Word group recommendation method and system, storage medium and equipment
A recommendation method and phrase technology, applied in digital data information retrieval, special data processing applications, instruments, etc., can solve problems affecting user input efficiency, unable to recommend phrases, etc.
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Embodiment 1
[0041] see figure 1 , shows the phrase recommendation method in the first embodiment of the present invention, the method includes steps S101 to S103:
[0042] S101. Obtain the text information of the input text, divide the text information through the pre-trained phrase segmentation model to obtain a phrase set, the phrase set includes multiple text phrases, and identify the page environment of the currently input text according to the text information.
[0043] In this application, for different windows, the content attributes of the current window are obtained by acquiring the text information of different windows, thereby establishing a recommendation basis for the next phrase recommendation, and then segmenting the acquired text information into phrases , to get multiple text phrases, which is convenient for obtaining the text content of the input text in more detail.
[0044] S102. Obtain the letter information currently input, query and obtain the phrase options that m...
Embodiment 2
[0050] Please check figure 2 , shows the phrase recommendation method in the second embodiment of the present invention, the method includes steps S201 to S204:
[0051] S201. Acquire the text information of the input text, divide the text information through the pre-trained phrase segmentation model to obtain a phrase set, the phrase set includes multiple text phrases, and identify the page environment of the currently input text according to the text information.
[0052] As a specific example, when the user enters a phrase word c in a certain window, the system will perform the following calculation: through the stored historical data h of the input content of the window, h is a phrase set {T 1 , T 2 ,...,T n}. For example, if the user has entered "sports special students shine at the sports meeting" in a word, the system will store {"sports", "special talents", "sports meeting", "sports meeting"}.
[0053] Further, please refer to image 3 , step S201 specifically in...
Embodiment 3
[0083] see Figure 5 , showing the phrase recommendation system in the third embodiment of the present invention, the system includes:
[0084] The first obtaining module is used to obtain the text information of the input text, and divide the text information according to the phrase division rule to obtain a phrase set, and the phrase set includes a plurality of text phrases;
[0085] The second obtaining module is used to obtain the letter information currently input, query and obtain the phrase option conforming to the letter information according to the letter information, and the phrase option includes a plurality of pre-phrases;
[0086] The recommendation module is used to calculate the word vector correlation degree of each described pre-phrase group and the text phrase group by the word vector model of pre-training, and the pre-phrase group after the correlation degree calculation is carried out phrase sorting according to the degree of relevance, and the phrase sorti...
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