User generated meta data aggregation in the context of web search and discovery
Publisher: Chislehurst : Ravensbourne College, 2007001: 12448Subject(s): Internet | Interactive media | Web sites | Research methods | Search enginesGenre/Form: DissertationItem type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | |
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Reference Book | MAIN LIBRARY Dissertation | DISSERTATION (Browse shelf(Opens below)) | 1 | Not for loan | 092377 |
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In the early days of the world wide web, search engines used to read so called Meta Tags within the website source code in order to determine the content of a page. Nowadays search engines do not consider those tags as very relevant anymore. Instead they use other, more sophisticated algorithms to determine not only the content but also the context around an internet site. This dissertation and research paper argues we have to go a step further: The content of a website should not be classified by machines but by the people who use it. Other than machines, humans can determine the context and nature of a website intuitively. With the dawn of the participative web the time is right to introduce user generated classification of websites. This dissertation discusses the development and rationale behind the proposed way of search and discover of online content.
MA dissertation: Networked Media Environments
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