Collection and Selection Based Relevant Degrees Of Documents
Mechach Kheira, Zekri Lougmiri, Abdi Mustapha Kamel
Journal of Digital Information Management, Vol. 13, No. 2, 2015.
DOI: 
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Abstract:
In this paper, we address the problem of
selection collections. This is important for locating responses in digital libraries. The aim of methods, which deal with the area of information retrieval, is to reduce the
amount of the exchanged messages by selecting the best servers from the beginning of the search. We propose a new function of selection based on statistics. Our function
takes into account the relevance degree of documents in order to rank collections. We have implemented and compared our function with other methods. The experimentation have shown that our proposition is very competitive.