On learning researchers' dynamic information needs: An entropy-based query expansion approach

I. Chin Wu, Chun Yu Lin, Guan Wei Chen, Yu Kai Lin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Literature survey is one of the most important steps in the process of academic research, allowing researchers to explore and understand topics. However, researchers without sufficient prior knowledge lack the skills to determine proper and accurate keywords for investigating the topics at hand. To tackle this problem, we proposed an entropy-based query expansion with a reweigh ting (E-QE) approach to revise queries during the iterative retrieval process. We designed a series of experiments that consider the researcher's changing information needs during task execution. Two topic change situations are considered in this work - both minor, and dramatic topic changes. The simulation-based pseudo-relevance feedback technique is applied during the search process to evaluate the effectiveness of the proposed approach without the intervention of human efforts. We measured the effectiveness of the TFIDF and E-QE approaches for different types of topic change situations. The preliminary results show that the proposed query expansion approach can achieve better results, helping researchers to revise queries.

Original languageEnglish
Title of host publicationProceedings of the 2012 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Workshops, WI-IAT 2012
Pages200-204
Number of pages5
DOIs
Publication statusPublished - 2012 Dec 1
Event2012 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Workshops, WI-IAT 2012 - Macau, China
Duration: 2012 Dec 42012 Dec 7

Publication series

NameProceedings of the 2012 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Workshops, WI-IAT 2012

Conference

Conference2012 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Workshops, WI-IAT 2012
CountryChina
CityMacau
Period12/12/412/12/7

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Keywords

  • entropy
  • pseudo-relevance feedback
  • query expansion
  • topic change

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software

Cite this

Wu, I. C., Lin, C. Y., Chen, G. W., & Lin, Y. K. (2012). On learning researchers' dynamic information needs: An entropy-based query expansion approach. In Proceedings of the 2012 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Workshops, WI-IAT 2012 (pp. 200-204). [6511677] (Proceedings of the 2012 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Workshops, WI-IAT 2012). https://doi.org/10.1109/WI-IAT.2012.35