Work

A Hierarchical Optimizer for Recommendation System Based on Shortest Path Algorithm

Year: 2019

Type: preprint

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.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.1911.08994

Authors: Dai, Jiacheng, Jia, Zhifeng, Gao, Xiaofeng, Chen, Guihai

Institution: Shanghai Jiao Tong University

Language: English

Topic: Recommender Systems and Techniques

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2990799297

Cites: 1

Cited by: 1

Related to: 10