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Improvement on Management of Tags Using an Event Queue

Authors
Choi, Won SeokSohn, Kyu-SeekJoe, Inwhee
Issue Date
Jan-2023
Publisher
Springer Science and Business Media Deutschland GmbH
Keywords
Event queue; Google analytics; Google tag manager; Tag; Tag loading time; Tag omission
Citation
Lecture Notes in Networks and Systems, v.597 LNNS, pp.166 - 173
Indexed
SCOPUS
Journal Title
Lecture Notes in Networks and Systems
Volume
597 LNNS
Start Page
166
End Page
173
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/182454
DOI
10.1007/978-3-031-21438-7_14
ISSN
2367-3370
Abstract
The tag is a snippet of webpage scripts tracking interactions of users on the website consisting of webpages. In these days, most companies and organizations even individuals use the tags to understand the effects of their websites and the intends of web users. Because sequential loading of tags on a website worsens the performance of the website, most tag management systems use asynchronous tag loading schemes on the websites. In this paper, we propose an asynchronous tag loading scheme using the event queue. Evaluation with the Google Analytics shows that the proposed tag loading scheme can reduce the average webpage loading time by 61.47% and reduce the average tag omission count by 5.1% against the synchronous tag loading scheme.
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서울 공과대학 > 서울 컴퓨터소프트웨어학부 > 1. Journal Articles

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