In recent years, the imbalance of rural information supply and demand has seriously hindered the process of rural informatization. Rural information demand is a decisive factor in the relationship between rural information supply and demand. Therefore, research on the influencing factors of rural information demand has attracted much attention. The traditional rural information demand factor analysis does not consider the correlation between factors. The factors themselves carry a lot of repeated information, which seriously interferes with the objectivity of the analysis results. Proceeding from the complexity and diversity of influencing factors of rural information demand, based on the selected subjective and objective factors, based on the forward partial correlation analysis and post-ROC test, a probit discriminant model of influencing factors of rural information demand was constructed, and the relationship with Lingshou was determined. There are 24 factors that are significantly related to county rural information needs. The research results show that this method not only eliminates the factors that carry highly repetitive information and the correlation is not significant but also makes the results more reliable. At the same time, it also found that rural information supply is related to farmers’ information cognition ability, acceptance awareness, and acceptance ability. This study provides new methods and new ideas for solving related problems.

中文翻译：

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基于大数据的农村信息需求评价模型研究

近年来，农村信息供需不平衡严重阻碍了农村信息化进程。农村信息需求是影响农村信息供求关系的决定性因素。因此，对农村信息需求影响因素的研究引起了人们的广泛关注。传统的农村信息需求因素分析没有考虑因素之间的相关性。这些因素本身携带大量重复信息，从而严重干扰了分析结果的客观性。从农村信息需求影响因素的复杂性和多样性出发，基于选择的主观和客观因素，基于正向偏相关分析和ROC后检验，建立了农村信息需求影响因素的概率判别模型，并确定了与灵寿的关系。有24个因素与县农村信息需求显着相关。研究结果表明，该方法不仅消除了携带高度重复信息的因素，相关性不显着，而且结果更加可靠。同时，还发现农村信息供给与农民的信息认知能力，接受意识和接受能力有关。这项研究提供了解决相关问题的新方法和新思路。研究结果表明，该方法不仅消除了携带高度重复信息的因素，相关性不显着，而且结果更加可靠。同时，还发现农村信息供给与农民的信息认知能力，接受意识和接受能力有关。这项研究提供了解决相关问题的新方法和新思路。研究结果表明，该方法不仅消除了携带高度重复信息的因素，相关性不显着，而且结果更加可靠。同时，还发现农村信息供给与农民的信息认知能力，接受意识和接受能力有关。这项研究提供了解决相关问题的新方法和新思路。