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