Recommending Research Articles: A Multi-Level Chronological Learning-Based Approach Using Unsupervised Keyphrase Extraction and Lexical Similarity Calculation

Recommending Research Articles: A Multi-Level Chronological Learning-Based Approach Using Unsupervised Keyphrase Extraction and Lexical Similarity Calculation

A research article recommendation approach aims to recommend appropriate research articles to analogous researchers to help them better grasp a new topic in a particular research area. Due to the accessibility of research articles on the web, it is tedious to recommend a relevant article to a resear...

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Bibliographic Details
Main Authors: Talha Bin Sarwar, Noorhuzaimi Mohd Noor, M. Saef Ullah Miah, Mamunur Rashid, Fahmid Al Farid, Mohd Nizam Husen
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Research article recommendation
chronological learning
keyphrase extraction
TeKET
cosine similarity
jaccard similarity
Online Access:https://ieeexplore.ieee.org/document/9628086/

Internet

https://ieeexplore.ieee.org/document/9628086/

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