Understanding method and device for queries, equipment and storage medium
A sequence and search vector technology, applied in the field of information processing, can solve problems such as model effect constraints, inability to parse, and inability to transfer labeled corpus, so as to optimize the training model, improve model ability and generalization ability, and improve the effect of understanding
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Embodiment 1
[0033] figure 1 It is a flow chart of a method for understanding a search sequence in Embodiment 1 of the present invention. This embodiment is applicable to the understanding of a search sequence in a specific field, and the method can be executed by a device for understanding a search sequence. Specifically Including the following steps:
[0034] Step 110, determine the word vectors of each word included in the tagged search sequence.
[0035] In this embodiment, an annotated search sequence refers to an artificially annotated search sequence with annotated results. Specifically, for a specific field, the field annotation content of the search sequence may be the name of the field, such as the movie field, the transportation field, and the like.
[0036] Among them, the word vector can represent a word as a very long vector through the one-hot encoding notation, and its dimension is the size of the vocabulary, most of the elements are 0, and there is only one dimension val...
Embodiment 2
[0046] figure 2 It is a flowchart of a search sequence understanding method in Embodiment 2 of the present invention. In this embodiment, on the basis of the above embodiments, the method for understanding the above search sequence is further optimized. Correspondingly, such as figure 2 As shown, the method of this embodiment specifically includes:
[0047] Step 210, determine the word vectors of each word included in the tagged search sequence.
[0048] Step 220, acquiring each URL site name and the click-through search sequence and non-click search sequence of each URL site name.
[0049] Wherein, the URL site name is a combination of server name and domain name in the URL, for example: if the URL is: http: / / flights.ctrip.com / fuzzy / #ctm_ref=ctr_nav_flt_fz_pgs, then the server name of this URL is flights, The domain name is ctrip.com, and the site name is flights.ctrip.com, or you can use the page title of flights.ctrip.com as the site name.
[0050] Specifically, all ...
Embodiment 3
[0066] image 3 It is a flowchart of a search sequence understanding method in Embodiment 3 of the present invention. On the basis of the foregoing embodiments, this embodiment specifically illustrates the model determination of domain recognition, intention recognition, and slot recognition in the method for understanding the search sequence. Correspondingly, the method in this embodiment specifically includes:
[0067] Step 310, determine the word vectors of each word included in the tagged search sequence.
[0068] Step 320, using the hidden layer parameters, convolutional layer parameters and pooling layer parameters in the search sequence CNN model obtained in advance according to each URL site name and the click search sequence and non-click search sequence training of each URL site name as the initial field Identify hidden layer parameters, convolutional layer parameters, and pooling layer parameters in the model.
[0069] Step 321: According to the domain annotation...
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