A Hierarchical Optimizer for Recommendation System Based on Shortest Path Algorithm
英文摘要：
Top-k Nearest Geosocial Keyword (T-kNGK) query on geosocial network is defined to give users k recommendations based on some keywords and designated spatial range, and can be realized by shortest path algorithms. However, shortest path algorithm cannot provide convincing recommendations, so we design a hierarchical optimizer consisting of classifiers and a constant optimizer to optimize the result by some features of the service providers.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
