Web Page Recommendation Approach Using Weighted Sequential Patterns And Markov Model

Dr. K. Suneetha; Dr.M.Usha Rani

Web Page Recommendation Approach Using Weighted Sequential Patterns And Markov Model

Dr. K. Suneetha * §

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Dr.M.Usha Rani

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§ Sree Vidyanekethan Engineering College/JNTU

Web Page Recommendation Approach Using Weighted Sequential Patterns And Markov Model

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Abstract

Web page recommendation aims to predict the user’s navigation through the help of web usage mining techniques. Currently, researchers focus their attention to develop a web page recommendation algorithm using the well known pattern mining techniques. Here, we have presented a web page recommendation algorithm using weighted sequential patterns and markov model. To mine the weighted sequential pattern, we have modified the prefixspan algorithm incorporating the weightage constraints such as, spending time and recent visiting. Then, the weighted sequential patterns are utilized to construct the recommendation model using the Patricia trie-based tree structure. Finally, the recommendation of the current users is done with the help of markov model that is the probability theory enabling the reasoning and computation as intractable. For experimentation, the synthetic dataset is utilized to analyze the performance of W-Prefixspan algorithm as well as web page recommendation algorithm. From the results, the memory required for the W-prefixSpan algorithm is less than 50% of memory needed for PrefixSpan algorithm.

References

15 Cites in Article

Reference Format

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Dr. K. Suneetha, Dr.M.Usha Rani. 1970. "Web Page Recommendation Approach Using Weighted Sequential Patterns And Markov Model". Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 12 (GJCST Volume 12 Issue E9).

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GJCST Volume 12 Issue E9

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Markov Model Patricia-trie Prefixspan Web page recommendation Weighted sequential pattern

Classification

GJCST-E Classification I.5.m

Submission ReceivedDecember 13, 2011
Peer Review Double Blind
Handling Editor
Accepted January 3, 2012
Published January 15, 2012

Version of record

v1.2

Language

English

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Article Matrices

Total Score: 152

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: Dr. K. Suneetha, Dr.M.Usha Rani (PhD/Dr. count: 2)

View Count (all-time): 264

Total Views (Real + Logic): 10069

Total Downloads (simulated): 444

Publish Date: 2012 01, Sun

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Total Views: 10.1K

Total Downloads: 444

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