Commodity recommendation method and device, storage medium and electronic device
A product recommendation and product technology, applied in the computer field, can solve the problem of low accuracy of recommended products
Active Publication Date: 2021-01-29
TENCENT TECH (SHENZHEN) CO LTD
View PDF16 Cites 5 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
[0005] Embodiments of the present invention provide a product recommendation method and device, a storage medium, and an electronic device to at least solve the technical problem of low accuracy of recommended products
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0023] In order to enable those skilled in the art to better understand the solutions of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is an embodiment of a part of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.
[0024] It should be noted that the terms "first" and "second" in the description and claims of the present invention and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate ...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention discloses a commodity recommendation method and device based on artificial intelligence, a storage medium and an electronic device. The method comprises the steps of obtaining target account data of a target account in a target time period, a current probability parameter of the target account in a current time period and a first probability parameter of the target account in a firsttime period; inputting the target account data, the first probability parameter and the current probability parameter into a target neural network model, wherein the target neural network model is used for outputting an identification result, and the identification result is used for indicating the probability that the target account clicks the target commodity under the condition that the targetcommodity is pushed to the target account in the target time period; and determining to push the target commodity to the target account in the target time period or forbid pushing the target commodity to the target account in the target time period according to the identification result. According to the invention, the technical problem of low commodity recommendation accuracy is solved.
Description
technical field [0001] The present invention relates to the field of computers, in particular to a product recommendation method and device, a storage medium and an electronic device. Background technique [0002] In the prior art, in the process of determining the products to be pushed to the user, the neural network model can usually be trained using training samples, and then the user data is input into the trained neural network model, and the neural network model gives the prediction result, and the determined Whether to push items to users. [0003] However, in the above process, the training and use of the neural network model did not take into account the impact of multi-stage state transitions on the prediction results, resulting in inaccurate product recommendations. [0004] For the above problems, no effective solution has been proposed yet. Contents of the invention [0005] Embodiments of the present invention provide a product recommendation method and dev...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/06G06N3/08
CPCG06Q30/0631G06N3/08
Inventor 钟子宏
Owner TENCENT TECH (SHENZHEN) CO LTD