Journal of Beijing University of Posts and Telecommunications

  • EI核心期刊

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2008, Vol. 31 ›› Issue (5): 78-81.doi: 10.13190/jbupt.200805.78.323

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Research on Results Merging in Meta Search Engine
 

LI Hong-mei1，2, DING Zhen-guo1, ZHOU Shui-Sheng3, ZHOU Li-hua1
  

  1. 1. School of Computer Science and Technology, Xidian University, Xi’an 710071, China;
    2. College of Information Science and Technology, Agricultural University of Hebei, Baoding 071001,China;
    3. School of Science , Xidian University , Xi’an 710071, China
  • Received:2007-12-19 Revised:1900-01-01 Online:2008-10-30 Published:2008-10-30
  • Contact: LI Hong-mei

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Abstract:

A result merging method based on text / rank analysis and Group Decision Making activity is proposed. Utilizing text-based information obtained from search results, a definition of query-match grade is presented, and an approach on text normalization for meta search is described. The relevant scores of relevant documents are normalized by incorporating text analysis measure with existing rank-based method. When estimating scores of non-relevant documents, different assumptions are discussed, and an improved shadow document method is proposed as well. So a merging method based on Group Decision Making activity is adopted to sort the search results. Four different search engines are tested in the practical web environment. The experimental results show that this method is more effective than other three merging methods: Round-robin, CombSum and CombMNZ.

Key words: meta search, information retrieval, search results merging, text analysis

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