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基于眼动数据的网络搜索行为预测方法

卢万譞 贾云得

卢万譞, 贾云得. 基于眼动数据的网络搜索行为预测方法[J]. 北京航空航天大学学报, 2015, 41(5): 904-910. doi: 10.13700/j.bh.1001-5965.2014.0464
引用本文: 卢万譞, 贾云得. 基于眼动数据的网络搜索行为预测方法[J]. 北京航空航天大学学报, 2015, 41(5): 904-910. doi: 10.13700/j.bh.1001-5965.2014.0464
LU Wanxuan, JIA Yunde. Predicting web search behavior based on gaze data[J]. Journal of Beijing University of Aeronautics and Astronautics, 2015, 41(5): 904-910. doi: 10.13700/j.bh.1001-5965.2014.0464(in Chinese)
Citation: LU Wanxuan, JIA Yunde. Predicting web search behavior based on gaze data[J]. Journal of Beijing University of Aeronautics and Astronautics, 2015, 41(5): 904-910. doi: 10.13700/j.bh.1001-5965.2014.0464(in Chinese)

基于眼动数据的网络搜索行为预测方法

doi: 10.13700/j.bh.1001-5965.2014.0464
基金项目: 高等学校博士学科点专项科研基金(20121101110035)
详细信息
    作者简介:

    卢万譞(1986—),男,北京人,博士研究生,luwanxuan@bit.edu.cn

    通讯作者:

    贾云得(1962—),男,山西大同人,教授,jiayunde@bit.edu.cn,主要研究方向为计算机视觉、人机交互和智能系统等.

  • 中图分类号: TP391

Predicting web search behavior based on gaze data

  • 摘要: 预测用户的网络搜索行为对改进搜索引擎和提升用户体验十分重要.现有大多数方法是基于用户的交互数据,如查询、点击和鼠标移动等.提出一种基于眼动数据的用户网络搜索行为预测方法.通过眼动实验,采集用户在网络搜索任务时的眼睛运动数据,将这些数据转化成两种数据格式:直方图和序列.直方图数据描述用户注意力的分布情况,序列数据呈现用户的扫视路径.使用4种学习算法对用户决策或用户意图进行预测,同时研究两种数据格式的性能.结果显示,两种数据格式均适合于预测用户决策,而序列数据更适合于预测用户意图.该结果表明,利用眼动数据能够有效预测网络搜索行为.

     

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出版历程
  • 收稿日期:  2014-04-28
  • 修回日期:  2014-08-01
  • 网络出版日期:  2015-05-20

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