韩国购物搜索引擎1300K网站的移动和桌面用户搜索行为

Soyeon Park, Kihun Cho
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引用次数: 1

摘要

本研究旨在通过交易日志分析,调查和比较韩国购物搜索引擎1300K网站的移动和桌面用户搜索行为。设计/方法/方法在2018年1月1日至3月31日的三个月内收集了1300K站点的交易日志。本研究的数据集包括1,149,690个桌面查询,2,346,938个移动查询,2,481,747个桌面浏览活动和2,550,309个移动浏览活动。本研究对1300K站点的交易日志进行了定量分析。这项研究的结果表明,移动端的使用率高于桌面端的使用率:移动端的会话比桌面端的会话多,移动端的查询数量是桌面端的两倍多。总体而言,移动端查询搜索行为比桌面端查询搜索行为更简单、更有针对性、更集中。此外,手机浏览行为比桌面浏览行为更简单和被动。然而,手机点击行为比桌面点击行为更活跃。原创性/价值据作者所知,这项研究似乎是韩国第一个比较大量用户在台式电脑和手机上的搜索行为的研究。为了识别用户搜索行为的各种特征,本研究分析了用户的目录浏览行为和点击行为以及查询搜索行为。本研究的结果可用于解决针对不同设备的搜索服务和界面的有效改进和开发。
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Mobile vs desktop user search behaviours of the 1300K site, a Korean shopping search engine
Purpose This study aims to investigate and compare mobile and desktop user search behaviours of the 1300K site, a Korean shopping search engine, by using transaction log analysis. Design/methodology/approach Transaction logs of 1300K site were collected over a three months’ period, from 1 January to 31 March 2018. The data set of this study consists of 1,149,690 desktop queries, 2,346,938 mobile queries, 2,481,747 desktop browsing activities and 2,550,309 mobile browsing activities. This study quantitatively analyses transaction log of 1300K site. Findings The results of this study show that mobile usage is higher than desktop usage: there are more mobile sessions than desktop sessions and the number of mobile queries is more than double of desktop queries. Overall, mobile query search behaviours are more simple, targeted and focused than desktop query search behaviours. Also, mobile browsing behaviours are more simple and passive than desktop browsing behaviours. However, mobile click behaviours are more active than desktop click behaviours. Originality/value To the best of the authors’ knowledge, this study appears to be the first of its type in Korea that compared search behaviours of a large number of users on desktop computers and mobile phones. To identify various characteristics of user search behaviours, this study analyses users’ directory browsing behaviour and click behaviour as well as query search behaviour. The results of this study can be implemented to address the effective improvement and development of search services and interfaces for different devices.
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