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Title: Context-based recommendation
Authors: Lim, Zi Heng
Keywords: Engineering::Electrical and electronic engineering
Engineering::Computer science and engineering::Information systems::Information storage and retrieval
Issue Date: 2021
Publisher: Nanyang Technological University
Source: Lim, Z. H. (2021). Context-based recommendation. Final Year Project (FYP), Nanyang Technological University, Singapore.
Project: A3043-201
Abstract: With 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.
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

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