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But the blend of factors in a local search, on the side of both supply (quality of reviews, accuracy of a listing) and demand (geographic proximity, search history), make it a formidable field of study.
Finally, the third phase applies a proximity search approach to further improve the solution, taking into account the original graph.
At first, a proximity search is done in the target map within a certain radius around the position of the start node of the source edge, and the dissimilarity measure is computed for the found edges.
Moreover, for many of the non-existing routes, GIMME can identify a negative quickly in line 3 of Algorithm 1, that is, using the fact that the GM algorithm already identifies non-existence of a match (for single edges) by a quick proximity search.
The results were compared to bit string based molecular fingerprints incorporating a suitable threshold for the Tanimoto coefficient [10] and to nearest neighbour search, also known as proximity search or closest point search which is the simplest implementation of all peak matching methods.
In order to take into account the wider context in which the categories were grounded, we also took a proximity search that included the preceding and following five lines of the core codes about consultation quality.
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Proximity searching is the problem of retrieving, from a given database, those objects closest to a query.
One example is a linked list; it is the worst data structure for exact searching, and one of the most competitive for proximity searching.
A counter example in proximity searching is the static Spatial Approximation Tree (SAT), which is slower than its dynamic version (DSAT).
Proximity searching, using search terms within five words, was utilised for 'clinician' and 'perception'perception
The advanced search tool as shown in Figure 2A allows the user to perform proximity searches between miRNA targets and dSNPs.
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