Personalized object recommendation method and device

Abstract

The invention discloses a personalized object recommendation method and device. The method includes: acquiring an object selection list, wherein the object selection list includes a plurality of to-be-selected objects; sorting each of the plurality of objects according to history use information of the plurality of objects and history selection frequency, wherein the history use information includes history selection frequency of each of the plurality of objects; and updating the object selection list according to a sorting result of sorting each of the plurality of objects according to the history selection frequency. The method solves the technical problem of low efficiency brought when a user selects objects such as a dimension index and uses a manner, of manually dragging a scrolling bar, to carry out finding or inputs a name to carry out searching in the prior art.

Description

technical field

[0001] The present invention relates to the field of computer Internet, in particular, to a method and device for recommending personalized objects. Background technique

[0002] In the existing technology, there are many kinds of query dimensions and query indicators for products or data. There may be hundreds or thousands of dimensions to choose from in the selection list for dimensions. The same is true for the selection list for indicators. Users use When selecting a list for multi-dimensional analysis or multi-indicator analysis, you need to drag the scroll bar of the selection list to view the dimensions or indicators you need. When there are too many dimensions or indicators to choose from, the user may need to drag It takes a long time to find the dimension or index you need, which is a waste of time, and in the process of dragging, you may miss the dimension or index you need, which affects the search efficiency. In addition to dragging the scroll ba...

Examples

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...

technical field

[0001] The present invention relates to the field of computer Internet, in particular, to a method and device for recommending personalized objects. Background technique

[0002] In the existing technology, there are many kinds of query dimensions and query indicators for products or data. There may be hundreds or thousands of dimensions to choose from in the selection list for dimensions. The same is true for the selection list for indicators. Users use When selecting a list for multi-dimensional analysis or multi-indicator analysis, you need to drag the scroll bar of the selection list to view the dimensions or indicators you need. When there are too many dimensions or indicators to choose from, the user may need to drag It takes a long time to find the dimension or index you need, which is a waste of time, and in the process of dragging, you may miss the dimension or index you need, which affects the search efficiency. In addition to dragging the scroll ba...

Examples

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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