Guangyong Yang1, Jianqiu Zeng1, Mengke Yang2, *, Yifei Wei3, Xiangqing Wang3, Zulfiqar Hussain Pathan4
CMC-Computers, Materials & Continua, Vol.63, No.2, pp. 769-785, 2020, DOI:10.32604/cmc.2020.07528
Abstract A vast amount of information has been produced in recent years, which brings
a huge challenge to information management. The better usage of big data is of important
theoretical and practical significance for effectively addressing and managing messages.
In this paper, we propose a nine-rectangle-grid information model according to the
information value and privacy, and then present information use policies based on the
rough set theory. Recurrent neural networks were employed to classify OTT messages. The
content of user interest is effectively incorporated into the classification process during the
annotation of OTT messages, ending with a reliable trained classification model.… More >
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