Abstract
As the need for personalized services sharply increases caused by the booming of Internet, Web-based data-mining is becoming a valuable sources of thoughts and theory to satisfy the personalized system function. The characters of personalized data-mining is reviewed and discussed in the beginning, and then an innovative algorithm (FP-Tree time – validity algorithm ) of Web pageviews, based on personalization, is raised. More authentic information can be efficiently got by adding time-validity coefficient to FTT-Tree storage structure to implement increment mining.
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Yunfei, S., Zheng, Q., Kun, Y., Xiaowei, L. (2006). FTT Algorithm of Web Pageviews for Personalized Recommendation. In: Mizoguchi, R., Shi, Z., Giunchiglia, F. (eds) The Semantic Web – ASWC 2006. ASWC 2006. Lecture Notes in Computer Science, vol 4185. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11836025_14
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DOI: https://doi.org/10.1007/11836025_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-38329-1
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