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Click rate prediction model construction method and device, computer equipment and storage medium

A technology for forecasting models and construction methods, which is applied in the computer field and can solve problems such as unusable, limited model performance, and low applicability of click-through rate prediction

Pending Publication Date: 2022-06-24
GUANGZHOU LIZHI NETWORK TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In the click-through rate prediction model solution provided by related technologies, when the memory of the device deployed by the model is limited, the performance of the model may be limited or even unusable, and the applicability of click-through rate prediction is low

Method used

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  • Click rate prediction model construction method and device, computer equipment and storage medium
  • Click rate prediction model construction method and device, computer equipment and storage medium
  • Click rate prediction model construction method and device, computer equipment and storage medium

Examples

Experimental program
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Effect test

Embodiment 1

[0053] figure 1 A flowchart of a method for constructing a click-through rate prediction model provided in Embodiment 1 of the present invention, the method may be executed by a click-through rate prediction model construction device, and the click-through rate prediction model construction device may be implemented by software and / or hardware, and may Configured in computer equipment such as servers, personal computers, and the like. The method for constructing the click-through rate prediction model specifically includes the following steps:

[0054] Step 101: Acquire the behavior data of the user playing the sound in the set historical time period, the text data of the played sound, the click rate of the exposed tag, and the basic attribute data of the user and the basic attribute data of the tag.

[0055] In the process of listening to the sound on the online audio platform, users will generate various behavior data, such as the behavior data of playing the sound, the lik...

Embodiment 2

[0098] figure 2 A schematic structural diagram of an apparatus for constructing a click-through rate prediction model provided in Embodiment 2 of the present invention, and the apparatus for constructing a click-through rate prediction model may specifically include the following modules:

[0099] The acquisition module 201 is used to acquire the behavior data of the user playing the sound in the set historical time period, the text data of the played sound, the click rate of the exposed tag, and the basic attribute data of the user and the basic attribute data of the tag; the text data includes Sound unique identification, anchor unique identification, label;

[0100] Session data generation module 202, for generating playing session data based on behavior data and text data;

[0101] The label extraction module 203 is used to perform label extraction on the text data to obtain labels;

[0102] The first vector representation generation module 204 is used to input the voic...

Embodiment 3

[0114] image 3 This is a schematic structural diagram of a computer device according to Embodiment 3 of the present invention. image 3 A block diagram of an exemplary computer device 12 suitable for use in implementing embodiments of the present invention is shown. image 3 The computer device 12 shown is only an example, and should not impose any limitations on the functionality and scope of use of the embodiments of the present invention.

[0115] like image 3 As shown, computer device 12 takes the form of a general-purpose computing device. Components of computer device 12 may include, but are not limited to, one or more processors or processing units 16 , system memory 28 , and a bus 18 connecting various system components including system memory 28 and processing unit 16 .

[0116] Bus 18 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, a graphics acceleration port, a processor, or a local bus ...

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Abstract

The invention relates to a click rate prediction model construction method and device, computer equipment and a storage medium. The method comprises the following steps: generating playing session data based on behavior data of a user playing sound and text data of a played sound; determining a vector representation of the user according to a vector representation of a sound unique identifier for playing the session data, a first weight corresponding to the sound unique identifier, a vector representation of an anchor unique identifier for playing the session data and a second weight corresponding to the anchor unique identifier; and inputting the user basic attribute data, the statistical information of the user, the statistical information of the tag, the vector representation of the user and the vector representation of the tag as training data into the initial prediction model, and optimizing the initial prediction model according to a loss function to obtain a click rate prediction model. The click rate prediction model does not need to consume a large amount of storage space.

Description

technical field [0001] The present application relates to the field of computer technology, and in particular, to a method, apparatus, computer device, and storage medium for constructing a click-through rate prediction model. Background technique [0002] Machine learning is a multidisciplinary interdisciplinary major, covering knowledge of probability theory, statistics, approximate theory and complex algorithms. It uses computers as tools and is committed to simulating real-time human learning methods, and transforms existing content into knowledge structures. Division to effectively improve the learning efficiency. [0003] Click-through rate prediction is an application branch of machine learning, where the click-through rate of a sound refers to the ratio of the number of times the current sound is clicked by the user and the number of times the sound is exposed to the user. The click rate of the sound can reflect the user's preference for the sound and the rationalit...

Claims

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Application Information

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IPC IPC(8): G06F16/68G06F16/635G06N3/04G06N3/08
CPCG06F16/686G06F16/637G06N3/08G06N3/045
Inventor 谭又伟丁宁
Owner GUANGZHOU LIZHI NETWORK TECH CO LTD
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