ArticleScientific reports2025
Application of improved FP-tree algorithm in rural accurate information service.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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4 authors.
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Abstract
The imbalance between supply and demand of rural information is a prominent problem faced by rural informatization. The lack of an effective supply of rural information is the biggest cause of this problem. The innovation of rural accurate information service mode has important practical significance in improving the contradiction between the supply and demand of rural information. This study analyzes the advantages and disadvantages of the existing rural information service modes at home and abroad. Based on the existing problems of rural information service model in China, a rural accurate information service model based on an improved FP Tree algorithm is proposed. The effectiveness of the mode is verified by simulation experiments, and the specific implementation path is given. The results show that the main problems of the rural information service model in China are lack of pertinence, low information quality of farmers, high information cost, and imperfect long-term mechanism; the rural accurate information service model based on improved FP Tree algorithm overcomes the above problems in terms of organization mode, service content, communication mode, benefit distribution, and technical support Under the same data scale and tolerance, the improved FP Tree algorithm is better than the traditional Apriori algorithm.
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