Gas station recommendation method based on multivariate optimization

A gas station, multi-variable technology, applied in structured data retrieval, instruments, calculations, etc., can solve the problems of limited recommendation effect and insufficient objectivity

Active Publication Date: 2021-05-04
八维通科技有限公司
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

Taking target recommendation as an example, the target recommendation method in the existing technology is too mechanized, and it is obviously not objective enough to recommend from a single dimension; it is more superior to make multi-faceted recommendations by setting priorities and distinguishing primary and secondary factors, but The recommendation effect obtained by mechanically distinguishing between primary and secondary, and considering problems in a discrete form is also limited, and it is impossible to comprehensively consider multiple variables in a more objective and fair manner to obtain the most scientific recommendation results

Method used

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  • Gas station recommendation method based on multivariate optimization
  • Gas station recommendation method based on multivariate optimization
  • Gas station recommendation method based on multivariate optimization

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Embodiment Construction

[0031] In order to enable those skilled in the art to better understand the solutions of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is an embodiment of a part of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0032] It should be noted that the terms "first" and "second" in the description and claims of the present invention and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate ...

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Abstract

The present invention provides a gas station recommendation method based on multivariable optimization. The method includes acquiring gas station recommendation indication information, and judging whether a gas station recommendation is required according to the gas station recommendation indication information; if a gas station recommendation is required, extracting All gas stations along the driving route constitute a gas station preparation set, each element in the gas station preparation set corresponds to a gas station, and the elements include attribute data of multiple dimensions; according to the preset method in the gas station preparation set Determine the candidate set; recommend each gas station in the candidate set to the user, and determine the target gas station according to the user's selection result. The present invention significantly improves the user's travel experience.

Description

technical field [0001] The invention relates to the field of target recommendation, in particular to a gas station recommendation method based on multivariate optimization. Background technique [0002] Smart travel has now become an inseparable modern data information service in people's daily life. Many new technologies have been derived around smart travel, such as route planning, automatic navigation, voice navigation, man-machine dialogue, automatic payment and target recommendation, etc. technology. Taking target recommendation as an example, the target recommendation method in the existing technology is too mechanized, and it is obviously not objective enough to recommend from a single dimension; it is more superior to make multi-faceted recommendations by setting priorities and distinguishing primary and secondary factors, but Mechanically distinguishing between primary and secondary, and considering problems in a discrete form, the recommendation effect obtained is...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/9537G06F16/29
CPCG06F16/29G06F16/9537
Inventor 余华琼陈刚杨宏旭刘晓宏方超邵林俊许晶晶
Owner 八维通科技有限公司
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