FTT algorithm of web pageviews for personalized recommendation

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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. © Springer-Verlag Berlin Heidelberg 2006.

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APA

Shen, Y., Qin, Z., Yuan, K., & Luo, X. (2006). FTT algorithm of web pageviews for personalized recommendation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4185 LNCS, pp. 133–139). Springer Verlag. https://doi.org/10.1007/11836025_14

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