ETGP: Top-K Geography-Text P/S Approach without Threshold
; School of Information Science and Technology, Jiujiang University, No. 551, Qianjin East Road, Jiujiang, Jiangxi 332005, China
; School of Computer Science and Information Technology, Daqing Normal University, Xibin Xi Road, Ranghulu District, Daqing, Heilongjiang Province, China
; School of Computer Science and Technology, Huazhong University of Science and Technology, 1037 Luoyu Road, Hongshan District, Wuhan, Hubei 430074, China
APA 6th Edition Cui, Z., Li, H. i Zhu, H. (2018). ETGP: Top-K Geography-Text P/S Approach without Threshold. Tehnički vjesnik, 25 (5), 1408-1413. https://doi.org/10.17559/TV-20180408134120
MLA 8th Edition Cui, Zongmin, et al. "ETGP: Top-K Geography-Text P/S Approach without Threshold." Tehnički vjesnik, vol. 25, br. 5, 2018, str. 1408-1413. https://doi.org/10.17559/TV-20180408134120. Citirano 19.10.2019.
Chicago 17th Edition Cui, Zongmin, Hongbo Li i Hong Zhu. "ETGP: Top-K Geography-Text P/S Approach without Threshold." Tehnički vjesnik 25, br. 5 (2018): 1408-1413. https://doi.org/10.17559/TV-20180408134120
Harvard Cui, Z., Li, H., i Zhu, H. (2018). 'ETGP: Top-K Geography-Text P/S Approach without Threshold', Tehnički vjesnik, 25(5), str. 1408-1413. https://doi.org/10.17559/TV-20180408134120
Vancouver Cui Z, Li H, Zhu H. ETGP: Top-K Geography-Text P/S Approach without Threshold. Tehnički vjesnik [Internet]. 2018 [pristupljeno 19.10.2019.];25(5):1408-1413. https://doi.org/10.17559/TV-20180408134120
IEEE Z. Cui, H. Li i H. Zhu, "ETGP: Top-K Geography-Text P/S Approach without Threshold", Tehnički vjesnik, vol.25, br. 5, str. 1408-1413, 2018. [Online]. https://doi.org/10.17559/TV-20180408134120
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.