FTT algorithm of web pageviews for personalized recommendation

Authors:
Shen Yunfei;Qin Zheng;Yuan Kun;Luo Xiaowei
Affiliations:
Software School of Tsinghua University, Beijing, China;Software School of Tsinghua University, Beijing, China;Research center of University of Science and Technology of China, Anhui, Hefei, China;Department of Construction Management, Tsinghua University, Beijing, China
Venue:
ASWC'06 Proceedings of the First Asian conference on The Semantic Web
Year:
2006

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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.