Supporting ranked search in parallel search cluster networks

  • Authors:
  • Fang Xiong;Qiong Luo;Dyce Jing Zhao

  • Affiliations:
  • Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong;Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong;Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong

  • Venue:
  • Proceedings of the 14th ACM international conference on Information and knowledge management
  • Year:
  • 2005

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Abstract

We investigate how to support ranked keyword search in a Parallel Search Cluster Network, which is a newly proposed peer-to-peer network overlay. In particular, we study how to efficiently acquire and distribute the global information required by ranked keyword search by taking advantage of the architectural features of PSCNs.