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A personalized cloud engine for multimedia search based on binary ant colony algorithm
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DOI：10.1007/s11042-019-7372-3.png)
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Abstract
En 中文
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.
Keywords:
Cloud engine
Binary ant colony
Search engine
Multimedia search engine
Personalized search
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