@inproceedings{9fcfbe2a4be64e7db7449475205e45e4,
title = "VIRLab: A web-based virtual lab for learning and studying information retrieval models",
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.",
keywords = "IR models, Teaching, Virtual lab",
author = "Hui Fang and Hao Wu and Peilin Yang and Zhai, {Cheng Xiang}",
note = "Copyright: Copyright 2014 Elsevier B.V., All rights reserved.; 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2014 ; Conference date: 06-07-2014 Through 11-07-2014",
year = "2014",
doi = "10.1145/2600428.2611178",
language = "English (US)",
isbn = "9781450322591",
series = "SIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval",
publisher = "Association for Computing Machinery",
pages = "1249--1250",
booktitle = "SIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval",
address = "United States",
}