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Offline service recommendation method and device, storage medium and computer equipment

A service recommendation and computer program technology, applied in the field of offline scene service recommendation application, can solve the problems of poor potential demand insight and incapable service recommendation, and achieve the effect of accurate objective demand and potential demand, and good offline recommendation service

Pending Publication Date: 2019-11-19
SHENZHEN SHUWEI MEDIA TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Embodiments of the present invention provide an offline service recommendation method and device, storage media, and computer equipment to solve the problem of poor insight into the offline objective needs and potential needs of users in the prior art, and the inability to timely provide information based on the location of the user. The problem of targeted service recommendation in real scenarios

Method used

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  • Offline service recommendation method and device, storage medium and computer equipment
  • Offline service recommendation method and device, storage medium and computer equipment
  • Offline service recommendation method and device, storage medium and computer equipment

Examples

Experimental program
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Embodiment 1

[0024] see figure 1 , figure 1 It is an implementation flowchart of the offline service recommendation method in the embodiment of the present invention. refer to figure 1 It can be obtained that the offline service recommendation method of the present invention includes the following steps:

[0025] Step S101: Obtain user portrait data, first scene data corresponding to the user's current location, and second scene data corresponding to the user's historically visited locations, respectively. Wherein, the scene corresponding to the first scene data is associated with the scene corresponding to the second scene data, that is, the obtained scene corresponding to the second scene data is similar to the scene corresponding to the first scene data or even The same, in order to make an accurate judgment on the user's scene preference.

[0026] In this step, the user portrait data includes information such as the user's gender, age group, educational background, spending power, ...

Embodiment 2

[0050] see figure 2 , figure 2 It is a partial structural frame diagram of the offline service recommending device according to the embodiment of the present invention. refer to figure 1 It can be obtained that the offline service recommendation device 100 of the present invention includes:

[0051] The acquiring module 110 is configured to respectively acquire user portrait data, first scene data corresponding to the user's current location, and second scene data corresponding to the user's historically visited location, wherein the scene corresponding to the first scene data is the same as the second scene data. The scenes corresponding to the two scene data are associated.

[0052] The processing module 120 is configured to input the user portrait data, the first scene data and the second scene data into a preset prediction model for processing.

[0053] The sending module 130 is configured to obtain the forecast data that reflects the user's potential service demand ...

Embodiment 3

[0056] see image 3 ,refer to image 3 It can be seen that a storage medium 10 in the embodiment of the present invention, the storage medium 10, such as: ROM / RAM, magnetic disk, optical disk, etc., has a computer program 11 stored thereon, and when the computer program 11 is executed Realize the offline service recommendation method as described in the first embodiment. Since the offline service recommendation method has been described in detail in Embodiment 1, the description will not be repeated here.

[0057] The offline service recommendation method implemented in the embodiment of the present invention is processed by inputting the user portrait data, the first scene data corresponding to the user's current location, and the second scene data corresponding to the user's historical visited location into a preset prediction model, Obtain the forecast data that reflects the user's potential service demand items output after being processed by the forecast model, and send...

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Abstract

The invention discloses an offline service recommendation method, an offline service recommendation device, a storage medium and computer equipment. The offline service recommendation method comprisesthe steps of obtaining user portrait data, first scene data corresponding to a current position of a user and second scene data corresponding to a historical visited position of the user, wherein a scene corresponding to the first scene data is associated with a scene corresponding to the second scene data; inputting the user portrait data, the first scene data and the second scene data into a preset prediction model for processing; and obtaining prediction data which is output after being processed by the prediction model and reflects the potential service demand items of the user, and sending the prediction data to a client. According to the invention, the problems in the prior art that the offline objective demand insight of the user is poor, and the targeted service recommendation cannot be carried out in time according to the real scene where the user is located are solved.

Description

technical field [0001] The present invention relates to the field of offline scene service recommendation application technology, in particular to an offline service recommendation method and device, storage medium and computer equipment. Background technique [0002] Scenario recommendation is based on mining, tracking and analysis of user data, in a specific scenario composed of time, place, user and relationship, connects the user's online and offline behavior, understands and judges the user's emotion, attitude and demand, Provide users with real-time, directional, and creative information and content services. Through interactive communication with users, establish a brand image or increase conversion rates to achieve accurate recommendation behaviors. At present, the demographic dividend of the Internet is gradually disappearing, and the cost of online traffic is gradually rising. At the same time, users have begun to go offline, and the trend of offline marketing val...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9535
CPCG06F16/9535
Inventor 黄兴鲁
Owner SHENZHEN SHUWEI MEDIA TECH CO LTD