A Hierarchical Optimizer for Recommendation System Based on Shortest Path Algorithm

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Jiacheng Dai, Zhifeng Jia, Xiaofeng Gao, Guihai Chen

Published: 2019, Last Modified: 22 Jan 2026CoRR 2019EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: 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.