A Fast and Comprehensive Literature Search Tool for Information Systems Researchers

Research output: Conference Papers (RGC: 31A, 31B, 32, 33)32_Refereed conference paper (no ISBN/ISSN)

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Detail(s)

Original languageEnglish
Pages70-75
StatePublished - Jun 2017

Workshop

Title11th Chinese Summer Workshop on Information Management (CSWIM 2017)
LocationNanjing University
PlaceChina
CityNanjing
Period23 - 25 June 2017

Abstract

For individual researchers, literature search has always been a tedious and time-consuming work, and it is often difficult to find a complete list of relevant articles using existing literature search engines. To address this problem, we propose a novel citation recommendation method using content and citation graph-based information, which produces a list of relevant references given the input of an abstract. In our method, we introduce a new feature of similar peers’ citation choices, which
captures the wisdom of crowds in the reference lists of academic articles. The proposed method has achieved better performance in the experiments on a standard dataset compared with existing method. To develop the literature search tool, we plan to first construct a dataset of the paper citation network within the three top IS journals (i.e., ISR, JMIS, MISQ). Then, we plan to implement the proposed method on ISTopic.org, an online platform for the exploration of research topics.

Research Area(s)

  • Literature search, Topic model, Citation graph, Wisdom of Crowds

Citation Format(s)

A Fast and Comprehensive Literature Search Tool for Information Systems Researchers. / Xu, Ruiyun; Chen, Hailiang; Zhao, J. Leon.

2017. 70-75 Paper presented at 11th Chinese Summer Workshop on Information Management (CSWIM 2017), Nanjing, China.

Research output: Conference Papers (RGC: 31A, 31B, 32, 33)32_Refereed conference paper (no ISBN/ISSN)