Shop recommendation method and device

A recommendation method and store technology, applied in the field of information processing, can solve problems such as poor user experience, unserved dishes, and large orders in the back kitchen, so as to avoid occupying user time, avoid long waiting, and improve user experience.

Inactive Publication Date: 2019-03-15
ZHEJIANG KOUBEI NETWORK TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] This method of store recommendation does not take into account the waiting time of the user. As a result, many times, when the user arrives at the recommended store, it is in the peak period of the store and it takes a

Method used

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  • Shop recommendation method and device
  • Shop recommendation method and device

Examples

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Example Embodiment

[0051] Hereinafter, exemplary embodiments of the present disclosure will be described in more detail with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0052] figure 1 It shows a schematic flow chart of a store recommendation method according to an embodiment of the present invention. Such as figure 1 As shown, the method includes the following steps:

[0053] Step S100: Obtain user location information and travel mode information selected by the user according to shop recommendation requirements.

[0054] In this embodiment, the user can request a recommended...

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Abstract

The invention discloses a shop recommendation method and a device. The store recommendation method comprises the following steps: obtaining the location information of the user and the travel mode information selected by the user according to the store recommendation demand; At least one candidate store is selected according to user location information and travel mode information, and user arrival time for each candidate store is evaluated; For each candidate store, the service data of the candidate store is predicted according to the arrival time of the user; Store recommendation is performed according to the service data of each candidate store. Based on the scheme provided by the invention, when the user selects the recommended store for dining, the dining time of the user can be shortened, and the user can avoid waiting for a long time, especially for the user with short time, not only the user can dine in a limited time, but also the user time can be avoided to occupy too much, and the user experience is improved.

Description

technical field [0001] The present invention relates to the technical field of information processing, in particular to a store recommendation method and device. Background technique [0002] With the development of the information society, people are becoming more and more accustomed to using the Internet to find or select consumer stores. In the prior art, the signature dishes of the store are usually used as the basis for store recommendation, or store activities or coupon information is used as the basis for store recommendation. Recommendation basis, or store recommendation based on user historical browsing records or consumption records. [0003] This store recommendation method does not take into account the waiting time of the user. As a result, many times, when the user arrives at the recommended store, it is in the peak period of the store and it takes a long time to be seated. If the food is not served for a long time, it takes a long time to eat a meal, resultin...

Claims

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Application Information

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IPC IPC(8): G06F16/9537G06Q30/02
CPCG06Q30/0282
Inventor 窦方钰
Owner ZHEJIANG KOUBEI NETWORK TECH CO LTD
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