A weighted ranking algorithm for facet-based component retrieval system

  • Authors:
  • Yong Yang;Weishi Zhang;Xiuguo Zhang;Jinyu Shi

  • Affiliations:
  • Department of Computer Science and Technology, Dalian Maritime University, Dalian;Department of Computer Science and Technology, Dalian Maritime University, Dalian;Department of Computer Science and Technology, Dalian Maritime University, Dalian;Department of Computer Science and Technology, Dalian Maritime University, Dalian

  • Venue:
  • ACST'06 Proceedings of the 2nd IASTED international conference on Advances in computer science and technology
  • Year:
  • 2006

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Abstract

Facet-based component retrieval techniques have been proved to be an effective way for retrieving. These Techniques are widely adopted by component library systems, but they usually simply list out all the retrieval results without any kind of ranking. In our work, we focus on the problem that how to determine the ranks of the components retrieved by user. Factors which can influence the ranking are extracted and identified through the analysis of ER-Diagram of facet-based component library system. In this paper, a mathematical model of weighted ranking algorithm is proposed and the timing of ranks calculation is discussed. Experiment results show that this algorithm greatly improves the efficiency of component retrieval system.