山东大学学报（理学版） ›› 2017, Vol. 52 ›› Issue (9): 26-34.doi: 10.6040/j.issn.1671-9352.1.2016.047
张帆,罗成,刘奕群,张敏,马少平
ZHANG Fan, LUO Cheng, LIU Yi-qun, ZHANG Min, MA Shao-ping
摘要： 提出了一系列基于搜索结果页面的特征用于学习分类器,自动预测用户的偏好性,并尝试将预测模型与用户实验结合起来。实验结果表明,尽管异质环境下搜索结果页面有着丰富的信息,但仅基于搜索结果页面的展现形式难以对用户的偏好性做出可靠的预测。
中图分类号:
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