Towards adaptive Web sites: conceptual framework and case study
Artificial Intelligence - Special issue on Intelligent internet systems
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Research Issues in Web Data Mining
DaWaK '99 Proceedings of the First International Conference on Data Warehousing and Knowledge Discovery
Web page clustering using a self-organizing map of user navigation patterns
Decision Support Systems - Special issue: Web data mining
Creating Adaptive Web Sites Through Usage-Based Clustering of URLs
KDEX '99 Proceedings of the 1999 Workshop on Knowledge and Data Engineering Exchange
Web usage mining: discovery and applications of usage patterns from Web data
ACM SIGKDD Explorations Newsletter
Web Mining: Information and Pattern Discovery on the World Wide Web
ICTAI '97 Proceedings of the 9th International Conference on Tools with Artificial Intelligence
Ant colony optimization theory: a survey
Theoretical Computer Science
An ant-based algorithm for finding degree-constrained minimum spanning tree
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Adaptive web sites: an AI challenge
IJCAI'97 Proceedings of the 15th international joint conference on Artifical intelligence - Volume 1
Ant colony system: a cooperative learning approach to the traveling salesman problem
IEEE Transactions on Evolutionary Computation
Ant system: optimization by a colony of cooperating agents
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Clustering-Based Learning Approach for Ant Colony Optimization Model to Simulate Web User Behavior
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
Predicting web user behavior using learning-based ant colony optimization
Engineering Applications of Artificial Intelligence
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The growth of the Internet has led to many studies on adaptive websites based on web usage mining. Most studies focus on providing assistance to users rather than optimizing the website structure itself. A recent work pioneered the use of 0-1 programming models to optimally reorganize websites based on the cohesion among web pages obtained by web usage mining. The proposed models reduce the information overload and search depth for users surfing the web. A heuristic approach has also been proposed to reduce the required computation time. However, the heuristic approach involving two successive 0-1 programming models still requires a very long computation time to find the optimal solution, especially when the website contains many hyperlinks. To resolve the efficiency problem, this study proposes an ant colony system to reorganize website structures. The proposed algorithm is tested extensively with numerical examples. Additionally, an empirical study with a real-world website is conducted to verify the algorithm applicability.