情报研究

移动搜索会话中的后续行为研究

  • 梁少博 ,
  • 尉子仪 ,
  • 臧岚
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  • 1 武汉大学信息管理学院 武汉 430072;
    2 武汉大学人机交互与用户行为研究中心 武汉 430072;
    3 湖北大学文学院 武汉 430062
梁少博,讲师,博士,E-mail:liangshaobo@whu.edu.cn;尉子仪,本科生;臧岚,讲师,博士。

收稿日期: 2022-08-17

  修回日期: 2022-10-12

  网络出版日期: 2023-02-09

基金资助

本文系国家自然科学基金青年项目“基于情境视角的用户移动搜索跨应用行为策略与预测研究”(项目编号:72104187)和中国博士后基金面上项目“智能手机用户跨应用行为特征挖掘与路径识别研究”(项目编号:2021M692480)研究成果之一。

A Study of Follow-Up Behavior in Mobile Search Sessions

  • Liang Shaobo ,
  • Wei Ziyi ,
  • Zang Lan
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  • 1 School of Information Management, Wuhan University, Wuhan 430072;
    2 Center for Studies of Human-Computer Interaction and User Behavior, Wuhan University, Wuhan 430072;
    3 College of Chinese Language and Literature, Hubei University, Wuhan 430062

Received date: 2022-08-17

  Revised date: 2022-10-12

  Online published: 2023-02-09

摘要

[目的/意义] 近年来,移动搜索行为成为信息检索领域的重要研究问题,用户在移动搜索过程中会发生较多的后续行为,对移动搜索后续行为进行研究有助于深入了解移动搜索意图、挖掘移动搜索行为特征。[方法/过程] 基于移动搜索会话中的后续行为视角,通过一次真实场景下的用户实验,结合用户手机交互日志数据与结构化日志数据,分析用户在移动搜索会话中的后续行为特征。[结果/结论] 在移动搜索中,移动搜索引发的后续行为主要包括持续搜索、信息分享、网络购物、通话服务、出行导航,其中以持续搜索、信息分享为主;移动搜索任务、搜索动机、搜索主题与不同类型后续行为之间的关联存在差异;在APP使用路径方面,用户在后续行为中的APP使用路径较为复杂,呈现出明显的中心性。

本文引用格式

梁少博 , 尉子仪 , 臧岚 . 移动搜索会话中的后续行为研究[J]. 图书情报工作, 2023 , 67(2) : 76 -85 . DOI: 10.13266/j.issn.0252-3116.2023.02.008

Abstract

[Purpose/Significance] In recent years, mobile search behavior has become an important research problem in the field of information retrieval, a large number of follow-up behaviors occur in the process of mobile search, and the study of mobile search follow-up behaviors can help to understand users' mobile search intention and understand the characteristics of users' mobile search behavior.[Method/Process] From the perspective of the follow-up behavior in the mobile search session, this paper analyzed the characteristics of the user's follow-up behavior in the mobile search session through a user experiment in a real scene, combining the user's mobile interaction log data and structured log data.[Result/Conclusion] In mobile search, the following behaviors triggered by mobile search mainly include continuous search, information sharing, online shopping, call service, travel navigation, among which continuous search and information sharing are the main ones; There are differences in the associations between mobile search tasks, search motivations, search topics and different types of follow-up behaviors; In terms of the APP use path, the user's subsequent APP use path is more complex, showing obvious centrality.

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