Method and device for sorting recommended objects
A sorting method and object technology, applied in the communication field, can solve the problems of no distinction, lower user experience, purchase conversion rate, etc., and achieve the effect of improving user experience
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Embodiment 1
[0075] figure 1 It is a flowchart of a method for sorting recommended objects according to Embodiment 1 of the method of the present invention. see figure 1 , in this embodiment, the method includes:
[0076] S11: Identify the location information of the user.
[0077] In this embodiment, the location information may be, for example, poi (Point of Information, navigation map information). Each piece of navigation map information includes: longitude, latitude, and nearby merchants.
[0078] S12: Obtain a recommended object corresponding to the location information.
[0079] S13: Determine the ranking of the recommended object based on the correlation between the recommended object and the user.
[0080] Since the present invention obtains the corresponding recommended object according to the user's location information, and determines the ranking of the recommended object based on the correlation between the recommended object and the user, the present invention can be bas...
Embodiment 2
[0082] figure 2 It is a flowchart of a method for sorting recommended objects according to Embodiment 2 of the method of the present invention. see figure 2 , in this embodiment, the method includes:
[0083] S21: Identify the location information of the user.
[0084] S22: Obtain a recommended object corresponding to the location information.
[0085] S23: Calculate the recommendation score of the recommended object based on the correlation between the recommended object and the user.
[0086] S24: Determine the ranking of the recommended object according to the recommendation score.
Embodiment 3
[0088] image 3 It is a flowchart of a method for sorting recommended objects according to Embodiment 3 of the method of the present invention. see image 3 , in this embodiment, the method includes:
[0089] S31: Identify the location information of the user.
[0090] S32: Obtain a recommended object corresponding to the location information.
[0091] S33: Obtain an object vector of the recommended object and a user vector of the user.
[0092] S34: Calculate the similarity between the object vector and the user vector.
[0093] S35: Assign the similarity to a recommendation score of the recommended object.
[0094] S36: Determine the ranking of the recommended object according to the recommendation score.
[0095] Wherein, the above-mentioned object vector and user vector are vector space models used to describe the recommended object and user respectively. The recommended object and user are abstracted into a vector space model, and the correlation between two object...
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