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A Fast and Comprehensive Literature Search Tool for Information Systems Researchers

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Abstract

In this study, we develop a fast and comprehensive literature search tool for IS community. We first propose a novel citation recommendation method, which produces a list of relevant references given the input of a long query. In our method, we introduce a new feature of aggregate likelihood being cited, which captures the wisdom of crowds in the reference lists of academic articles, in addition to the topical similarity. The method has achieved better efficiency and accuracy on a standard dataset compared with existing methods. Next, we construct a citation network within the three top IS journals (i.e., ISR, JMIS, and MISQ). Finally, we plan to implement the proposed method on ISTopic.org, an online platform for the exploration of research topics. To further evaluate the performance of the literature search tool, we plan to conduct a user study to compare the usability of our tool with existing literature search tools.
Original languageEnglish
Title of host publicationICIS 2017: Transforming Society with Digital Innovation
PublisherAssociation for Information Systems
ISBN (Print)9780996683159
Publication statusPublished - 2017
Externally publishedYes
Event38th International Conference on Information Systems (ICIS 2017): Transforming Society with Digital Innovation - COEX, Convention and Exhibition Center, Seoul, Korea, Republic of
Duration: 10 Dec 2017 → 13 Dec 2017
http://icis2017.aisnet.org/
http://icis2017.aisnet.org/wp-content/uploads/2017/12/ICIS2017_ProgramBook_1209.pdf

Publication series

NameICIS 2017: Transforming Society with Digital Innovation

Conference

Conference38th International Conference on Information Systems (ICIS 2017)
PlaceKorea, Republic of
CitySeoul
Period10/12/17 → 13/12/17
Internet address

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Funding

The work described in this paper was partially supported by a grant from the National Natural Science Foundation of China (Grant No: 71471157) and research grant from Digital Innovation Laboratory, Department of Information Systems, City University of Hong Kong.

Research Keywords

  • Citation graph
  • Literature search
  • Topic model
  • Wisdom of crowds

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