A personalized cloud engine for multimedia search based on binary ant colony algorithm

  • Tao Jin
  • Haijun Wang
  • Zhaojun (Steven) LiEmail author


At present, the search content and results of common multimedia search engines have gradually failed to meet the personalized search requirements of users. The paper focuses on personalized cloud search engines for multimedia. First, the binary ant colony algorithm is optimized by the cloud model. Then, the binary ant colony algorithm is used to improve the multimedia search engine. Detailedly, a binary directed graph for ant colony traversal is designed in which each ant traverses its own path, and the solution traverses by each ant is integrated to solve the problem. Experiments show that the proposed method effectively improves the query speed of personalized multimedia search engines, reduces redundant information, and improves the user search experience.


Cloud engine Binary ant colony Search engine Multimedia search engine Personalized search 



This paper is funded by following projects: National Natural Science Foundation of China (No. 7156303, No. 61741509); Project of Inner Mongolia Educational Department (NJZY015).


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© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Ordos Institute of TechnologyOrdosChina
  2. 2.Department of Industrial Engineering and Engineering ManagementWestern New England UniversitySpringfieldUSA

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