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In a document retrieval system where data is stored§and compared with a specific query and then compared§with other documents, we need to find the document§that is most similar to the query. The most similar§document will have the weight higher than other§documents. When more than one document are proposed§to the user, these documents have to be sorted§according to their weights. Once the result is§presented to the user by a recommender system, the§user may check any document of interest. If there are§two different documents lists, as two proposed§results presented by different recommender systems,§then, there is a need to find which list is more§efficient. To do so, the measuring tool Search§Engine Ranking Efficiency Evaluation Tool [SEREET] §came to existence. This tool assesses the efficiency§of each documents list and assigns a numerical value§to the list. The value will be closer to 100% if the§ranking list efficiency is high which means more§relevance documents exist in the list and documents§are sorted according to their relevance to the user.
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