Identification and Analysis of Multi-tasking Product Information Search Sessions with Query Logs

Identification and Analysis of Multi-tasking Product Information Search Sessions with Query Logs
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具有查询日志的多任务产品信息搜索会话的识别和分析

DOI:
10.20309/jdis.201621
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发表时间:
2016-08
影响因子:
1.5
通讯作者:
Jun Wang
Jun Wang
中科院分区:
管理学4区
文献类型:
--
作者:
Xiang Zhou;Pengyi Zhang;Jun Wang

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Abstract Purpose This research aims to identify product search tasks in online shopping and analyze the characteristics of consumer multi-tasking search sessions. Design/methodology/approach The experimental dataset contains 8,949 queries of 582 users from 3,483 search sessions. A sequential comparison of the Jaccard similarity coefficient between two adjacent search queries and hierarchical clustering of queries is used to identify search tasks. Findings (1) Users issued a similar number of queries (1.43 to 1.47) with similar lengths (7.3–7.6 characters) per task in mono-tasking and multi-tasking sessions, and (2) Users spent more time on average in sessions with more tasks, but spent less time for each task when the number of tasks increased in a session. Research limitations The task identification method that relies only on query terms does not completely reflect the complex nature of consumer shopping behavior. Practical implications These results provide an exploratory understanding of the relationships among multiple shopping tasks, and can be useful for product recommendation and shopping task prediction. Originality/value The originality of this research is its use of query clustering with online shopping task identification and analysis, and the analysis of product search session characteristics.
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