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文章基本信息

  • 标题:Effective Information Retrieval Algorithm for Electronic Market Goods Selection
  • 本地全文:下载
  • 作者:Mohammad Ali Tabarzad ; Caro Lucas
  • 期刊名称:International Journal of Computer Science and Network Security
  • 印刷版ISSN:1738-7906
  • 出版年度:2006
  • 卷号:6
  • 期号:9A
  • 页码:185-188
  • 出版社:International Journal of Computer Science and Network Security
  • 摘要:One of the issues that researchers are interested in electronic markets is how to describe and delivery of goods. To complete these issues there are so many offers each with specific benefits and defects. One of these methods is that besides the properties of goods usually available in goods' description, there is another group of properties as descriptive properties and other properties which have not been resided in any other property categories will be set in this category beside each other, and will be searched like a text using available information retrieval algorithms. In this paper an appropriate method for searching these properties will be offered based on ngram algorithms and search results will be compare users scoring results
  • 关键词:electronic market, multi attribute goods, ngram, information retrieval.
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