Previous studies on rank learning methods [5, 13, 17, 20] show that, in general, UTB-REFs lead to more precise information retrieval results than nUTB-REFs.
However, effective and precise image retrieval still remains a problem because of the extreme difficulty in image understanding, and high-level knowledge required.
In this study, we present an up-to-date investigation of ranking evaluation functions (REFs), a special class of objective function employed in rank learning methods aimed at providing precise information retrieval.
To this purpose, our system involves two different modules: an efficient and precise FAQ retrieval module and, a tag cloud generation module designed to help users to complete the comprehension of the retrieved information.
If the use of DFT shows better accuracy in terms of fault classification, the DWT seems to be more precise in the retrieval task.
Semantic search systems allow much more precise and focused retrieval and extraction than do the traditional keyword-based systems [ 112].
In terms of timing, the relatively precise epoch of retrieval of Si following the presentation of the outcome may reflect the point of strongest overlap between a variety of timings in individual subjects.
The probabilistic nature of the model allows for a precise formulation of retrieval, in which the model is queried with the differential expression in gene sets of an experiment and it returns a ranked list of relevant experiments.
As the number of KOA patients are estimated to increase dramatically in the future, there is a huge need for an easy and precise method for retrieval of PROs from this patient category [ 8, 9].
Yuan et al. [28] recently investigated real-time retrieval using precise point positioning technique and good results were obtained.
