A Model for Personalized Keyword Extraction from Web Pages using Segmentation

Details A Model for Personalized Keyword Extraction from Web Pages using Segmentation A Model for Personalized Keyword Extraction from Web Pages using Segmentation

2012-04-02

arxiv.org/abs/1204.0309v1

International Journal of Computer Applications (0975 - 8887), Volume 42 - No.4, March 2012

Computer Science

Information Retrieval

6 Pages, 2 Figures

Scientific paper

10.5120/5682-7720

The World Wide Web caters to the needs of billions of users in heterogeneous groups. Each user accessing the World Wide Web might have his / her own specific interest and would expect the web to respond to the specific requirements. The process of making the web to react in a customized manner is achieved through personalization. This paper proposes a novel model for extracting keywords from a web page with personalization being incorporated into it. The keyword extraction problem is approached with the help of web page segmentation which facilitates in making the problem simpler and solving it effectively. The proposed model is implemented as a prototype and the experiments conducted on it empirically validate the model's efficiency.

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