Content query method and device, electronic equipment and storage medium
A technology of content query and storage media, applied in the field of smart devices, can solve the problems of long links and lack of convenience and instant search, and achieve the effect of optimizing time-consuming
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Embodiment 1
[0049] Such as figure 1 , the present invention provides an embodiment of a content query method, comprising steps:
[0050] S100: When acquiring the voice instruction, match the high-frequency question list with the voice instruction.
[0051] Exemplarily, when the smart device acquires the voice command issued by the user, the backend of the smart device matches the high-frequency question list with the voice command collected in real time, and checks whether there is such a voice command in the high-frequency question list.
[0052] S200 When the matching is successful, perform content query based on the predicted intention information obtained by the voice command and the touched position on the learning page after receiving the voice command.
[0053] Exemplarily, if there is a voice instruction in the high-frequency question list, the intention information corresponding to the high-frequency question list pair is used as the predicted intention information of the voice ...
Embodiment 2
[0061] Based on the above-mentioned embodiment, the parts that are the same as those in the above-mentioned embodiment in this embodiment will not be described one by one, such as figure 2 As shown, this embodiment provides a content query method, which specifically includes:
[0062] S100: When acquiring the voice instruction, match the high-frequency question list with the voice instruction.
[0063] S201 When the matching between the initial intention information and the predicted intention information fails, use the initial intention information of the voice query to obtain the first content to be recognized.
[0064] Exemplarily, in order to avoid the inaccuracy of the predicted intention information, the initial intention information is calculated in real time. The initial intent information is used to perform matching verification on the predicted intent information, and when the matching verification fails, the initial intent information is used to directly query the...
Embodiment 3
[0080] Based on the above-mentioned embodiments, the parts that are the same as the above-mentioned embodiments in this embodiment will not be described one by one. This embodiment provides a content query method, which specifically includes:
[0081] The original technical solution of Wisdom Eye query is as follows:
[0082] Step 1. Wake up the voice assistant: the user calls "Xiaobu Xiaobu" to wake up the voice assistant.
[0083] Step 2. Recognize voice commands: the user speaks voice commands and recognizes them in real time through ASR technology, such as "what does this word mean?".
[0084] Step 3. Understand the user's intention: understand the user's intention through NLP technology, for example, the intention of "what does this word mean?" is "query new words".
[0085] Step 4. Fingertip positioning: After the user finishes speaking, Smart Eye takes a photo and recognizes the coordinates of the user's finger, and frames the content to be recognized according to the ...
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