A mathematical investigation on retrieval performance evaluation measures of information retrieval algorithm

被引：0
|
作者：
Song, JF [1 ]
Zhang, WM [1 ]
Xiao, WD [1 ]
机构：
[1] Natl Univ Def Technol, Sch Informat Syst & Management, Changsha 410073, Peoples R China
来源：
ITCC 2005: International Conference on Information Technology: Coding and Computing, Vol 1 | 2005年
关键词：
D O I：
10.1109/ITCC.2005.14
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Retrieval performance evaluation measures of information retrieval algorithm are the foundation of evaluating and improving information retrieval algorithm. In this paper precision and recall are analyzed mathematically, and a theorem is proved: a good IR algorithm will make precision and recall to be maximal at the same time in an ideal vector space, then a new general evaluation measure based on this theorem is proposed to evaluate information retrieval algorithm.
引用
收藏
页码：806 / 810
页数：5
相关论文
共 50 条
  • [1] Replicability Measures for Longitudinal Information Retrieval Evaluation
    Keller, Jueri
    Breuer, Timo
    Schaer, Philipp
    EXPERIMENTAL IR MEETS MULTILINGUALITY, MULTIMODALITY, AND INTERACTION, PT I, CLEF 2024, 2024, 14958 : 215 - 226
  • [2] An Intrinsic Framework of Information Retrieval Evaluation Measures
    Giner, Fernando
    INTELLIGENT SYSTEMS AND APPLICATIONS, VOL 1, INTELLISYS 2023, 2024, 822 : 692 - 713
  • [3] EVALUATION MEASURES FOR INTERACTIVE INFORMATION-RETRIEVAL
    SU, LT
    INFORMATION PROCESSING & MANAGEMENT, 1992, 28 (04) : 503 - 516
  • [4] Generalized phase retrieval algorithm based on information measures
    Shioya, Hiroyuki
    Gohara, Kazutoshi
    OPTICS COMMUNICATIONS, 2006, 266 (01) : 88 - 93
  • [5] RETRIEVAL-An Online Performance Evaluation Tool for Information Retrieval Methods
    Ioannakis, George
    Koutsoudis, Anestis
    Pratikakis, Ioannis
    Chamzas, Christodoulos
    IEEE TRANSACTIONS ON MULTIMEDIA, 2018, 20 (01) : 119 - 127
  • [6] TOWARDS NEW MEASURES OF INFORMATION-RETRIEVAL EVALUATION
    HERSH, WR
    ELLIOT, DL
    HICKAM, DH
    WOLF, SL
    MOLNAR, A
    LEICHTENSTIEN, C
    JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 1994, : 895 - 899
  • [7] A comparative study of performance measures for information retrieval systems
    Meng, Xiannong
    Third International Conference on Information Technology: New Generations, Proceedings, 2006, : 578 - 579
  • [8] Mathematical Information Retrieval: A Review
    Dadure, Pankaj
    Pakray, Partha
    Yay, Sivaji bandyopadh
    ACM COMPUTING SURVEYS, 2025, 57 (03)
  • [9] Geosemantic information retrieval and its performance evaluation
    Gu, Mi Sug
    Hwang, Jaehong
    JOURNAL OF INFORMATION SCIENCE, 2015, 41 (05) : 705 - 719
  • [10] Enabling Performance Prediction in Information Retrieval Evaluation
    Faggioli, Guglielmo
    SIGIR '21 - PROCEEDINGS OF THE 44TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL, 2021, : 2701 - 2701
12345