Prediction method and device for car purchase ability
A prediction method and capability technology, applied in neural learning methods, design optimization/simulation, biological neural network models, etc., can solve problems such as low accuracy of prediction results and concentration of prediction result categories, so as to improve prediction accuracy and reduce The effect of manpower and time costs
Active Publication Date: 2020-05-15
北京车慧科技有限公司
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Problems solved by technology
Existing predictions of users’ ability to purchase cars are mainly done manually based on predetermined prediction rules. However, for massive browsing logs on car purchase websites, manual predictions are subject to arbitrariness, which will cause the prediction results to be too concentrated and accurate. low sex problem
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[0066] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.
[0067]Those skilled in the art will understand that unless otherwise stated, the singular forms "a", "an", "said" and "the" used herein may also include plural forms. It should be further understood that the word "comprising" used in the description of the present invention refers to the presence of said features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, Integers, steps, operations, elements, components, and / or groups thereof. It will be underst...
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The present invention provides a car purchase ability prediction method and prediction device. The prediction method includes the following steps that: original training feature data are constructed based on user car purchase information data and user car purchase behavior data; filtering processing is performed on the original training feature data through a preset filtering rule, so that training feature data can be obtained; a prediction model is constructed according to the training feature data; and the car purchase feature data of a user to be predicted are predicted according to the prediction model. According to the car purchase ability prediction method and prediction device of the invention, the car purchase feature data which reflect a car purchase ability are automatically graded through the prediction model; the automatic prediction of the car purchase ability of the user can be realized; manpower and time cost involved in a prediction process is greatly reduced; and the accuracy of the prediction of the car purchase feature data which reflect the car purchase ability can be improved.
Description
technical field [0001] The present invention relates to the field of data mining, in particular, the present invention relates to a method and device for predicting car purchasing ability. Background technique [0002] Recently, my country's auto sales are growing slowly. Faced with the slow growth of my country's auto market as a whole, the competition in my country's auto sales industry is also intensifying. In such a fierce market competition environment, how to accurately formulate auto marketing plans has become a key issue for improving industry competitiveness. key. [0003] At present, the number of browsing logs of my country's car-buying websites is very large. These browsing logs record the user's access behavior data to the car-buying website. Users are identified by predicting their ability to purchase a car. Existing predictions of users’ ability to purchase cars are mainly done manually based on predetermined prediction rules. However, for massive browsing log...
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IPC IPC(8): G06F30/27G06N3/08
Inventor 贾东
Owner 北京车慧科技有限公司