A Hierarchical Optimizer for Recommendation System Based on Shortest Path Algorithm

Authors :: Dai, Jiacheng
Jia, Zhifeng
Gao, Xiaofeng
Chen, Guihai
Publication Year :: 2019
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.<br />Comment: The report is in a length of 2 pages, and includes 3 figures

Subjects :: Computer Science - Social and Information Networks
Computer Science - Information Retrieval

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