首页    期刊浏览 2024年09月07日 星期六
登录注册

文章基本信息

  • 标题:A Review on Query Clustering Algorithms For Search Engine Optimization
  • 本地全文:下载
  • 作者:Bhupesh Gupta ; Sandip Kumar Goyal ; Ashish Oberoi
  • 期刊名称:International Journal of Advanced Research In Computer Science and Software Engineering
  • 印刷版ISSN:2277-6451
  • 电子版ISSN:2277-128X
  • 出版年度:2012
  • 卷号:2
  • 期号:2
  • 出版社:S.S. Mishra
  • 摘要:Classification of patterns into groups in unsupervised way represents clustering. Clustering can be done in many ways and by researchers in many disciplines, like clustering can be done on the basis of queries submitted to search engine. This paper provides an overview of algorithms which are helpful in search engine optimization. The algorithms discuss are BB's Graph Based Cluste ring Algorithm, Concept Based Clustering Algorithm and Personalized Concept based clustering algorithm. All the algorithm works on the basis of precision and recall values, which are helpful in determine the efficiency of search engine queries.
  • 关键词:Concept based clustering; Query Clustering; Search Engine; Personalization; Query Optimization
国家哲学社会科学文献中心版权所有