT SYSTEMS WITH APPLICATIONS
- Recommender systems: from algorithms to user experience
- (2012) Joseph A. Konstan et al. USER MODELING AND USER-ADAPTED INTERACTION
- Multilevel Compression of Random Walks on Networks Reveals Hierarchical Organization in Large Integrated Systems
- (2011) Martin Rosvall et al. PLoS One
- Large scale image annotation: learning to rank with joint word-image embeddings
- (2010) Jason Weston et al. MACHINE LEARNING
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