Test collection based evaluation of information retrieval systems

被引:190
|
作者
Sanderson M. [1 ]
机构
[1] Information School, University of Sheffield, Sheffield
来源
Foundations and Trends in Information Retrieval | 2010年 / 4卷 / 04期
关键词
D O I
10.1561/1500000009
中图分类号
学科分类号
摘要
Use of test collections and evaluation measures to assess the effectiveness of information retrieval systems has its origins in work dating back to the early 1950s. Across the nearly 60 years since that work started, use of test collections is a de facto standard of evaluation. This monograph surveys the research conducted and explains the methods and measures devised for evaluation of retrieval systems, including a detailed look at the use of statistical significance testing in retrieval experimentation. This monograph reviews more recent examinations of the validity of the test collection approach and evaluation measures as well as outlining trends in current research exploiting query logs and live labs. At its core, the modern-day test collection is little different from the structures that the pioneering researchers in the 1950s and 1960s conceived of. This tutorial and review shows that despite its age, this long-standing evaluation method is still a highly valued tool for retrieval research. © 2010 M. Sanderson.
引用
收藏
页码:247 / 375
页数:128
相关论文
共 50 条
  • [11] Information retrieval evaluation using test collections
    Scholer, Falk
    Kelly, Diane
    Carterette, Ben
    INFORMATION RETRIEVAL JOURNAL, 2016, 19 (03): : 225 - 229
  • [12] Information retrieval evaluation using test collections
    Falk Scholer
    Diane Kelly
    Ben Carterette
    Information Retrieval Journal, 2016, 19 : 225 - 229
  • [13] NTCIR Workshops: Data collection-based evaluation of information retrieval and its challenges
    Kando, N
    Adachi, J
    2000 KYOTO INTERNATIONAL CONFERENCE ON DIGITAL LIBRARIES: RESEARCH AND PRACTICE, PROCEEDINGS, 2000, : 67 - 74
  • [14] From bibliography to test collection: Enhancing topical relevance assessment for bibliographic information retrieval system evaluation
    Bean, CA
    Selden, CR
    Rindflesch, TC
    Aronson, AR
    JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 1999, : 1022 - 1022
  • [15] NTCIR workshops: Data collection-based evaluation of information retrieval and its challenges
    National Institute of Informatics , Japan
    Proc. - Kyoto Int. Conf. Digit. Libr.: Res. Pract., KyotoDL, (67-74):
  • [16] On the fusion of documents from multiple collection information retrieval systems
    Machine Intelligence Inst, New Rochelle, United States
    J Am Soc Inf Sci, 13 (1177-1184):
  • [17] On the fusion of documents from multiple collection information retrieval systems
    Yager, RR
    Rybalov, A
    JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, 1998, 49 (13): : 1177 - 1184
  • [18] Consensus-based evaluation framework for distributed information retrieval systems
    Jason J. Jung
    Knowledge and Information Systems, 2009, 18 : 199 - 211
  • [19] Consensus-based evaluation framework for cooperative information retrieval systems
    Jung, Jason J.
    Jo, Geun-Sik
    AGENT AND MULTI-AGENT SYSTEMS: TECHNOLOGIES AND APPLICATIONS, PROCEEDINGS, 2007, 4496 : 169 - +
  • [20] Knowledge based collection selection for distributed information retrieval
    Han Baoli
    Chen Ling
    Tian Xiaoxue
    INFORMATION PROCESSING & MANAGEMENT, 2018, 54 (01) : 116 - 128