A novel approach for personalized article recommendation in online scientific communities

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)Not applicablepeer-review

8 Scopus Citations
View graph of relations

Author(s)

  • Jianshan Sun
  • Xiaoyan Liu
  • Zhiying Liu
  • Gang Wang
  • Hongbing Jiang
  • Thushari Silva

Related Research Unit(s)

Detail(s)

Original languageEnglish
Title of host publicationProceedings of the Annual Hawaii International Conference on System Sciences
Pages1543-1552
Publication statusPublished - Jan 2013

Publication series

Name
ISSN (Print)1530-1605

Conference

Title46th Annual Hawaii International Conference on System Sciences, HICSS 2013
PlaceUnited States
CityWailea, Maui, HI
Period7 - 10 January 2013

Abstract

Rapid proliferation of information technologies has generated sheer volume of information which makes scientific research related information searching more challenging. Personalized recommendation is the widely adopted technique to recommend relevant documents to researchers. Current methods are suffering from mismatch problem and match irrelevance problem and fail to generate highly related results. To overcome these problems, we propose a novel approach to recommend articles to the researchers. In our approach we integrate three types of similarity measures: keyword similarity, journal similarity, and author similarity to measure the relevance of the articles to researchers. The keyword similarity is used to generate candidate list of articles, and the journal similarity and author similarity are used to select most suitable articles from the candidate list. The integrated similarity measure is used to rank the articles based on their relevance. The proposed method is implemented in ScholarMate (www.scholarmate.com), the online research social network platform. The evaluation results exhibit that proposed method is more effective than existing ones. © 2012 IEEE.

Citation Format(s)

A novel approach for personalized article recommendation in online scientific communities. / Sun, Jianshan; Ma, Jian; Liu, Xiaoyan; Liu, Zhiying; Wang, Gang; Jiang, Hongbing; Silva, Thushari.

Proceedings of the Annual Hawaii International Conference on System Sciences. 2013. p. 1543-1552 6480025.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)Not applicablepeer-review