CN-122022930-A - Virtual commodity display scene generation method, electronic device, medium and program product

CN122022930ACN 122022930 ACN122022930 ACN 122022930ACN-122022930-A

Abstract

The application discloses a virtual commodity display scene generation method, electronic equipment, a medium and a program product, and relates to the technical field of electronic commerce, wherein the virtual commodity display scene generation method comprises the steps of obtaining user information of a target user, and determining the user category of the target user according to the user information, wherein the user information at least comprises purchase history, browsing records, feedback scores, activity participation information and searching habits; and combining the scene display element, the target color scheme, the element placement position, the shopping guide image and the shopping guide strategy to generate a virtual commodity display scene. The technical scheme of the application solves the problems that the attraction of a fixed commodity display scene to a user is low and commodity yield is affected.

Inventors

CHEN HONGBIN
WANG CHONGRUI
SUN HUA
ZHANG JIAN
LI JINGZHENG

Assignees

中移动金融科技有限公司
中国移动通信集团有限公司

Dates

Publication Date: 20260512
Application Date: 20241111

Claims (10)

1. A virtual commodity display scene generation method, characterized in that the virtual commodity display scene generation method comprises: Acquiring user information of a target user, and determining a user category of the target user according to the user information, wherein the user information at least comprises purchase history, browsing records, feedback scores, activity participation information and search habits; determining scene display elements, target color schemes, element placement positions, shopping guide images and shopping guide strategies according to the user categories and the user information; and combining the scene display element, the target color scheme, the element placement position, the shopping guide image and the shopping guide strategy to generate a virtual commodity display scene.
2. The virtual merchandise display scene generating method of claim 1, wherein the user category comprises at least one of loyalty type, exploration type, sensitivity type, and passive type; the step of determining the user category of the target user according to the user information comprises the following steps: Comparing purchase history, browsing records, feedback scores, activity participation information and search habits in the user information with preset evaluation standards respectively corresponding to loyalty type, exploration type, sensitivity type and passive type, and determining the user category of the target user; wherein purchase frequencies corresponding to the loyalty type, the search type, the sensitivity type, and the passive type user category are sequentially decreased.
3. The virtual commodity display scene generating method according to claim 2, wherein said step of determining scene display elements, target color schemes, element placement positions, shopping guide figures, and shopping guide policies according to said user categories and said user information comprises: Determining a scene display element according to the user category and purchase history and browsing records in the user information; determining a target color scheme according to the feedback scores and the activity participation information in the user category and the user information; Determining element placement positions according to feedback scores and search habits in the user information; and determining shopping guide images and shopping guide strategies according to the user categories, the purchase histories and the activity participation information in the user information.
4. The virtual commodity display scene generating method according to claim 3, wherein said scene display elements include at least a scene display element total number and a scene display element type; The step of determining a scene showing element according to the user category and the purchase history and browsing records in the user information comprises the following steps: acquiring user purchase frequency, the number of times of purchasing the same category of commodities in an effective purchase time period and the distribution quantity of the purchase time period from the purchase history; Determining the category, browsing time and browsing depth of the browsed commodity according to the purchase history and the browsing record; calculating the browsing depth persistence of the target user according to the commodity category, the browsing time and the browsing depth; calculating to obtain the total number of scene display elements according to the initial coefficient corresponding to the user category, the reciprocal of the purchase frequency of the user, the number of times of purchasing the same category of commodities, the distribution quantity of the purchase time period and the browsing depth persistence; and determining the scene display element type based on the user category and a mapping table between the preset user category and the scene display element type.
5. The virtual merchandise display scene generating method according to claim 3, wherein the step of determining a target color scheme according to the feedback score and the activity participation information in the user category and the user information comprises: obtaining effective scoring times, average scoring, activity participation frequency, ratio of scoring purchase times, score drop rate and score obtaining mode from the feedback scoring and the activity participation information; determining corresponding feature weights according to the user categories, wherein the feature weights corresponding to the loyal type, the exploring type, the sensitive type and the passive type user categories are sequentially reduced; calculating to obtain tone style parameters according to the characteristic weights, the average scores, the activity participation frequency and the light change rate; Calculating to obtain a tone style value according to the tone style parameter, the integral drop rate, the ratio of the score purchasing times, the base corresponding to the integral acquisition mode and the integral acquired correction value; and inquiring and obtaining a target color matching scheme corresponding to the tone style value according to the tone style value and a preset tone style value matching table, wherein the tone style value matching table is used for representing the mapping relation between the value range of the tone style value and the preset color matching scheme.
6. The virtual commodity display scene generating method according to claim 3, wherein said step of determining an element placement position according to a feedback score and a search habit in said user information comprises: Determining search frequency, post-search behavior and total behavior quantity in a preset time period after search according to the feedback scores and the search habits; obtaining a plurality of keywords corresponding to each commodity, converting each keyword into a corresponding word vector, and calculating a Euclidean distance corresponding to the word vector to obtain an X-axis coordinate of each element placement position; calculating initial Y-axis position coordinates of the element placement positions according to the serial numbers and the corresponding X-axis coordinates of the commodities; Calculating Y-axis coordinates of each element placement position based on the search frequency, the initial Y-axis position coordinates and a preset correction coefficient; determining Z-axis coordinates of the element placement positions according to the searched behaviors and a preset searched behavior and Z-axis coordinate mapping table; Calculating an element placement position optimization value according to the total behavior quantity, an initial weight coefficient of the total behavior quantity and a dependency value of the total behavior quantity and the initial weight coefficient; judging whether the total number of acts is larger than the number of browsed commodity categories of the user; if the element setting position is larger than the element setting position optimization value, respectively adding the X-axis coordinate, the Y-axis coordinate and the Z-axis coordinate of each element setting position to obtain an updated element setting position; And if the element placement position is not greater than the preset value, subtracting the element placement position optimization value from the X-axis coordinate, the Y-axis coordinate and the Z-axis coordinate of each element placement position to obtain an updated element placement position.
7. The virtual goods presentation scene generating method as claimed in claim 3, wherein the step of determining the shopping guide image and the shopping guide policy according to the purchase history and the activity participation information in the user category and the user information comprises: Determining the commodity type number in the shopping cart, the commodity type number after receiving the commodity, the time-consuming length of purchasing the commodity and the total action number of the activity participation according to the purchase history and the activity participation information; Calculating a shopping guide score according to the number of commodity types in the shopping cart, the number of commodity types after receiving the commodity, the characteristic weight of each commodity type, the reciprocal of commodity repurchase rate of each commodity, the reciprocal of the time consuming length of purchasing the commodity, the total activity participation number and the initial coefficient corresponding to the user category, wherein the characteristic weight of the commodity type is determined according to online purchase heat; And determining corresponding shopping guide images and shopping guide strategies according to the shopping guide scores and a mapping table between preset shopping guide scores and shopping guide images and shopping guide strategies.
8. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the computer program being configured to implement the steps of the virtual merchandise display scene generating method of any one of claims 1 to 7.
9. A medium, characterized in that the medium is a computer-readable storage medium, on which a computer program is stored, which computer program, when being executed by a processor, implements the steps of the virtual goods presentation scene generation method of any of claims 1 to 7.
10. A program product, characterized in that the program product is a computer program product comprising a computer program which, when being executed by a processor, implements the steps of the virtual goods presentation scene generation method of any of claims 1 to 7.

Description

Virtual commodity display scene generation method, electronic device, medium and program product Technical Field The present application relates to the field of electronic commerce technology, and in particular, to a virtual commodity display scene generating method, an electronic device, a computer readable storage medium, and a computer program product. Background Currently, in a virtual commodity display scene in the e-commerce field, an operator usually generates an initial scene in advance and performs fixed setting. For users, the visual display form of the virtual commodity display scene is relatively fixed, and the individuation degree is relatively low. Specifically, the environment, style and article placement style of the virtual commodity display scene are relatively fixed. For users, the attraction of the virtual commodity display scene is not strong, so that the possibility of ordering and bartering in the virtual commodity display scene is greatly reduced. The foregoing is provided merely for the purpose of facilitating understanding of the technical solutions of the present application and is not intended to represent an admission that the foregoing is prior art. Disclosure of Invention The application mainly aims to provide a virtual commodity display scene generation method, electronic equipment, a computer readable storage medium and a computer program product, and aims to solve the technical problems that a fixed commodity display scene has low attraction to a user and commodity yield is affected. In order to achieve the above object, the present application provides a virtual commodity display scene generating method, which includes: Acquiring user information of a target user, and determining a user category of the target user according to the user information, wherein the user information at least comprises purchase history, browsing records, feedback scores, activity participation information and search habits; determining scene display elements, target color schemes, element placement positions, shopping guide images and shopping guide strategies according to the user categories and the user information; and combining the scene display element, the target color scheme, the element placement position, the shopping guide image and the shopping guide strategy to generate a virtual commodity display scene. In one embodiment, the user categories include at least one of loyalty, exploration, sensitivity, and passive; the step of determining the user category of the target user according to the user information comprises the following steps: Comparing purchase history, browsing records, feedback scores, activity participation information and search habits in the user information with preset evaluation standards respectively corresponding to loyalty type, exploration type, sensitivity type and passive type, and determining the user category of the target user; wherein purchase frequencies corresponding to the loyalty type, the search type, the sensitivity type, and the passive type user category are sequentially decreased. In one embodiment, the step of determining the scene display element, the target color scheme, the element placement position, the shopping guide image and the shopping guide strategy according to the user category and the user information comprises the following steps: Determining a scene display element according to the user category and purchase history and browsing records in the user information; determining a target color scheme according to the feedback scores and the activity participation information in the user category and the user information; Determining element placement positions according to feedback scores and search habits in the user information; and determining shopping guide images and shopping guide strategies according to the user categories, the purchase histories and the activity participation information in the user information. In an embodiment, the scene showing elements include at least a scene showing element total number and a scene showing element type; The step of determining a scene showing element according to the user category and the purchase history and browsing records in the user information comprises the following steps: acquiring user purchase frequency, the number of times of purchasing the same category of commodities in an effective purchase time period and the distribution quantity of the purchase time period from the purchase history; Determining the category, browsing time and browsing depth of the browsed commodity according to the purchase history and the browsing record; calculating the browsing depth persistence of the target user according to the commodity category, the browsing time and the browsing depth; calculating to obtain the total number of scene display elements according to the initial coefficient corresponding to the user category, the reciprocal of the purchase frequency of the user, the number of times of p