Recommendation method, server and computer readable storage medium
A recommendation method and server technology, applied in the computer field, can solve problems such as time-consuming and energy-consuming, user loneliness, and reduced exercise enthusiasm, so as to achieve the effect of improving entertainment and good user experience
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[0113] Example one
[0114] image 3 Is a flowchart of the first embodiment of the present invention, such as image 3 As shown, the first embodiment of the embodiment of the present invention includes the following steps:
[0115] Step 301: The running APP transmits the user's real-time exercise status data to the server corresponding to the running APP;
[0116] Wherein, the real-time exercise state data may include data related to the user's current exercise state, and the data related to the user's current exercise state include: the user's current position, speed, acceleration, and the like. For example, the running APP can locate the current position of the user through the GPS in the mobile terminal and transmit the current position to the server. For example, the running APP can call the sensor data in the mobile terminal during operation (for example, use an acceleration sensor to obtain instantaneous Acceleration) to determine the acceleration of the user's current running...
Example Embodiment
[0120] Example two
[0121] In the embodiment of the present invention, on the basis of using real-time motion data, the server may further filter according to the user's historical motion trajectory, which specifically includes:
[0122] Figure 4 It is a flowchart of the second embodiment of the present invention, such as Figure 4 As shown, the second embodiment of the embodiment of the present invention includes the following steps:
[0123] Step 401: The server may estimate the user's possible trajectory route according to the user's historical information;
[0124] Step 402: Determine a user of a trajectory route with a high degree of fit to the user's possible trajectory route as a recommended user.
[0125] Among them, the user's historical information may include the starting position, ending position, starting time, ending time, running trajectory, and running duration left by the user on the electronic map during a complete exercise. In order to facilitate the determination ...
Example Embodiment
[0134] Example three
[0135] In the method for recommending sports objects and sports data in the embodiments of the present invention, the object to be recommended can intuitively display the recommended friends on the application APP of the mobile terminal. Specifically,
[0136] The user can upload to the server in advance the requirements or purpose of friend recommendation expected during the running; in this way, the server can use different filters when determining the recommended user, for example, determine the people around the user through a location filter, Use the exercise status filter to identify people with similar exercise status to the user, use the route filter to identify people similar to the user’s route, use the gender filter to identify people with the same gender as the user’s preset, and then take the intersection of the above filters to determine The final recommender, and finally only the confirmed recommender is displayed on the display. In addition, ...
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