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Car recommendation method and apparatus

A recommendation method and automotive technology, applied in the field of data processing, can solve problems such as high learning costs for ordinary people without background, incomplete data samples, and inability to recommend suggestions efficiently for users, so as to reduce consulting costs, avoid subjectivity, and save time cost effect

Active Publication Date: 2018-04-03
北京德塔精要信息技术有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Another problem is that due to the characteristics of personal preferences, different professionals will lead to the same user needs, and the candidate models given by different professionals are different, which cannot give users efficient recommendations.
[0004] For the second method of learning by users, although with the rapid development of the information age, the threshold for users to learn new domain knowledge has become lower and lower, but there are still certain technical barriers between different domain knowledge. The field of science and engineering is even worse. Because the automotive field involves many fields, which contains a lot of professional and technical knowledge, the learning cost of ordinary people without background is relatively high
Secondly, due to the energy and time constraints of each user, the car models that can be learned, the materials that can be learned, and the data that can be observed in 4S stores are all limited, so there will be some incomplete data samples, resulting in some high-quality The model is not shortlisted, that is, the selection made on the limited sample data sometimes ignores the high-quality models outside the sample

Method used

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  • Car recommendation method and apparatus
  • Car recommendation method and apparatus

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Embodiment Construction

[0048] The specific embodiments of the present invention will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solution of the present invention more clearly, but not to limit the protection scope of the present invention.

[0049] figure 1 It shows a schematic flowchart of a car recommendation method provided by an embodiment of the present invention, as shown in figure 1 As shown, the car recommendation method of this embodiment includes:

[0050] S101. Obtain the data of each dimension of each car model in each automobile vertical website, where the data of each dimension includes evaluation scores of each dimension.

[0051] In a specific application, crawler technology can be used to crawl various automobile vertical websites to obtain data of each dimension of each model in each automobile vertical website.

[0052]Among them, the dimensions of each model include: space, power, h...

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PUM

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Abstract

Embodiments of the invention disclose a car recommendation method and apparatus. The method comprises the steps of obtaining dimensional data of car models in car vertical websites, wherein the dimensional data comprises dimension evaluation scores; preprocessing the dimensional data to enable the evaluation scores to be distributed in a preset interval range; clustering the preprocessed dimensional data to obtain clustering clusters of different car models, wherein a clustering cluster number is determined according to dimensional information in the obtained dimensional data of the car models; obtaining dimensional information specified by a user and according to the dimensional information specified by the user, screening the obtained clustering clusters; and sorting all the car models in the clustering clusters in the selected clustering clusters, and displaying a sorting result to the user. Convenient and efficient car product recommendation can be provided for the user.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of data processing, and in particular to a car recommendation method and device. Background technique [0002] At present, there are two traditional methods for recommending car purchases. The first is the recommendation method based on professionals, which is to collect user needs, such as price, brand, model and other information, and then familiarize yourself with the car. Professionals in the market give several candidates based on personal experience. The second is the method of self-learning by users. According to their own needs, car purchase users compare and observe on various automobile vertical websites and different automobile 4S stores, and then choose the model that they think is reasonable. [0003] Since the general public knew little about cars in the past few years, the first professional-based recommendation method once became the mainstream method of obtaining a car...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06Q30/02
CPCG06F16/35G06F16/9535G06Q30/0201
Inventor 李智博董旭范成伟李宝环王凤君
Owner 北京德塔精要信息技术有限公司
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