@inproceedings{d4d5570af8f644d5a8af1b26b86c4e77,
title = "Adaptive maximum marginal relevance based multi-email summarization",
abstract = "By analyzing the inherent relationship between the maximum marginal relevance (MMR) model and the content cohesion of emails with the same subject, this paper presents an adaptive maximum marginal relevance based multi-email summarization method. Due to the adoption of approximate computing of email content cohesion, the adaptive MMR is able to automatically adjust the parameters according to the changing of the email sets. The experimental results have shown that the email summarizing system based on this technique can increase the precision while reducing the redundancy of the automatic summary results, consequently improve the average quality of email summaries.",
keywords = "Adaptive model, Content cohesion, Maximum marginal relevance, Multi-email summarization",
author = "Baoxun Wang and Bingquan Liu and Chengjie Sun and Xiaolong Wang and Bo Li",
year = "2009",
doi = "10.1007/978-3-642-05253-8\_46",
language = "英语",
isbn = "3642052525",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "417--424",
booktitle = "Artificial Intelligence and Computational Intelligence - International Conference, AICI 2009, Proceedings",
note = "International Conference on Artificial Intelligence and Computational Intelligence, AICI 2009 ; Conference date: 07-11-2009 Through 08-11-2009",
}