Personalized commodity recommendation method with offline parking record and online purchase behavior fused

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

Active Publication Date: 2022-05-27
UNIV OF ELECTRONIC SCI & TECH OF CHINA
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

At present, some smart parking systems cooperate with advertisers to push indiscriminate product advertisements when users use the sy

Method used

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  • Personalized commodity recommendation method with offline parking record and online purchase behavior fused
  • Personalized commodity recommendation method with offline parking record and online purchase behavior fused
  • Personalized commodity recommendation method with offline parking record and online purchase behavior fused

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[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 an offline parking record and online purchase behavior fused personalized commodity recommendation method, and belongs to the technical field of data analysis. The method comprises the following steps: constructing a user parking space-time path based on user parking records of a plurality of parking lots; calculating the space-time path similarity between any two users through a user space-time path similarity calculation model, and constructing a user similarity matrix; and then, extracting a group of users with the highest similarity with the parking record of the target user from the user similarity matrix, calculating a preference value of the target user to a commodity pushed by the parking system based on historical purchase behavior data of the group of users to the commodity pushed by the parking system, and carrying out collaborative filtering recommendation on the target user according to the preference value. According to the method, personalized commodity recommendation and better accuracy can be achieved, the conversion rate and the income of an intelligent parking system can be improved, more data values of offline parking records can be created, and commodities more conforming to interests and preferences can be recommended to 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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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 ELECTRONIC SCI & TECH OF CHINA
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