Research on Collaborative Acquisition of Multidimensional Massive Web Based on Fusion Credibility
In the era of rapid development of Internet technology and people’s growing social needs, web information collection has been successfully applied to the major search engines and search areas. In this paper, the mass information collection is regarded as the dynamic task allocation problem based on...
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2017-01-01
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Online Access: | https://doi.org/10.1051/matecconf/201712804013 |
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doaj-938c1a60c99f41ca9bd28cb96d145dc02021-03-02T11:12:15ZengEDP SciencesMATEC Web of Conferences2261-236X2017-01-011280401310.1051/matecconf/201712804013matecconf_eitce2017_04013Research on Collaborative Acquisition of Multidimensional Massive Web Based on Fusion CredibilityYa-juan ZhangWen-qing HeIn the era of rapid development of Internet technology and people’s growing social needs, web information collection has been successfully applied to the major search engines and search areas. In this paper, the mass information collection is regarded as the dynamic task allocation problem based on the co-operation of the package. A multi-dimensional computer resource model is proposed, which uses the heuristic algorithm of the mutation to match the heuristic algorithm. Conditional cost objective function is optimized, so that the whole system in the process of dynamic changes, the time and cost are as small as possible. Finally, the experimental results show that the algorithm can meet the different user requirements on the basis of maximizing the total cost of the system.https://doi.org/10.1051/matecconf/201712804013 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ya-juan Zhang Wen-qing He |
spellingShingle |
Ya-juan Zhang Wen-qing He Research on Collaborative Acquisition of Multidimensional Massive Web Based on Fusion Credibility MATEC Web of Conferences |
author_facet |
Ya-juan Zhang Wen-qing He |
author_sort |
Ya-juan Zhang |
title |
Research on Collaborative Acquisition of Multidimensional Massive Web Based on Fusion Credibility |
title_short |
Research on Collaborative Acquisition of Multidimensional Massive Web Based on Fusion Credibility |
title_full |
Research on Collaborative Acquisition of Multidimensional Massive Web Based on Fusion Credibility |
title_fullStr |
Research on Collaborative Acquisition of Multidimensional Massive Web Based on Fusion Credibility |
title_full_unstemmed |
Research on Collaborative Acquisition of Multidimensional Massive Web Based on Fusion Credibility |
title_sort |
research on collaborative acquisition of multidimensional massive web based on fusion credibility |
publisher |
EDP Sciences |
series |
MATEC Web of Conferences |
issn |
2261-236X |
publishDate |
2017-01-01 |
description |
In the era of rapid development of Internet technology and people’s growing social needs, web information collection has been successfully applied to the major search engines and search areas. In this paper, the mass information collection is regarded as the dynamic task allocation problem based on the co-operation of the package. A multi-dimensional computer resource model is proposed, which uses the heuristic algorithm of the mutation to match the heuristic algorithm. Conditional cost objective function is optimized, so that the whole system in the process of dynamic changes, the time and cost are as small as possible. Finally, the experimental results show that the algorithm can meet the different user requirements on the basis of maximizing the total cost of the system. |
url |
https://doi.org/10.1051/matecconf/201712804013 |
work_keys_str_mv |
AT yajuanzhang researchoncollaborativeacquisitionofmultidimensionalmassivewebbasedonfusioncredibility AT wenqinghe researchoncollaborativeacquisitionofmultidimensionalmassivewebbasedonfusioncredibility |
_version_ |
1724235127120199680 |