@inproceedings{bda179589cc941daae33acd777513d74,
title = "Capturing user reading behaviors for personalized document summarization",
abstract = "We propose a new personalized document summarization method, which observes a user's reading behaviors, including user facial expressions, gaze positions, and reading durations, during his or her past reading activities to infer the user's personal reading preferences. Once a user's personal reading preferences are derived, our algorithm can then automatically generate document summarization in a personalized way. We compare the performance of our algorithm with that of a few peer algorithms and software packages. The result of our comparative study shows that our algorithm can produce superior personalized document summaries than those peer methods in that the automatic document summarization generated by our algorithm can better satisfy a user's personal preferences.",
keywords = "Facial expressions, Gaze positions, Personal preferences, Personalized document summarization, Reading durations, Reading preference",
author = "Hao Jiang and Songhua Xu and Lau, \{Francis C.M.\}",
year = "2011",
doi = "10.1145/1943403.1943464",
language = "英语",
isbn = "9781450304191",
series = "International Conference on Intelligent User Interfaces, Proceedings IUI",
pages = "355--358",
booktitle = "Proceedings of the 15th International Conference on Intelligent User Interfaces, IUI'11",
note = "2011 15th ACM International Conference on Intelligent User Interfaces, IUI'11 ; Conference date: 13-02-2011 Through 16-02-2011",
}