DocumentCode :
530260
Title :
Design and implementation of discovering preferred browsing paths from Web logs algorithm
Author :
Jiang, Zi-Lei ; Song, Shun-Lin
Author_Institution :
Sch. of Comput. Sci. & Telecommun. Eng., Jiangsu Univ., Zhenjiang, China
Volume :
2
fYear :
2010
fDate :
17-19 Sept. 2010
Abstract :
This paper puts forward the algorithm of discovering preferred browsing paths from Web logs. The algorithm imports Support-preference and User access matrix which is used to reflect the frequency of visiting Web pages. After obtaining Hamming distance matrix, its element values are compared with Similarity threshold one by one, so Candidate interest sub-path 2-items set is gotten. According to Support-preference threshold, inappropriate sub-paths which belong to Sub-path set are eliminated. Finally preferred browsing paths are generated by merging sub-paths. Applying the algorithm in the experiment, its validity is proved.
Keywords :
Web sites; data mining; information retrieval; matrix algebra; Web log algorithm; Web page; candidate interest; hamming distance matrix; preferred browsing path discovery; similarity threshold; support preference; user access matrix; Artificial intelligence; Hamming distance; Similarity threshold; Support-preference; User access matrix; Web log mining; preferred browsing paths;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Educational and Information Technology (ICEIT), 2010 International Conference on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-8033-3
Electronic_ISBN :
978-1-4244-8035-7
Type :
conf
DOI :
10.1109/ICEIT.2010.5607605
Filename :
5607605
Link To Document :
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