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Top-k Nearest Geosocial Keyword (T-kNGK) query on geosocial network isdefined to give users k recommendations based on some keywords and designatedspatial range, and can be realized by shortest path algorithms. However,shortest path algorithm cannot provide convincing recommendations, so we designa hierarchical optimizer consisting of classifiers and a constant optimizer tooptimize the result by some features of the service providers.

A Hierarchical Optimizer for Recommendation System Based on Shortest Path Algorithm