09 September 2010
[Distributed Artificial Intelligence] [Computational Trust] [Social Search] [Web 2.0] [Data Mining] [Multi-agent Systems]
[Autonomic Computing] [Self-adaptation] [Algorithms] [Novel Paradigms] [Cognitive Science] [Neural Science] [Statistics]
Sophie - a Reasoning Engine for Implicit Web Ranking using Users Activity
As the World Wide Web grows in size, web search technology has become an indispensable tool in web browsing. Current search engines yield ever-larger result sets and the capacity of contemporary ranking solutions to deliver useful orderings of these search results is diminishing.

Developments in web searching technology are increasingly focussed on social aspects, awareness of content quality and relevance to individuals. There is a growing demand for a new generation of search engine technology that ranks web pages more usefully and the most promising techniques are based on analysing the browsing activity and interests of web users.

Sophie is structured as a peer technology, based on recent works in peer web computations. It was conceived as a partial integrating solution to the issue of the better ranking of third party search results, by reasoning on the activity performed by users over web pages during a search.

 

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