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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