A New Architecture for Web Meta-Search Engines

Web search engines have become the necessary tools for Web users to search useful information. However, users often face problems such as how to find the right information promptly with the least effort. This paper examines the limitations of current Web search engines and proposes a new Web meta-search engine architecture. The proposed architecture uses a multi-agent approach to process the user queries with greater personalization functionality and higher result quality than regular meta-search engines. Thus, the propose method improves the usability and efficiency of current search engines.

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