COVID-19 related Research-paper Recommendation System using Graph-database (Neo4j)

Sabbir Alam; Tawhid Ahmed Chetan

COVID-19 related Research-paper Recommendation System using Graph-database (Neo4j)

dc.contributor.advisor	Dr. Mohammad Ashrafuzzaman Khan
dc.contributor.author	Sabbir Alam
dc.contributor.author	Tawhid Ahmed Chetan
dc.contributor.id	1711653642
dc.contributor.id	1711654642
dc.coverage.department	Electrical and Computer Engineering
dc.date.accessioned	2025-08-10
dc.date.accessioned	2025-08-10T07:53:34Z
dc.date.available	2025-08-10T07:53:34Z
dc.date.issued	2021-08-30
dc.description.abstract	COVID-19 is the infectious disease caused by the most recently discovered corona virus. This new virus and disease were unknown before the outbreak began in Wuhan, China, in December 2019. Covid-19 pandemic is resulting high fatality rates globally, so knowing about it became vital. Until vaccines are available following prevention methods and taking necessary steps is the only way. It affects people in many ways and the symptoms also are not clear. Sometimes fever, body ache, dry cough, tiredness are the symptoms seen. It mainly causes problems in our lungs. In this project, we will develop a graph database from a large scientific literature to find the different aspect of covid-19 like transmission, risk factors, drug types and genome research related to corona virus. We will add recommendation system to the database by which one get research paper recommendation which will be helpful for the further researcher as they will get recommendation according to their interest.
dc.description.degree	Undergraduate
dc.identifier.cd	600000249
dc.identifier.uri	https://repository.northsouth.edu/handle/123456789/1355
dc.language.iso	en_US
dc.publisher	North South University
dc.rights	© NSU Library
dc.title	COVID-19 related Research-paper Recommendation System using Graph-database (Neo4j)
dc.type	Project
oaire.citation.endPage	28
oaire.citation.startPage	1