Abstract
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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
