A perfect cognitive engine selection strategy from me through user feedback
A technology for selecting strategies and engines, applied in the field of translation engines, can solve problems such as inability to obtain results, delay in manual switching, inability to perform precise control, etc., and achieve an easy-to-use effect
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[0020] The present invention provides a self-improvement cognitive engine selection strategy through user feedback, and the production method includes the following steps;
[0021] Step 1: Users can give feedback and score for each translation result;
[0022] Step 2: The server will collect the delayed data of each business;
[0023] Step 3: There is a list of supported engines for each language, and all engine failures have the same proportion;
[0024] Step 4: Adjust the proportion of the engine according to the results of daily user feedback;
[0025] Step 5: Adjust the proportion of the engine according to the delay data of the engine;
[0026] Step 6: The engine with the highest priority is selected for each business.
[0027] The steps 1 and 2 are data source processes, and the steps 3, 4, 5 and 6 are strategy optimization processes, and the results of each translation in the step 1 include recognition results, text translation results, and speech synthesis results ...
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