META SEARCH ENGINE

Meta search engines are designed to improve the efficiency and breadth of online searches by aggregating results from multiple search engines. Unlike traditional search engines, which rely on their own indexed databases and algorithms, meta search engines query several search engines simultaneously and present a unified set of results. This approach addresses limitations in single search engines, such as limited coverage, ranking biases, and incomplete results (Zhang & Wu, 2005; Jansen & Pooch, 2001). Meta search engines work by distributing user queries to various search engines, collecting the results, and then aggregating and ranking them based on their own algorithms (Kumar & Desai, 2021). This enables users to access a broader range of information, combining results from different sources and increasing the likelihood of finding relevant content. Additionally, meta search engines offer features like result filtering, customization, and privacy protection to enhance the overall search experience. By combining results from multiple sources, meta search engines help mitigate ranking biases present in individual search engines (Yuwono & Lee, 1997).