Solving Hanging Relevancy using Genetic Algorithm
MetadataShow full item record
Continuous growth of hanging pages with Web makes a significant problem for ranking in the information retrieval. Exclusion of these pages in ranking calculation can give biased/inconsistent result. On the other hand inclusion of these pages will reduce the speed significantly. However most of the IR ranking algorithms exclude the hanging pages. But there are relevant and important hanging pages on the Web and they cannot be ignored because of the complexity in computation and time. In our proposed method, we include the relevant hanging pages in the ranking. Relevancy or non-relevancy of hanging pages is achieved by application of Genetic Algorithm (GA).
Showing items related by title, author, creator and subject.
Patchmuthu, Ravikumar (2014)Hanging pages are one of the hidden problems in link structure ranking algorithms and they can be compromised by spammers to induce Link Spam. In this thesis, efficient algorithms have been developed to produce fair and ...
Paediatric hanging associated out of hospital cardiac arrest in Melbourne, Australia: Characteristics and outcomesDeasy, C.; Bray, Janet; Smith, K.; Harriss, L.; Bernard, S.; Cameron, P. (2011)Introduction: Hanging is a rare but devastating cause of out of hospital cardiac arrest (OHCA). The characteristics and outcomes of hanging associated OHCA in the paediatric age group are described. Methods: The Victorian ...
Dong, Hai (2010)With the emergence of the Web and its pervasive intrusion on individuals, organizations, businesses etc., people now realize that they are living in a digital environment analogous to the ecological ecosystem. Consequently, ...