Centrality-Based Paper Citation Recommender System
Researchers cite papers in order to connect the new research ideas with previous research. For the purpose of finding suitable papers to cite, researchers spend a considerable amount of time and effort. To help researchers in finding relevant/important papers, we evaluated textual and topological si...
Main Authors: | Abdul Samad, Muhammad Arshad Islam, Muhammad Azhar Iqbal, Muhammad Aleem |
---|---|
Format: | Article |
Language: | English |
Published: |
European Alliance for Innovation (EAI)
2019-06-01
|
Series: | EAI Endorsed Transactions on Industrial Networks and Intelligent Systems |
Subjects: | |
Online Access: | https://eudl.eu/pdf/10.4108/eai.13-6-2019.159121 |
Similar Items
-
Academic Venue Recommendations Based on Similarity Learning of an Extended Nearby Citation Network
by: Abdulrhman M. Alshareef, et al.
Published: (2019-01-01) -
Investigating Maps of Science Using Contextual Proximity of Citations Based on Deep Contextualized Word Representation
by: Muhammad Roman, et al.
Published: (2022-01-01) -
Research on the Relevancy of Scientific Literature Based on the Citation-Mention Frequency
by: Guang Yu, et al.
Published: (2019-01-01) -
A Novel Evidence-Based Bayesian Similarity Measure for Recommender Systems
by: Guo, Guibing, et al.
Published: (2017) -
Context-Based Collaborative Filtering for Citation Recommendation
by: Haifeng Liu, et al.
Published: (2015-01-01)