In the era of advanced information technology, new media represented by mobile phones have the characteristics of fast information dissemination, unlimited time, and place, and they are loved by people. Just like this, many businesses and enterprises use new media tools to promote and sell product information, and they have achieved positive results. In this context, this paper mainly studies the impact of new media communication on consumer behavior. By combining the characteristics of the industrial edge cloud deployment algorithm, an analysis model of behavior influencing factors is constructed, and relevant analysis is carried out. This paper mainly obtains experimental data by means of questionnaires and conducts experimental demonstrations for the proposed hypotheses. Before the experiment, the algorithm is compared and analyzed, and it is concluded that when the production line is 50, the algorithm in this paper is 0.6% and 0.32% lower than other algorithms under the SER index. When the production line is 100, the algorithm in this paper is 9.9% and 6.3% lower than other algorithms under the ELDR index. When the production line is 150, the algorithm in this paper is 2.2% and 2.4% lower than other algorithms under the ACR index, indicating that the performance of the algorithm in this paper is better than other algorithms under the SER, ELDR, and ACR indexes. In the correlation and regression analysis of variables, the results show that there is a positive relationship between consumer behavior and consumer willingness. At the same time, there is a positive relationship between consumer willingness and perceived novelty, perceived value, perceived interactivity, and perceived usefulness of new media. The coefficients of its functional expression are 0.411, 0.378, 0.241, and 0.216, respectively, verifying the assumptions 3, 5, 7, and 8 hold. It shows that consumer behavior is affected by consumer willingness, and consumer willingness is most affected by the perceived novelty of new media, followed by new media perceived value, perceived interactivity, and perceived usefulness.

中文翻译：

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基于工业边缘云部署算法的新媒体传播对消费者行为的影响

在信息技术发达的时代，以手机为代表的新媒体具有信息传播速度快、不受时间、地点限制等特点，深受人们喜爱。就这样，很多商家和企业利用新媒体工具来宣传和销售产品信息，并取得了积极的效果。在此背景下，本文主要研究新媒体传播对消费者行为的影响。结合工业边缘云部署算法的特点，构建行为影响因素分析模型，并进行相关分析。本文主要通过问卷调查的方式获取实验数据，并对提出的假设进行实验论证。实验前对算法进行对比分析，并得出结论，当生产线为50时，本文算法在SER指标下比其他算法低0.6%和0.32%。当产线为100条时，本文算法在ELDR指标下比其他算法低9.9%和6.3%。当生产线为150条时，本文算法在ACR指标下分别比其他算法低2.2%和2.4%，说明本文算法在SER、ELDR、ACR指标下的性能优于其他算法索引。在变量的相关性和回归分析中，结果表明消费者行为与消费者意愿之间存在正相关关系。同时，消费者意愿与感知新颖性、感知价值、感知交互性、以及新媒体的感知有用性。其函数表达式的系数分别为 0.411、0.378、0.241 和 0.216，验证了假设 3、5、7 和 8 成立。表明消费者行为受消费者意愿的影响，消费者意愿受新媒体感知新颖性影响最大，其次是新媒体感知价值、感知交互性和感知有用性。