Computer readable storage medium, intelligent answering method and intelligent answering device
A storage medium and intelligent question-and-answer technology, applied in the field of intelligent interaction, can solve problems such as low intelligence, inaccurate answers, and no establishment, etc., to achieve the effect of improving accuracy, improving intelligence, and complete answer information
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example 1
[0124] Example 1: The user enters the information "how to open a credit card through online banking and how to open a color ring tone" at one time.
[0125] Step S301 is executed: receiving the current request information "how to open a credit card through online banking, how to open a CRBT".
[0126] Execute step S302, compare the similarity between the current request information and the questions in the knowledge base, and find that the highest semantic similarity between the current request information and the questions in the knowledge base is less than the preset threshold, that is, there is no corresponding knowledge point in the knowledge base , execute step S303.
[0127] Step S303 is executed to determine whether there is a clause in "how to open a credit card through online banking, and how to open a color ring tone". By identifying "," in the current request information, it is determined that the current request information has a clause, and then respectively obtai...
example 2
[0128] Example 2: The user enters information 1 "How to cancel the CRBT" and gets the answer directly from the knowledge base.
[0129]The user inputs information 2 "how to open a credit card through online banking", and directly obtains the answer from the knowledge base.
[0130] The user enters information 3 "How about via SMS" and cannot directly obtain the answer from the knowledge base, but through the above embodiment, "how about via SMS" is deduced as "how to open a credit card via SMS", and then the answer is obtained from the knowledge base.
[0131] The user inputs information 4 "via WeChat", and the user input information 4 is the current request information.
[0132] Step S301 is executed to receive the current request information "via WeChat".
[0133] Execute step S302, compare the similarity between the current request information and the questions in the knowledge base, and find that the highest semantic similarity between the current request information and ...
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