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2018 | OriginalPaper | Chapter

An Information Filtering Model Based on Neural Network

Author : Rongrong Li

Published in: Computational Intelligence and Intelligent Systems

Publisher: Springer Singapore

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Abstract

Thorough analysis of the traditional linear model of information filtering, an improved model is proposed based on neural network, which reflects the user’s expectation. Taking 200 Email as the test object, the advantages and disadvantages of the linear model and the improved model are compared. The improved information filtering model has strong self-learning ability and adaptive ability, and improves the recognition rate.

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Metadata
Title
An Information Filtering Model Based on Neural Network
Author
Rongrong Li
Copyright Year
2018
Publisher
Springer Singapore
Book
Computational Intelligence and Intelligent Systems

Print ISBN: 978-981-13-1650-0

Electronic ISBN: 978-981-13-1651-7

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-981-13-1651-7_19

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