Research on the algorithm application of intelligent computer system in the optimization of precision poverty alleviation strategy

This paper discusses the application of intelligent computing system in improving the efficiency of targeted poverty alleviation strategies. Based on J2EE platform, a set of comprehensive functions, friendly interface, safe and stable rural poverty alleviation information system is constructed. The system covers multiple modules such as population management, family planning, party-mass interaction, resource allocation, social affairs handling, and village affairs disclosure, aiming to reduce the work pressure of township governments and improve the overall work efficiency. Then, a transaction tree construction algorithm is proposed, which can be used to precisely divide the specific domain in the information system, and the mapping relationship between the domain model and the system design elements is established by this algorithm. With the help of component technology, the operation of each object in the system is carefully planned, thus enhancing the reusability and customization ability of the system. Experimental verification shows that the proposed method not only improves the operating efficiency of the system, but also has good expansibility and maintainability.