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5. Model Optimization Suggestions Model optimization is an ongoing process that can improve the performance, scalability and practicality of the model. You can focus on the following aspects: Framework selection: Consider replacing or combining different algorithms/processes to find the model that best suits the current data and tasks. Conduct in-depth analysis of cases where the model predicts errors to identify error patterns and causes. When selecting a model, consider possible future expansions such as supporting new features or processing larger amounts of data. Strengthen the security of the process to prevent potential data leaks and malicious attacks.



Involve users in the model optimization process to iran phone number format collect their feedback and suggestions. Continuously monitor the performance of the model and user feedback after the model is deployed to quickly respond to issues. 6. Conclusion: The knowledge base function of the platform has been online for some time, and functions such as auxiliary page blueprints have also been tested internally for several rounds. In general, there are still many improvements to the efficiency of complex systems. It is just that the required documents must be prepared in the early stage, especially the operation manual of the enterprise knowledge base.



The company documents can be said to be the most important thing. The construction of the system's operation manual also requires a long time to settle down. The auxiliary function of t needs to continuously settle the standardized scenarios of the system and try to provide enough samples for learning. The generated content will be more in line with the needs. The above are some personal summaries. If you have any questions, you can raise them at any time for discussion. Coupon issuance is a process of precision marketing. Using the t model to calculate the user's gain or profit helps us maximize the incremental value and avoid blindly issuing coupons.



As an operator, do you often face these two confusions when issuing coupons to users? Confusion 1. The marketing cost of large-scale coupon issuance is very high and the utilization rate is very low. Confusion 2. The utilization rate of coupons is very high and the incremental performance brought by coupons is very small. This situation often leads to coupons being issued to active users. Even if these users do not issue coupons, they will place orders with a high probability. Let's explore how to solve this problem through actual cases. Background: Send recall SMS to lost users.