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  • 标题:Research on Collaborative Acquisition of Multidimensional Massive Web Based on Fusion Credibility
  • 本地全文:下载
  • 作者:Zhang Ya-juan ; He Wen-qing
  • 期刊名称:MATEC Web of Conferences
  • 电子版ISSN:2261-236X
  • 出版年度:2017
  • 卷号:128
  • 页码:1-4
  • DOI:10.1051/matecconf/201712804013
  • 语种:English
  • 出版社:EDP Sciences
  • 摘要: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.
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