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An Improved Approach for Mining Frequent Sequential Web Access Patterns from Web Logs

Author(s):

Sheetal Jain , L.J. INSTITUTE OF ENGINEERING AND TECHNOLOGY; Jasmin Jha, L.J.INSTITUTE OF ENGINEERING AND TECHNOLOGY

Keywords:

Frequent Pattern Mining, Recommendations

Abstract

In the growing world of IT, We need to evaluate users' browsing behavior and provide them recommendations to maintain the users' interest. we propose a naive graph based approach which stores the items into the adjacency matrix by creating the directed graph. The frequent sequential web access patterns are then retrieved from the matrix, which is then used to fetch and generate recommendation links.

Other Details

Paper ID: IJSRDV3I31008
Published in: Volume : 3, Issue : 3
Publication Date: 01/06/2015
Page(s): 3551-3553

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