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Car using type prediction model establishment and information providing methods and devices

A technique for predicting models and establishing methods, applied in the field of information processing, can solve problems such as poor timeliness, wrong analysis ideas, wrong conclusions, etc., and achieve the effects of solving high costs, optimizing forecasting technology, and improving accuracy

Inactive Publication Date: 2017-06-27
BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Although the above method is the mainstream method of user research, it has disadvantages such as high cost, poor timeliness, and strong subjectivity, and does not make full use of business orders, which can best reflect the actual needs of users. Wrong guidance of personnel or wrong analysis ideas lead to wrong conclusions

Method used

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  • Car using type prediction model establishment and information providing methods and devices
  • Car using type prediction model establishment and information providing methods and devices
  • Car using type prediction model establishment and information providing methods and devices

Examples

Experimental program
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no. 1 example

[0040] figure 1 It is a flow chart of a method for establishing a vehicle type prediction model provided by the first embodiment of the present invention. The method of this embodiment can be executed by a device for establishing a vehicle type prediction model, which can be implemented by means of hardware and / or software It can be implemented, and generally can be integrated into the modeling server that completes the function of building the vehicle type prediction model, and used in conjunction with the data server that stores the map search data. The modeling server and the data server can be the same server or belong to the same server cluster. It can also be different servers, which is not limited in this embodiment. The method of this embodiment specifically includes:

[0041] S101. Obtain historical car order information of at least two users.

[0042] In this embodiment, the historical car order refers to the car service that has been matched by the network car pla...

no. 2 example

[0055] Figure 2a It is a flowchart of a method for establishing a vehicle type prediction model according to the second embodiment of the present invention. This embodiment is optimized on the basis of the above embodiments. In this embodiment, the specific optimization of extracting the vehicle scene information associated with the historical user order information is as follows: according to the historical vehicle order information, obtain the identity of the vehicle object, Vehicle time, vehicle driving route, and start and end information; according to the identity of the vehicle object, vehicle time, vehicle driving route, and start and end information, call the matching API (Application Programmers Interface, application programming interface) to obtain the objective scene Information; according to the time of use of the car, determine the category of the time of use of the car; input the start and end point information into the pre-trained classifier to obtain the star...

no. 3 example

[0071] image 3 It is a flowchart of a method for establishing a vehicle type prediction model according to the second embodiment of the present invention. This embodiment is optimized on the basis of the above-mentioned embodiments. In this embodiment, it also preferably includes: determining the POI category system, wherein the POI system includes at least two POI categories; performing synonyms for each POI category, and / or lower Word expansion, generating core word sets corresponding to each POI category; determining the preposition set and postposition set corresponding to each core word set; according to the core word set, preposition set and A set of suffixes, used to train a classifier for obtaining the origin and destination POI categories; disambiguation processing is performed on the classifier.

[0072] S301. Obtain historical car order information of at least two users.

[0073] S302. According to the historical car order information, obtain the identity of the ...

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Abstract

An embodiment of the invention discloses car using type prediction model establishment and information providing methods and devices. The car using type prediction model establishment method includes the steps of obtaining history car using order information of at least two users; extracting the car using scene information associated with the history car using order information; and generating a car using type prediction model by training a set prediction model based on the car using type and the car using scene information corresponding to the history car using order information. The technical scheme in the embodiment of the invention can solve the technical problems of high cost, poor timeliness and strong subjectivity in the prediction of the car using type in the prior art, and makes full use of the history car using order information that can reflect the actual needs of using cars of the users to optimize the car using type prediction technology and improve the accuracy of pushing the car using service information of the users.

Description

technical field [0001] Embodiments of the present invention relate to information processing technology, and in particular to a method and device for establishing a vehicle type prediction model and providing information. Background technique [0002] The car business has developed to the present, and has shown a variety of product forms, such as special cars, express cars, rides, multi-person carpooling, and even daily car rentals and hourly car rentals. The increasingly rich forms of car products not only bring more choices to users, but also give us the opportunity to understand who is using each car product and in which scenarios, so that we can better optimize it. Corresponding products and services, and push better car services to the right users at the right time, so as to achieve the purpose of expanding the user scale, improving product reputation and service experience. Therefore, it is very important to distinguish the usage scenarios of various types of vehicles...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/06
CPCG06Q30/0623G06Q30/0631
Inventor 刘坤
Owner BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
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