Abstract
In this paper we propose an intelligent web search method with customized results. This approach adopts a cosine method to calculate the similarity between document profile and customer profile. The document profile is derived from the similarity score of documents. The customers’ search history is captured to generate customer profile. Then the customized search results are recommended to the end users based upon the similarity between document profile and customer profile.
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Lai, J., Soh, B. (2005). Turning Mass Media to Your Media: Intelligent Search with Customized Results. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3682. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11552451_122
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DOI: https://doi.org/10.1007/11552451_122
Publisher Name: Springer, Berlin, Heidelberg
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