Learning automata with changing number of actions
IEEE Transactions on Systems, Man and Cybernetics
Learning automata: an introduction
Learning automata: an introduction
Randomized algorithms
Note on maxmin &mgr;/E estimation
Fuzzy Sets and Systems
The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Proceedings of the 11th international conference on World Wide Web
Learning Algorithms Theory and Applications
Learning Algorithms Theory and Applications
Mining the Web's Link Structure
Computer
Usage-Based PageRank for Web Personalization
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Web mining of preferred traversal patterns in fuzzy environments
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part II
Expected value of fuzzy variable and fuzzy expected value models
IEEE Transactions on Fuzzy Systems
Hi-index | 0.00 |
The main goal of web pages ranking is to find the interrelated pages. In this paper, we introduce an algorithm called FPR-DLA. In the proposed method learning automata is assigned to each web page which its function is determining the weight of hyperlinks between web pages. Also for determining the weight of each web page parameters such as time duration on a web page and the importance of web pages are considered. Time duration on a web page and the importance of web pages are characterized as a fuzzy linguistic variable. The proposed algorithm calculates the rank of each web page as recursive according to the weights of each web page and hyperlinks between web pages. Experimental results show that the proposed method has a considerable efficiency in determining the rank of web pages.