The effectiveness of query-specific hierarchic clustering in information retrieval

被引:86
|
作者
Tombros, A [1 ]
Villa-Caro, R [1 ]
Van Rijsbergen, CJ [1 ]
机构
[1] Univ Glasgow, Dept Comp Sci, Glasgow G12 8RZ, Lanark, Scotland
基金
英国工程与自然科学研究理事会;
关键词
information retrieval; query-specific hierarchic clustering; effectiveness evaluation;
D O I
10.1016/S0306-4573(01)00048-6
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Hierarchic document clustering has been widely applied to information retrieval (IR) on the grounds of its potential improved effectiveness over inverted file search (IFS). However, previous research has been inconclusive as to whether clustering does bring improvements. In this paper we take the view that if hierarchic clustering is applied to search results (query-specific clustering), then it has the potential to increase the retrieval effectiveness compared both to that or static clustering and of conventional IFS. We conducted a number of experiments using five document collections and four hierarchic clustering methods. Our results show that the effectiveness of query-specific clustering is indeed higher, and suggest that there is scope for its application to IR. (C) 2002 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:559 / 582
页数:24
相关论文
共 50 条
  • [31] Query-specific signature selection for efficient k-nearest neighbour approximation
    Park, Youngki
    Hwang, Heasoo
    Lee, Sang-goo
    [J]. JOURNAL OF INFORMATION SCIENCE, 2017, 43 (04) : 440 - 457
  • [32] Toward a Deep Multimodal Interactive Query Expansion for Healthcare Information Retrieval Effectiveness
    Benzarti, Sabrine
    Tebourski, Wafa
    Karaa, Wahiba Ben Abdessalem
    [J]. ADVANCED INFORMATION NETWORKING AND APPLICATIONS, VOL 2, AINA 2024, 2024, 200 : 369 - 379
  • [33] BERT-ER: Query-specific BERT Entity Representations for Entity Ranking
    Chatterjee, Shubham
    Dietz, Laura
    [J]. PROCEEDINGS OF THE 45TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '22), 2022, : 1466 - 1477
  • [34] Query-Specific Visual Semantic Spaces for Web Image Re-ranking
    Wang, Xiaogang
    Liu, Ke
    Tang, Xiaoou
    [J]. 2011 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2011, : 857 - 864
  • [35] A General Account of Effectiveness Metrics for Information Tasks: Retrieval, Filtering, and Clustering
    Amigo, Enrique
    Gonzalo, Julio
    Mizzaro, Stefano
    [J]. SIGIR'14: PROCEEDINGS OF THE 37TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL, 2014, : 1289 - 1289
  • [36] Query reformulation approach using domain specific ontology for semantic information retrieval
    Kaur N.
    Aggarwal H.
    [J]. International Journal of Information Technology, 2021, 13 (5) : 1745 - 1753
  • [37] The Opposite of Smoothing: A Language Model Approach to Ranking Query-Specific Document Clusters
    Kurland, Oren
    Krikon, Eyal
    [J]. JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH, 2011, 41 : 367 - 395
  • [38] Web Image Re-Ranking Using Query-Specific Semantic Signatures
    Wang, Xiaogang
    Qiu, Shi
    Liu, Ke
    Tang, Xiaoou
    [J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2014, 36 (04) : 810 - 823
  • [39] Adapting information retrieval to query contexts
    Bai, Jing
    Nie, Jian-Yun
    [J]. INFORMATION PROCESSING & MANAGEMENT, 2008, 44 (06) : 1901 - 1922
  • [40] Information retrieval and rendering with MML query
    Bancerek, Grzegorz
    [J]. MATHEMATICAL KNOWLEDGE MANAGEMENT, PROCEEDINGS, 2006, 4108 : 266 - 279