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dc.contributor.authorLim, Zi Hengen_US
dc.identifier.citationLim, Z. H. (2021). Context-based recommendation. Final Year Project (FYP), Nanyang Technological University, Singapore.
dc.description.abstractWith the rapid growth of the scientific literature, citation recommendation systems able to speed up literature review and citing process during a research process. Recent approaches use bag-of-word retrieval to represent the documents, which discards word order information which is important in representation for documents. This project presents a method of recommend candidate references using document representations based on context of each document by learning document representations that incorporate inter-document document relatedness using citation graph and the state-of-the-art Transformer language model. Documents can be embedded into a high-dimensional vector space. Given a query document, it can be encoded into a vector which its nearest neighbours could be retrieved as candidates for citation. A recommendation web application is implemented to facilitate the citation recommendation.en_US
dc.publisherNanyang Technological Universityen_US
dc.subjectEngineering::Electrical and electronic engineeringen_US
dc.subjectEngineering::Computer science and engineering::Information systems::Information storage and retrievalen_US
dc.titleContext-based recommendationen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorLihui CHENen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeBachelor of Engineering (Electrical and Electronic Engineering)en_US
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Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)
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