  The crucial role of the evaluation in the development of the information
retrieval tools is useful evidence to improve the performance of these tools
and the quality of results that they return. However, the classic evaluation
approaches have limitations and shortcomings especially regarding to the user
consideration, the measure of the adequacy between the query and the returned
documents and the consideration of characteristics, specifications and
behaviors of the search tool. Therefore, we believe that the exploitation of
contextual elements could be a very good way to evaluate the search tools. So,
this paper presents a new approach that takes into account the context during
the evaluation process at three complementary levels. The experiments gives at
the end of this article has shown the applicability of the proposed approach to
real research tools. The tests were performed with the most popular searching
engine (i.e. Google, Bing and Yahoo) selected in particular for their high
selectivity. The obtained results revealed that the ability of these engines to
rejecting dead links, redundant results and parasites pages depends strongly to
how queries are formulated, and to the political of sites offering this
information to present their content. The relevance evaluation of results
provided by these engines, using the user's judgments, then using an automatic
manner to take into account the query context has also shown a general decline
in the perceived relevance according to the number of the considered results.
