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Optimizing Websites in the Post Panda World.

Webmasters' traditional approach to search engine optimization was long based on matching query terms with word tokens. The result was a machine-oriented reflection of presumed relevance among retrieved items. Yet humans interpret content differently, focusing more on meaning than match, prompting p...

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Publicado en:Bulletin of the American Society for Information Science & Technology Vol. 39; no. 1; pp. 17 - 20
Autor principal: Sweeny, Marianne
Formato: Journal Article
Publicado: Wiley-Blackwell Oct/Nov2012
Acceso en línea:Ver este registro en EBSCOhost
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      pub: Wiley-Blackwell
      place: Malden, Massachusetts
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        atl: Optimizing Websites in the Post Panda World.
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        au: Sweeny, Marianne
        affil: Search engine optimization specialist, Portent Interactive
      sug:
        subj:
          Web Search Engines
          Website Development
          Access to Information
          Semantics
          Social Media
          Algorithms
      ab: Webmasters' traditional approach to search engine optimization was long based on matching query terms with word tokens. The result was a machine-oriented reflection of presumed relevance among retrieved items. Yet humans interpret content differently, focusing more on meaning than match, prompting programmers to focus on semantics, applied ontologies and predictive machine learning. Google Panda upended tradition with a focus on internal content quality and user engagement as well as the external influences of social media interaction, comments and reviews. Information architects can support a better search user experience through page layout, a flatter architecture, simpler site navigation and strong semantic connections between content and external authority resources.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
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