System and method for recommending vehicle models

A recommendation system and recommendation method technology, applied in the network field, can solve problems such as waste of time and energy of users, and no way to start, and achieve the effect of good pertinence and reliable recommendation results

Inactive Publication Date: 2017-01-04
北京好车轰轰电子商务有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The main problem to be solved by this application is to provide a car model recommendation system and method to solve the technical problem that people often have no way to start or check blindly in the face of numerous vehicle resources on the network, thus causing waste of time and energy for users

Method used

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  • System and method for recommending vehicle models
  • System and method for recommending vehicle models
  • System and method for recommending vehicle models

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Experimental program
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Embodiment 1

[0025] This embodiment provides a car model recommendation system, such as figure 1 As shown, it is characterized in that it includes: a user classification unit 100, a user preference analysis unit 200, a user browsing record summary unit 300 and a vehicle model recommendation unit 400;

[0026] Wherein, the user classification unit 100 is used to classify registered users from multiple dimensions, and record the number of people under each user category, and pass the result to the user browsing record summary unit 300 and the model recommendation unit 400;

[0027] The user preference analysis processing unit 200 is used to record the vehicles corresponding to each browsing record of each user in different dimensions, and then analyze and obtain user preference data, that is, the number of browsing times of various types under different dimensions accounts for the total number of browsing times , and transmit the user preference data to the car model recommendation unit 400;...

Embodiment 2

[0035] Based on Embodiment 1, this embodiment provides a vehicle model recommendation method, such as Figure 1 to Figure 6 As shown, it is characterized in that, comprising the following steps:

[0036] Step 1, the user classification unit 100 classifies the registered users from multiple dimensions, and records the number of people under each user category, and passes the result to the user browsing record summary unit 300 and the model recommendation unit 400;

[0037] Step 2, the user preference analysis processing unit 200 records the vehicles corresponding to each browsing record of each user in different dimensions, and then analyzes and obtains user preference data, that is, the number of browsing times of various types under different dimensions accounts for the total number of browsing The percentage of the number of times, and the reported user preference data is passed to the car model recommendation unit 400;

[0038] Step 3, the user browsing record summary unit...

Embodiment 3

[0058] This embodiment is the application of Embodiment 1 and Embodiment 2 in practice, combined with Figure 1 to Figure 6 Be explained.

[0059] At a given time, the number of registered users is 80,000,

[0060] First, the user information extraction module 101 extracts the user's registration information from the server (registration information includes but not limited to the user's region, age, gender, occupation and annual income, etc.), and passes it to the user information analysis module 102, and the user information analysis Module 102 is used to classify users from the two dimensions of region and age group based on the registration information of users. The user classification results are as follows: Beijing has 20,000 people under 30 years old; Beijing has 20,000 people over 30 years old; Shanghai has 30 people. There are 20,000 people under the age of 20,000; in Shanghai, there are 20,000 people over the age of 30. And deliver the user classification result to...

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Abstract

The application discloses a system and method for recommending vehicle models. The system includes: a user classification unit, a user preference analysis unit, a user browsing record summery unit and a vehicle model recommendation unit. The method comprises the following steps: the user classification unit classifying registered users from multiple dimensions, and recording the number of users under each user class; the user preference analysis unit analyzing each browsing record of every user to obtain preference data of users; the user browsing record summery unit summarizing and analyzing user browsing records under each user class; the vehicle model recommendation unit, based on the user class which a current user belongs to and the preference data of the current user, calculating the recommendation score of all vehicles that are browsed by the users under the user class where the current user belongs, and recommending the vehicles that have higher recommendation scores to the current user. The system and the method make better pertinence and higher accuracy.

Description

technical field [0001] The invention relates to the field of network technology, in particular to a vehicle model recommendation system and method. Background technique [0002] With the development of society, people's demand for vehicles is getting higher and higher, so the purchase of cars has become a common consumption behavior. With the development of network technology, people's consumption gradually tends to electronic consumption, that is, consumption on the Internet. Therefore, it is unavoidable that the online consumption of automobiles is also a trend, especially in terms of network resources, it is not limited by the size of the site, and through browsing the Internet, you can quickly learn more about vehicles, including new cars and second-hand cars. . [0003] However, in the face of numerous vehicle resources on the Internet, people often have no way to start or check blindly, thus causing a waste of time and energy for users. Therefore, how to develop a v...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/06
CPCG06Q30/0631
Inventor 郑俊玲田英朝吴开亮高沨李彬
Owner 北京好车轰轰电子商务有限公司
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