Key information pushing method and device based on user behavior data
A key information and behavior technology, applied in digital data information retrieval, electronic digital data processing, special data processing applications, etc., can solve problems such as low efficiency, low user label accuracy, and inability to recommend target data for users.
Active Publication Date: 2021-01-19
PING AN TECH (SHENZHEN) CO LTD
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Problems solved by technology
[0004] Embodiments of the present invention provide a method, device, computer equipment, and storage medium for pushing key information based on user behavior data, aiming to solve the problem of Due to the large number of dimensions, the accuracy of obtaining user tags is low, and the efficiency is low, and it is impossible to recommend target data to users more accurately.
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[0033] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0034] It should be understood that when used in this specification and the appended claims, the terms "comprising" and "comprises" indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude one or Presence or addition of multiple other features, integers, steps, operations, elements, components and / or collections thereof.
[0035] It should also be understood that the terminology used ...
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The invention discloses a key information pushing method and device based on user behavior data, computer equipment and a storage medium, and relates to an artificial intelligence technology. The keyinformation pushing method includes: performing fine-grained grouping division on a user behavior data set for at least three times to obtain a plurality of second classification result subsets, and training a plurality of prediction sub-models by taking the second classification result subsets as data samples; if the current user behavior data uploaded by the user side is received, obtaining corresponding target user behavior data, a corresponding target second classification result subset and a target prediction sub-model corresponding to the target second classification result subset, and inputting the current user behavior data into the target prediction sub-model for operation, and obtaining a corresponding current prediction result, obtaining a target screened field factor set corresponding to the target second classification result subset, and sending the target screened field factor set to a corresponding user side. According to the method and device, the model which is more matched with the current user behavior data for prediction is obtained, the obtained prediction result is more accurate, and the data pushed to the user side is more accurate.
Description
technical field [0001] The present invention relates to the technical field of intelligent decision-making of artificial intelligence, in particular to a key information push method, device, computer equipment and storage medium based on user behavior data. Background technique [0002] At present, in the field of information recommendation distribution, more and more information recommendation algorithms have emerged. For example, a common information recommendation method is to first obtain the user tags of the target users, and then filter the target data corresponding to the user tags in the database, and then push the target data to the target users. The information recommendation algorithm in the prior art is suitable for scenarios where user tags are easy to obtain. Once the user's user tags are difficult to obtain, data recommendation cannot be performed. [0003] For example, after collecting a large amount of user behavior data and user attribute data, the accurac...
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Login to View More IPC IPC(8): G06F16/9535G06K9/62
CPCG06F16/9535G06F18/23213G06F18/24
Inventor 余雯张莉刘聃
Owner PING AN TECH (SHENZHEN) CO LTD