Special Issue Article Open Access

Restructure Search Results for Efficient Web Search

Abstract

Nowadays every individual are accessing web to find out the needed information. Usage of web rapidly increases and for that the search engine results should be reorganized for easier user interaction for web search user has different goals for different query while submitting into the search engine. Inference of user goal for a query helps to improve search engine relevance by analyzing query logs. In this paper a framework is proposed to identify different user search goal for a query by clustering filter session. Filter session is generated based on user clicked logs that reflect user needs. Feedback contains both clicked and un-clicked URL’s Second, propose a new method to generate precise text to appropriate representation of filter session for clustering. Mapping filters session to precise text to find goal text in user mind. Finally propose a novel Criterion “Assorted Average Precision” to determine the performance of inferring user search goals.

Addlin Shinney R, Saravana Kumar T and Roslinmary M

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