A Keyword Extraction Based Model for Web Advertisement

  • Ning Zhou
  • Jiaxin Wu
  • Shaolong Zhang
Part of the IFIP International Federation for Information Processing book series (IFIPAICT, volume 252)


In this paper, a keyword extraction based model is proposed to deal with web advertisement. In our model, we take web advertisement as an information retrieval problem. Web page and advertisement are firstly represented with a simple data structure which will be the source file for keyword extraction based on x2-measure for single document. Later we get two vectors to make a retrieval process with a specific similarity function. This model is suitable for common cases of web advertisement. It supports the web page selection in view of advertisement as well as the advertisement selection for specific web page.


Vector Space Model Word Segmentation Text Field Banner Advertisement Keyword Extraction 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© IFIP International Federation for Information Processing 2007

Authors and Affiliations

  • Ning Zhou
    • 1
  • Jiaxin Wu
    • 1
    • 2
  • Shaolong Zhang
    • 2
  1. 1.Research Center of Information ResourcesWuhan UniversityWuhanChina
  2. 2.School of Information ManagementWuhan UniversityWuhanChina

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