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https://doi.org/10.17559/TV-20180408134120

ETGP: Top-K Geography-Text P/S Approach without Threshold

Zongmin Cui ; School of Information Science and Technology, Jiujiang University, No. 551, Qianjin East Road, Jiujiang, Jiangxi 332005, China
Hongbo Li ; School of Computer Science and Information Technology, Daqing Normal University, Xibin Xi Road, Ranghulu District, Daqing, Heilongjiang Province, China
Hong Zhu ; School of Computer Science and Technology, Huazhong University of Science and Technology, 1037 Luoyu Road, Hongshan District, Wuhan, Hubei 430074, China


Puni tekst: engleski pdf 923 Kb

str. 1408-1413

preuzimanja: 473

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Sažetak

Social media are more and more popular. Subsequently, geography-text data has caused wide attention. Different from the traditional publish/subscribe (P/S), geography-text data is published and subscribed in the form of dynamic data flow in the mobile network. The difference raises higher demands for facility. However, previous top-k geography-text P/S approaches want to set a set of thresholds. A user should take time to set a threshold for each subscription, which is not facile enough. The threshold yields many weaknesses to users. Therefore, we herein propose an efficient top-k geography-text P/S approach that excludes the threshold, called ETGP. Our approach does not need users to set any threshold. Subsequently, the ETGP returns the highest score results to the subscriber without setting a threshold. Therefore, our approach can lessen redundant computations, promote the query integrity rate, and make P/S system easier for the user to use. Comprehensive experiments prove the efficiency of the proposed approach with high facility.

Ključne riječi

geography-text data query; none threshold; P/S; publish/subscribe system; top-khighest score

Hrčak ID:

207441

URI

https://hrcak.srce.hr/207441

Datum izdavanja:

28.10.2018.

Posjeta: 1.013 *