A personalized cloud engine for multimedia search based on binary ant colony algorithm
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...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Jin, Tao [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2019 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer Science+Business Media, LLC, part of Springer Nature 2019 |
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| Übergeordnetes Werk: |
Enthalten in: Multimedia tools and applications - Springer US, 1995, 79(2019), 23-24 vom: 11. Apr., Seite 16487-16499 |
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| Übergeordnetes Werk: |
volume:79 ; year:2019 ; number:23-24 ; day:11 ; month:04 ; pages:16487-16499 |
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10.1007/s11042-019-7372-3 |
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| 520 | |a 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. | ||
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10.1007/s11042-019-7372-3 doi (DE-627)OLC2035081300 (DE-He213)s11042-019-7372-3-p DE-627 ger DE-627 rakwb eng 070 004 VZ Jin, Tao verfasserin (orcid)0000-0002-4295-9178 aut A personalized cloud engine for multimedia search based on binary ant colony algorithm 2019 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2019 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. Cloud engine Binary ant colony Search engine Multimedia search engine Personalized search Wang, Haijun aut Li, Zhaojun (Steven) aut Enthalten in Multimedia tools and applications Springer US, 1995 79(2019), 23-24 vom: 11. Apr., Seite 16487-16499 (DE-627)189064145 (DE-600)1287642-2 (DE-576)052842126 1380-7501 nnns volume:79 year:2019 number:23-24 day:11 month:04 pages:16487-16499 https://doi.org/10.1007/s11042-019-7372-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OLC-BUB SSG-OLC-MKW GBV_ILN_70 AR 79 2019 23-24 11 04 16487-16499 |
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10.1007/s11042-019-7372-3 doi (DE-627)OLC2035081300 (DE-He213)s11042-019-7372-3-p DE-627 ger DE-627 rakwb eng 070 004 VZ Jin, Tao verfasserin (orcid)0000-0002-4295-9178 aut A personalized cloud engine for multimedia search based on binary ant colony algorithm 2019 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2019 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. Cloud engine Binary ant colony Search engine Multimedia search engine Personalized search Wang, Haijun aut Li, Zhaojun (Steven) aut Enthalten in Multimedia tools and applications Springer US, 1995 79(2019), 23-24 vom: 11. Apr., Seite 16487-16499 (DE-627)189064145 (DE-600)1287642-2 (DE-576)052842126 1380-7501 nnns volume:79 year:2019 number:23-24 day:11 month:04 pages:16487-16499 https://doi.org/10.1007/s11042-019-7372-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OLC-BUB SSG-OLC-MKW GBV_ILN_70 AR 79 2019 23-24 11 04 16487-16499 |
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10.1007/s11042-019-7372-3 doi (DE-627)OLC2035081300 (DE-He213)s11042-019-7372-3-p DE-627 ger DE-627 rakwb eng 070 004 VZ Jin, Tao verfasserin (orcid)0000-0002-4295-9178 aut A personalized cloud engine for multimedia search based on binary ant colony algorithm 2019 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2019 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. Cloud engine Binary ant colony Search engine Multimedia search engine Personalized search Wang, Haijun aut Li, Zhaojun (Steven) aut Enthalten in Multimedia tools and applications Springer US, 1995 79(2019), 23-24 vom: 11. Apr., Seite 16487-16499 (DE-627)189064145 (DE-600)1287642-2 (DE-576)052842126 1380-7501 nnns volume:79 year:2019 number:23-24 day:11 month:04 pages:16487-16499 https://doi.org/10.1007/s11042-019-7372-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OLC-BUB SSG-OLC-MKW GBV_ILN_70 AR 79 2019 23-24 11 04 16487-16499 |
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10.1007/s11042-019-7372-3 doi (DE-627)OLC2035081300 (DE-He213)s11042-019-7372-3-p DE-627 ger DE-627 rakwb eng 070 004 VZ Jin, Tao verfasserin (orcid)0000-0002-4295-9178 aut A personalized cloud engine for multimedia search based on binary ant colony algorithm 2019 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2019 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. Cloud engine Binary ant colony Search engine Multimedia search engine Personalized search Wang, Haijun aut Li, Zhaojun (Steven) aut Enthalten in Multimedia tools and applications Springer US, 1995 79(2019), 23-24 vom: 11. Apr., Seite 16487-16499 (DE-627)189064145 (DE-600)1287642-2 (DE-576)052842126 1380-7501 nnns volume:79 year:2019 number:23-24 day:11 month:04 pages:16487-16499 https://doi.org/10.1007/s11042-019-7372-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OLC-BUB SSG-OLC-MKW GBV_ILN_70 AR 79 2019 23-24 11 04 16487-16499 |
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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. © Springer Science+Business Media, LLC, part of Springer Nature 2019 |
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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. © Springer Science+Business Media, LLC, part of Springer Nature 2019 |
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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. © Springer Science+Business Media, LLC, part of Springer Nature 2019 |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">OLC2035081300</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230504154603.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">200819s2019 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s11042-019-7372-3</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC2035081300</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-He213)s11042-019-7372-3-p</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">070</subfield><subfield code="a">004</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Jin, Tao</subfield><subfield code="e">verfasserin</subfield><subfield code="0">(orcid)0000-0002-4295-9178</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">A personalized cloud engine for multimedia search based on binary ant colony algorithm</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2019</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Springer Science+Business Media, LLC, part of Springer Nature 2019</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract At present, the search content and results of common multimedia search engines have gradually failed to meet the personalized search requirements of users. 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