A Keyword Extraction Based Model for Web Advertisement

نویسندگان

  • Ning Zhou
  • Jiaxin Wu
  • Shaolong Zhang
چکیده

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 -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.

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تاریخ انتشار 2007