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dc.contributor.authorSingh, Ashutosh Kumar
dc.contributor.authorRavi, Kumar
dc.contributor.authorGoh, Kwang Leng Alex
dc.contributor.editorJohn Wu (Contact)
dc.date.accessioned2017-01-30T12:51:46Z
dc.date.available2017-01-30T12:51:46Z
dc.date.created2015-03-03T20:16:11Z
dc.date.issued2012
dc.identifier.citationSingh, A.K. and Ravi, K. and Goh, K.L.A. 2012. Solving hanging relevancy using genetic algorithm, in 2nd IEEE International Conference on Uncertainty Reasoning and Knowledge Engineering (URKE), Aug 14-15 2012, pp. 9-12. Jakarta, Indonesia: Institute of Electrical and Electronics Engineers.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/26122
dc.identifier.doi10.1109/URKE.2012.6319593
dc.description.abstract

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).

dc.publisherInstitute of Electrical and Electronics Engineers,
dc.titleSolving Hanging Relevancy using Genetic Algorithm
dc.typeConference Paper
dcterms.source.startPage9
dcterms.source.endPage12
dcterms.source.titleProceeding of 2nd IEEE International Conference on Uncertainty Reasoning and Knowledge Engineering
dcterms.source.seriesProceeding of 2nd IEEE International Conference on Uncertainty Reasoning and Knowledge Engineering
dcterms.source.isbn978-1-4673-1459-6
dcterms.source.conference2nd IEEE International Conference on Uncertainty Reasoning and Knowledge Engineering
dcterms.source.conference-start-dateAug 14 2012
dcterms.source.conferencelocationJakarta, Indonesia
dcterms.source.placeUnited States
curtin.departmentCurtin Sarawak
curtin.accessStatusFulltext not available


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