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A personalized product recommendation method based on the integration of offline parking records and online purchase behavior

A parking record and product recommendation technology, applied in the field of data analysis

Active Publication Date: 2022-07-29
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, some smart parking systems cooperate with advertisers to push indiscriminate product advertisements when users use the system, but they fail to make full use of users' offline parking records to push personalized product advertisements for specific users.

Method used

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  • A personalized product recommendation method based on the integration of offline parking records and online purchase behavior
  • A personalized product recommendation method based on the integration of offline parking records and online purchase behavior
  • A personalized product recommendation method based on the integration of offline parking records and online purchase behavior

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Embodiment Construction

[0023] In order to better illustrate the technical solutions and advantages of the present invention, the present invention will be further described below with reference to specific embodiments. figure 1 This is a flow chart of the personalized product recommendation method integrating offline parking records and online purchase behaviors of the present invention. The method constructs user parking space-time paths based on user parking records of multiple parking lots; , calculate the space-time path similarity between any two users, and construct a user similarity matrix; then extract a group of users with the highest similarity to the target user's parking records from the user similarity matrix, and based on this group of users, the parking system Push the historical purchase behavior data of the product, calculate the preference value of the target user for the product pushed by the parking system, and perform collaborative filtering and recommendation for the target user...

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Abstract

The invention discloses a personalized commodity recommendation method integrating offline parking records and online purchase behaviors, and belongs to the technical field of data analysis. The method constructs the user's parking space-time path based on the user parking records of multiple parking lots; then calculates the space-time path similarity between any two users through the user space-time path similarity calculation model, and constructs the user similarity matrix; A group of users with the highest similarity to the target user's parking records are extracted from the user similarity matrix. Based on the historical purchase behavior data of this group of users for the products pushed by the parking system, the preference value of the target user for the products pushed by the parking system is calculated. Press The preference value is used for collaborative filtering recommendation for target users. The invention can achieve personalized product recommendation and better accuracy, not only can improve the conversion rate and the income of the smart parking system, create more data value of offline parking records, but also recommend products more in line with interests and preferences for users. .

Description

technical field [0001] The invention belongs to the technical field of data analysis, and relates to a personalized commodity recommendation method integrating offline parking records and online purchase behaviors. Background technique [0002] At present, large and medium-sized cities at home and abroad have developed and implemented city-level smart parking systems in order to alleviate the problem of parking difficulties. For example, cities such as Shanghai, Shenzhen and Chengdu in my country have completed smart parking systems covering most parking lots in urban areas ( Including the deployment and operation of smart parking APP, WeChat official account and small program), it provides a convenient way for traveling users to search for available parking spaces around the destination, pay for parking self-service and reserve parking spaces. Smart parking system refers to the comprehensive application of wireless communication technology, mobile terminal technology, GPS po...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q30/06G06Q30/02G06K9/62
CPCG06Q30/0631G06Q30/0265G06Q30/0271G06Q30/0277G06F18/22
Inventor 晏鹏宇谢皓宇于凯泽
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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