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Research Article Open Access
The number of resources of information has increased significantly and Information Retrieval (IR) based on keyword in web has become very significant.XML has become the widely used format for sharing of information. As the number of resources of information has increased significantly and retrieval of correct data according to user preference may not be achieved efficiently. In order to improve the search of XML documents according to the user requirement and preference we use personalized search based on user preference stored as an XML document. The problem in personalized search is in identifying the correct preferences based on the search text. We have a proposed solution, in which the user preferences stored as keywords in an XML document are identified based on the query the user enters and is ranked based on ranking function of top k algorithm. The documents will be listed as two separate list one based on keyword and the other based on user preference with the relevance status value. The documents in both the lists can then be listed based on reranking strategies. The documents matching in both the list will be listed first and then reranked based on user preference score and relevance status value .The remaining documents will be included for listing based on reranking strategies .In this paper we have shown the simulation of identifying the user preference based on the user input and displaying the xml documents based on user query and preference and ranking them based on reranking strategies.
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Author(s): B. Kurinchi Meenakshi, C.Nalini