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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Embodiment 1
[0114] image 3 It is a flowchart of the first embodiment of the present invention, such as image 3 As shown, the first embodiment of the present invention includes the following steps:
[0115] Step 301: the running APP transmits the user's real-time exercise state 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 includes: the user's current position, speed, acceleration, and the like. For example, the running APP can locate the user's current location through the GPS in the mobile terminal, and transmit the current location to the server. For example, the running APP can call the sensor data in the mobile terminal during operation (for example, use the acceleration sensor to obtain Acceleration) to determine the acceleration of the user's current running, and transmit the acceleration to the server...
Embodiment 2
[0121] In the embodiment of the present invention, on the basis of using real-time motion data, the server can also perform further screening according to the user's historical motion trajectory, specifically including:
[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 present invention includes the following steps:
[0123] Step 401: the server can estimate the possible trajectory of the user according to the user's historical information;
[0124] Step 402: Determine users whose trajectories are highly fitting to the user's possible trajectories as recommended users.
[0125] Among them, the user's historical information may include the user's starting position, ending position, starting time, ending time, running track, running duration and other information left on the electronic map during a complete exercise. In order to facilitate the determination of the user's possible tr...
Embodiment 3
[0135] In the method for recommending moving objects and moving data in the embodiment of the present invention, the object to be recommended can intuitively display recommended friends on the application APP of the mobile terminal. Specifically,
[0136] The user can pre-upload the requirements or purposes of the friend recommendation expected during the running process to the server; in this way, the server can use different filters when determining the recommended user, for example, determine the people around the user through the location filter, Use the exercise status filter to identify people whose exercise status is similar to the user's, use the route filter to identify people whose route is 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 addit...
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