Ranking search results by reranking the results based on local inter-connectivity

   
   

A search engine for searching a corpus improves the relevancy of the results by refining a standard relevancy score based on the interconnectivity of the initially returned set of documents. The search engine obtains an initial set of relevant documents by matching a user's search terms to an index of a corpus. A re-ranking component in the search engine then refines the initially returned document rankings so that documents that are frequently cited in the initial set of relevant documents are preferred over documents that are less frequently cited within the initial set.

Un Search Engine pour rechercher un corpus améliore la pertinence des résultats en raffinant des points standard de pertinence basés sur l'interconnectivity de l'ensemble de documents au commencement retourné. Le Search Engine obtient un premier ensemble de documents appropriés en assortissant les limites de la recherche d'un utilisateur à un index d'un corpus. Un composant de re-rang dans le Search Engine raffine alors les rangs au commencement retournés de document de sorte que des documents qui sont fréquemment cités dans l'ensemble initial de documents appropriés soient préférés au-dessus des documents qui sont moins fréquemment cités dans l'ensemble initial.

 
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