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Shared office intelligent recommendation method, server, equipment and system

A recommendation method and server technology, applied in the direction of instruments, complex mathematical operations, electrical digital data processing, etc., can solve problems such as unproposed solutions and lack of user experience improvement, so as to improve user experience, calculate similar degree of accuracy, and increase accuracy degree of effect

Pending Publication Date: 2021-02-23
广州腾新科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In view of the lack of user experience improvement in the prior art when booking shared workstations, no effective solution has yet been proposed

Method used

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  • Shared office intelligent recommendation method, server, equipment and system
  • Shared office intelligent recommendation method, server, equipment and system
  • Shared office intelligent recommendation method, server, equipment and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0040] Such as figure 1 As shown, according to an aspect of an embodiment of the present invention, a shared office intelligent recommendation method is provided, the method comprising:

[0041] S110: Receive a request for a reserved shared work station sent by the user terminal;

[0042] S120: Predict the probability that the shared workstation is selected by the user;

[0043] S130: Send the shared workstation with a high probability of being selected to the user terminal, so that the user terminal displays the recommended workstation.

[0044] By predicting the probability of shared workstations being selected and recommending workstations with a high probability of being selected, users can find and book suitable shared workstations faster, reduce user time costs, and improve user experience.

[0045] Such as figure 2 As shown, in the specific implementation process, the step of predicting the probability that the shared workstation is selected by the user includes:

...

Embodiment 2

[0090] Such as Figure 7 As shown, according to an aspect of an embodiment of the present invention, a shared office intelligent recommendation method is provided, the method comprising:

[0091] S210: The user terminal generates a station application window, and the station application window is used to accept a request for a reserved shared station;

[0092] S220: The user terminal sends a request to reserve a shared workstation to the server, so that the server can calculate the recommended workstation;

[0093] S230: The user terminal receives the recommended workstation information sent by the server;

[0094] S240: The user terminal generates a workstation recommendation window, and the workstation recommendation window displays recommended workstations, other idle workstations, and unavailable workstations.

[0095] In the specific implementation process, the user terminal displays the status of all shared workstations according to the search results, and displays the...

Embodiment 3

[0100] Such as Figure 8 As shown, according to another aspect of the embodiments of the present invention, a shared office intelligent recommendation server is provided, and the server includes:

[0101] A receiving module 110, configured to receive a request for a reserved shared work station sent by a user terminal;

[0102] Finding module 120, is used for searching for recommended shared workstation;

[0103] The sending module 130 is configured to send the recommended workstation to the user terminal.

[0104] In a specific implementation process, the search module 120 includes:

[0105] Obtaining module 121, is used for obtaining shared workstation feature and calculates the degree of similarity between all shared workstations;

[0106] Calculation module 122, configured to calculate the probability that the shared workstation is selected by the target.

[0107] Specifically, the acquiring module 121 is used to acquire the shared workstation features, which include t...

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Abstract

The invention provides a shared office intelligent recommendation method. The method comprises the steps: receiving a sharing station reserving request transmitted by a user terminal; predicting the probability that the shared stations are selected by the user, including acquiring user records of all the stations selected, calculating similarity degrees among all the shared stations according to the user records, forming a station similarity degree matrix, and predicting the probability that the shared stations are selected by the user according to the calculated station similarity degree matrix in combination with historical user selection records; predicting the probability that the shared station is selected by the user; and sending the shared station with the high selected probabilityto the user terminal, so that the user terminal displays a recommended station for the user to select. The method, the server, the equipment and the system for sharing office intelligent recommendation solve the problem of lack of improvement of user experience when the sharing station is reserved in the prior art, and provide the method, the server, the equipment and the system for sharing officeintelligent recommendation, which can enable the user to find and reserve the proper sharing station more quickly, reduce user time cost and improve user experience. The system can be applied to thefields of incubator offices, office buildings implementing shared stations, enterprises and the like.

Description

technical field [0001] The present invention relates to the field of shared office, in particular to a shared office intelligent recommendation method, server, equipment and system. Background technique [0002] In the context of the sharing economy, the shared office workstation model in the office field has achieved full utilization of resources. However, the current reservation method for shared workstations is relatively simple, requiring users to spend time and effort to find a suitable free location. There is a lack of ways to improve the user experience when booking a shared desk. [0003] In view of the lack of user experience improvement in the prior art when booking shared workstations, no effective solution has been proposed yet. Contents of the invention [0004] The present invention aims to solve the above-mentioned technical problems at least to a certain extent. [0005] According to an aspect of an embodiment of the present invention, a shared office in...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9535G06F17/16G06Q30/06
CPCG06F17/16G06Q30/0645G06F16/9535
Inventor 李程董泽彦吴家隐许晓丹许丹媛
Owner 广州腾新科技有限公司
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