Wake-up word recommendation method and apparatus, a terminal device and a storage medium
A recommendation method and wake-up word technology, applied in speech analysis, speech recognition, instruments, etc., can solve the problems of unable to recommend matching wake-up words, poor human-computer interaction experience, and inability to achieve personalized push, so as to improve the human-computer interaction experience. Effect
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Embodiment 1
[0029] figure 1 It is a flow chart of a wake-up word recommendation method provided by Embodiment 1 of the present invention. This embodiment is applicable to recommending related voice wake-up words to the user based on the user's network data. This method can be implemented by the wake-up word in the embodiment of the present invention. Word recommendation device to perform, the device can be implemented by software and / or hardware, and integrated in the terminal device or server, the method specifically includes the following steps:
[0030] S110. Acquire network data of the target user within a preset time period; wherein, the network data includes at least one content display page and a user behavior type corresponding to the at least one content display page.
[0031] Network data, including the page information obtained by the user through the terminal device, for example, the display page of the nearby road conditions searched by the user through the vehicle-mounted te...
Embodiment 2
[0055] figure 2 It is a structural block diagram of a device for recommending wake-up words provided in Embodiment 2 of the present invention. The device specifically includes: a network data acquisition module 210, a text importance score acquisition module 220, a behavior type score acquisition module 230, and a recommendation score acquisition module 240 and a wake-up word display module 250;
[0056] A network data acquisition module 210, configured to acquire network data of target users within a preset period of time; wherein, the network data includes at least one content display page, and a user behavior type corresponding to the at least one content display page;
[0057] The text importance score obtaining module 220 is used to obtain the candidate keywords in each of the content display pages, and obtain the text importance score of each of the candidate keywords according to the word frequency and the inverse text frequency index;
[0058] A behavior type score a...
Embodiment 3
[0079] image 3 It is a schematic structural diagram of a terminal device provided by Embodiment 3 of the present invention. image 3 A block diagram of an exemplary terminal device 12 suitable for implementing embodiments of the invention is shown. image 3 The displayed terminal device 12 is only an example, and should not limit the functions and scope of use of this embodiment of the present invention.
[0080] Such as image 3 As shown, terminal device 12 takes the form of a general purpose computing device. Components of terminal device 12 may include, but are not limited to: one or more processors or processing units 16, memory 28, bus 18 connecting various system components (including memory 28 and processing unit 16).
[0081] Bus 18 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, or a local bus using any of a variety of bus structures. These archite...
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