Personalized object recommendation method and device
A technology of recommending methods and devices, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as low efficiency, and achieve the effect of convenient and direct selection
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Embodiment 1
[0017] According to an embodiment of the present invention, a method embodiment of a personalized object recommendation method is provided. It should be noted that the steps shown in the flow chart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, Also, although a logical order is shown in the flowcharts, in some cases the steps shown or described may be performed in an order different from that shown or described herein.
[0018] figure 1 is a personalized object recommendation method according to an embodiment of the present invention, such as figure 1 As shown, the method includes the following steps:
[0019] Step S102, acquiring an object selection list, wherein the object selection list includes: multiple objects to be selected.
[0020] Specifically, when users query or analyze products or data, they need to select query or analysis objects. Therefore, they first need to obtain an object selection list...
Embodiment 2
[0047] According to an embodiment of the present invention, a product embodiment of a personalized object recommendation device is provided, figure 2 is a personalized object recommendation device according to an embodiment of the present invention, such as figure 2 As shown, the device includes an acquisition module 101 , a first sorting module 103 and a first update module 105 .
[0048] Wherein, the acquiring module 101 is configured to acquire an object selection list, wherein the object selection list includes: a plurality of objects to be selected; the first sorting module 103 is configured to sort each of the plurality of objects according to the historical use information of the plurality of objects The objects are sorted according to the number of historical selections, wherein the historical usage information includes the historical selection times of each of the multiple objects; the first update module 105 is configured to sort each of the multiple objects accord...
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