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Real-time information recommendation method based on time geographic data of user

A technology of geographic data and real-time information, applied in digital data processing, special data processing applications, instruments, etc., can solve the problem of ignoring the time and geographical location of recommended objects

Inactive Publication Date: 2018-01-09
北京大学(天津滨海)新一代信息技术研究院
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] At present, most researches on recommendation algorithms based on collaborative filtering focus on how to use the relationship between users to improve the accuracy of recommendation. Restricted by objective factors such as preference, time and geographical location among recommended objects

Method used

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  • Real-time information recommendation method based on time geographic data of user
  • Real-time information recommendation method based on time geographic data of user
  • Real-time information recommendation method based on time geographic data of user

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Embodiment Construction

[0028] Exemplary embodiments of the present disclosure will be described in more detail below 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 may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0029] figure 1 A schematic flowchart of a first real-time information recommendation method 100 based on user's temporal geographic data according to an embodiment of the present invention is shown.

[0030] Such as figure 1 As shown, the first real-time information recommendation method 100 based on the user's temporal geographic data includes the following steps:

[0031] Step S102: Acquiring and storing the user's temporal ge...

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Abstract

The invention discloses a real-time information recommendation method based on time geographic data of a user. The method comprises the steps of obtaining and storing the time geographic data of the user in real time; according to the geographic data of the user, constructing a time-space prism of the user; and when a time-space path bundle is formed among time-space prisms of different users, performing information recommendation among the different users. The time-space constraints of the user are fully considered and can be changed with time; and accurate recommendation of real-time updating is performed in combination with a stream processing framework.

Description

technical field [0001] The invention relates to the technical fields of mobile internet, location service (Location-Based Service, LBS) and SoLoMo (Social, Local, Mobile). More specifically, the present invention relates to a real-time information recommendation method based on user's temporal geographic data. Background technique [0002] Mobile Internet is a technology that combines Internet platforms, business models, applications, etc. with mobile terminals, and has a huge user base. With the rapid development of the mobile Internet field, this combination is getting closer. Moreover, compared with the traditional Internet, the mobile Internet will generate larger and richer massive spatio-temporal behavior big data with time and location information (ie, user's time and geographic data). [0003] Utilizing spatio-temporal behavioral big data can not only study the behavioral patterns, intentions, preferences, and movement rules of urban users, and then provide locatio...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 马修军芦苇
Owner 北京大学(天津滨海)新一代信息技术研究院