A Hierarchical Optimizer for Recommendation System Based on Shortest Path Algorithm
Social and Information Networks
2019-11-21 v1 Information Retrieval
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.
Cite
@article{arxiv.1911.08994,
title = {A Hierarchical Optimizer for Recommendation System Based on Shortest Path Algorithm},
author = {Jiacheng Dai and Zhifeng Jia and Xiaofeng Gao and Guihai Chen},
journal= {arXiv preprint arXiv:1911.08994},
year = {2019}
}
Comments
The report is in a length of 2 pages, and includes 3 figures