An Information Filtering Model Based on Neural Network

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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