Reimagining Search.
The article discusses search engine optimization with a focus on returning queries rather than text strings. The integration of machine learning into search engines is described, the development of search engine algorithms and models by computer scientist Daniel Tunkelang is examined, and informatio...
| Publicado en: | Communications of the ACM Vol. 59; no. 6; pp. 17 - 20 |
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| Formato: | Artículo |
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Association for Computing Machinery
Jun2016
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=115648835&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 115648835 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00010782 ACM jtl: Communications of the ACM issn: 00010782 maglogo: N pubinfo: dt: Jun2016 vid: 59 iid: 6 pid: 68 pub: Association for Computing Machinery artinfo: ui: 115648835 10.1145/2911971 ppf: 17 ppct: 3 formats: tig: atl: Reimagining Search. aug: au: Wright, Alex su: Search engine optimization Machine learning Structured techniques of electronic data processing Automatic speech recognition Google (Web resource) sug: subj: Search engine optimization Machine learning Structured techniques of electronic data processing Automatic speech recognition Google (Web resource) ab: The article discusses search engine optimization with a focus on returning queries rather than text strings. The integration of machine learning into search engines is described, the development of search engine algorithms and models by computer scientist Daniel Tunkelang is examined, and information is offered on the use of voice recognition software and structured data in internet searches of technology company Google. pubtype: Periodical doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2016 holdings: @attributes: islocal: N |
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