Creation method and device for web page scoring model
A web page and model technology, applied in the computer field, can solve problems such as insufficient learning, insufficient function, unreasonable web page scoring model, etc., to achieve the effect of improving search experience and improving accuracy
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Embodiment 1
[0023] Figure 1A It is a schematic flowchart of a method for creating a webpage scoring model provided by Embodiment 1 of the present invention. Using the webpage scoring model created in this embodiment, multiple webpages under any input query can be scored, and the search product can sort the multiple webpages according to the scoring results, and then sort the multiple webpages after sorting. Link information corresponding to the web page is presented to the user. Figure 1B It is an application scenario of ranking webpages used by the method for creating a webpage scoring model provided in Embodiment 1 of the present invention. see Figure 1B , the basic flow of webpage sorting can be divided into two processes: offline training and online prediction. The input of offline training is a webpage training sample set, and a webpage scoring model is produced by the learning system. The learning system uses the method provided in this embodiment. A method for creating a webpa...
Embodiment 2
[0042] figure 2 It is a schematic flowchart of a method for creating a webpage scoring model provided by Embodiment 2 of the present invention. In this embodiment, operation 120 is optimized on the basis of the first embodiment above. see figure 2 , the method provided in this embodiment specifically includes the following operations:
[0043] Operation 210, acquiring a webpage training sample set, wherein the webpage training sample set includes feature vectors and annotation scores of a plurality of sample webpages under each query word in at least one preset query word.
[0044] Operation 220. Obtain an original loss function obtained according to the annotation scores of each sample webpage in the webpage training sample set.
[0045] In this embodiment, the original loss function is generated in advance according to the annotation scores of each sample webpage in the webpage training sample set, and then according to the machine learning algorithm, the characteristic...
Embodiment 3
[0084] image 3 It is a schematic flowchart of a method for creating a webpage scoring model provided by Embodiment 3 of the present invention. On the basis of the first and second embodiments above, this embodiment further adds the operations of updating the action coefficient in the target loss function and creating a new webpage scoring model. see image 3 , the method provided in this embodiment specifically includes the following operations:
[0085] Operation 310, acquiring a webpage training sample set, wherein the webpage training sample set includes feature vectors and annotation scores of a plurality of sample webpages under each query word in at least one preset query word.
[0086] Operation 320. Obtain an original loss function obtained according to the annotation scoring of each sample webpage in the webpage training sample set.
[0087] Operation 330. Determine the decision factor in the original loss function used to measure the degree of difference between ...
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