The natural language task creation feature of ai-goofish-monitor revolutionizes the traditional way of monitoring goods. Users simply enter a simple description like 'Looking for a used MacBook with a price point of $3,000-$5,000, post-2019 model, 90% newer or more', and the AI automatically translates it into complex rules containing keywords, price ranges, and specific filtering criteria.
The technical realization of this feature relies on:
- GPT-4o Powerful natural language understanding capability to accurately parse user requirements
- Predefined commodity attribute extraction model to convert free text into structured rules
- Dynamically adjusted filtering logic that automatically optimizes rules to improve accuracy
In practice, this feature can shorten the traditional rule-setting process that requires specialized knowledge from 30 minutes to 30 seconds, which greatly reduces the user's learning cost. the accuracy of the rules automatically generated by AI reaches more than 90%, which meets most of the shopping needs.
This answer comes from the articleIdlefish Intelligent Monitoring Robot: an AI tool to monitor and analyze Idlefish goods in real timeThe