A new method based on distributed learning automata for page ranking in web

International Journal of Physical Sciences

Tayebeh Yarahmadi¹ 

关键词: Ranking algorithms;    PageRank;    structures of web documents;    distributed learning automata.;   

DOI  :  10.5897/IJPS11.1708

学科分类：物理（综合）

来源: Academic Journals

【 摘 要 】

With thegrowinginformation in the web,ranking algorithmsisvery importantinsearching information.Currently,there aretwo categories ofthe ranking algorithmbasedoncontentandconnectivity.Ranking algorithms which are based on content have low accuracy and recall and also contain the rank spamming problem. Ranking algorithms which are based on connectivity contain the rich get richer problem too. Therefore, in this paper, ranking algorithm based on distributed learning automata was presented, which use pages content’s information, hyperlinks between pages and web usage data to present better results. In this paper, at first, two algorithms for determining the structure of web documents based on DLA was proposed, and then was used for ranking. The obtained results of the simulation proposed algorithm was evaluated with RankCorrelation and P@n measures.

【 授权许可】

CC BY