Research Article Open Access

CONSTRAINT INFORMATIVE RULES FOR GENETIC ALGORITHM-BASED WEB PAGE RECOMMENDATION SYSTEM

S. Prince Mary1 and E. Baburaj2
  • 1 Sathyabama University, India
  • 2 , India

Abstract

To predict the users navigation using web usage mining is the primary motto of the web page recommendation. Currently, researchers are trying to develop a web page recommendation using pattern mining technique. Here, we propose a technique for web page recommendation using genetic algorithm. It consists of three phases as data preparation, mining of informative rules and recommendation. The data preparation contains data preprocessing and user identification. The genetic algorithm is used to mine the informative rule. The genetic algorithm involves three processes which are calculating the fitness values, crossover and mutation. We use three different constraints as time duration, quality and recent visit to allow the process for next stage after the initial fitness calculation. We have to repeat these processes to find the best solution. To form the recommendation tree, we use the best solution which we obtain by means of genetic algorithm.

Journal of Computer Science
Volume 9 No. 11, 2013, 1589-1601

DOI: https://doi.org/10.3844/jcssp.2013.1589.1601

Submitted On: 20 June 2013 Published On: 5 October 2013

How to Cite: Mary, S. P. & Baburaj, E. (2013). CONSTRAINT INFORMATIVE RULES FOR GENETIC ALGORITHM-BASED WEB PAGE RECOMMENDATION SYSTEM. Journal of Computer Science, 9(11), 1589-1601. https://doi.org/10.3844/jcssp.2013.1589.1601

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Keywords

  • Genetic Algorithm
  • Recommendation Tree
  • Constraint Rules
  • Web Page Recommendation