User generated meta data aggregation in the context of web search and discovery
Burgdorfer, Christoph
User generated meta data aggregation in the context of web search and discovery - Chislehurst : Ravensbourne College, 2007
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
Internet
Interactive media
Web sites
Research methods
Search engines
Dissertation
User generated meta data aggregation in the context of web search and discovery - Chislehurst : Ravensbourne College, 2007
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
Internet
Interactive media
Web sites
Research methods
Search engines
Dissertation