VIRLab: A web-based virtual lab for learning and studying information retrieval models

Hui Fang, Hao Wu, Peilin Yang, Cheng Xiang Zhai

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

Abstract

In this paper, we describe VIRLab, a novel web-based virtual laboratory for Information Retrieval (IR). Unlike existing command line based IR toolkits, the VIRLab system provides a more interactive tool that enables easy implementation of retrieval functions with only a few lines of codes, simplified evaluation process over multiple data sets and parameter settings and straightforward result analysis interface through operational search engines and pair-wise comparisons. These features make VIRLab a unique and novel tool that can help teaching IR models, improving the productivity for doing IR model research, as well as promoting controlled experimental study of IR models.

Original languageEnglish (US)
Title of host publicationSIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval
PublisherAssociation for Computing Machinery
Pages1249-1250
Number of pages2
ISBN (Print)9781450322591
DOIs
StatePublished - 2014
Event37th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2014 - Gold Coast, QLD, Australia
Duration: Jul 6 2014Jul 11 2014

Publication series

NameSIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval

Other

Other37th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2014
CountryAustralia
CityGold Coast, QLD
Period7/6/147/11/14

Keywords

  • IR models
  • Teaching
  • Virtual lab

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Information Systems

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