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Deep neural network information recommendation system applied to smart campus

A smart campus and artificial intelligence technology, applied in data processing applications, instruments, character and pattern recognition, etc., can solve problems such as personality differences and students' living habits without consideration, so as to avoid excessive differentiation and save human and material resources. Effect

Pending Publication Date: 2022-01-28
徐佳
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  • Claims
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AI Technical Summary

Problems solved by technology

Therefore, the current dormitory allocation management method does not take into account the differences in students' living habits, personalities, etc., and there are hidden dangers that different students may have conflicts due to these differences

Method used

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  • Deep neural network information recommendation system applied to smart campus

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Embodiment Construction

[0043] In order to more clearly illustrate the technical solutions in the embodiments of this paper or the prior art, the accompanying drawings that need to be used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the accompanying drawings in the following description are only For some embodiments herein, those skilled in the art can also obtain other drawings based on these drawings without creative effort.

[0044] The following will clearly and completely describe the technical solutions in the embodiments herein in conjunction with the accompanying drawings in the embodiments herein. Obviously, the described embodiments are only some of the embodiments herein, not all of them. Based on the embodiments herein, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts fall within the scope of protection herein.

[0045] see figure 1 , in one embodiment, the deep neural network in...

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Abstract

The invention relates to a deep neural network information recommendation system applied to a smart campus. The system comprises: a smart campus platform and student terminals, wherein each student terminal is in communication connection with the smart campus platform; the intelligent campus platform comprises: a data processing module, an artificial intelligence module, and a database, wherein the database is in communication connection with the data processing module and the artificial intelligence module, and the data processing module and the artificial intelligence module are in communication connection. The data processing module generates a first-order aggregation vector according to the first-class first-order statistics, the second-class first-order statistics and the third-class first-order statistics, generates a second-order aggregation vector according to the first-class second-order statistics, the second-class second-order statistics and the third-class second-order statistics, and generates an aggregation feature vector of student analysis data according to the first-order aggregation vector and the second-order aggregation vector. The artificial intelligence module inputs the aggregated feature vectors of all the student analysis data into a smart campus management model to output dormitory allocation data.

Description

technical field [0001] The invention relates to the fields of smart campus and artificial intelligence, in particular to a deep neural network information recommendation system applied to smart campus. Background technique [0002] Artificial neural network is a research hotspot in the field of artificial intelligence in recent years. It abstracts the human brain neuron network from the perspective of information processing, establishes a simple model, and forms different networks according to different connection methods. With the continuous deepening of the research work of artificial neural network, great progress has been made. It has successfully solved many problems that modern computers cannot solve in the fields of pattern recognition, intelligent robot, automatic control, prediction and estimation, biology, medicine, economy and so on. practical problems. [0003] At present, when schools allocate dormitories to students, they generally use the pre-allocation meth...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/20G06K9/62
CPCG06Q10/06311G06Q50/205G06F18/23G06F18/253
Inventor 徐佳
Owner 徐佳
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