Method and device for information recommendation

An information recommendation and recommendation list technology, applied in the Internet field, can solve problems such as inability to feed back information to users, waste of resources, and meaningless recommendation list calculation process, and achieve the effect of saving computing resources and reducing the number of users

Active Publication Date: 2018-09-21
HUAWEI TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The existing technology generates recommendation lists for all historical active users, but in fact not all historical active users will use the recommendation list. Therefore, there is a part of the calculation process of the recommendation list that is meaningless in the prior art recommendation system, resulting in resources. Waste, and because the number of historically active users in the existing technology is relatively large, the cycle of generating the recommendation list is relatively long, so the latest information cannot be fed back to the user in time

Method used

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  • Method and device for information recommendation
  • Method and device for information recommendation

Examples

Experimental program
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Effect test

Embodiment 1

[0030] An embodiment of the present invention provides a method for information recommendation, such as figure 1 A schematic flow diagram of the method is shown, including:

[0031] S101. The information recommendation device acquires a first prediction result at a first time.

[0032] Wherein, the first prediction result includes the predicted user equipments that will use the recommendation list within the second time to the third time, the first time is earlier than the second time, and the second time is earlier than the third time.

[0033] Specifically, the first time is the time when the user equipment that will use the recommendation list starts to calculate the recommendation list from the second time to the third time, and since the calculation of the recommendation list requires a certain period of time, the first time is earlier than the second time Second time, to ensure that the calculation process of the recommendation list is completed before the second time. ...

Embodiment 2

[0044] An embodiment of the present invention provides a method for information recommendation, such as figure 2 A schematic flow diagram of the method is shown, including:

[0045] S201. Obtain a second prediction result.

[0046] Wherein, the second prediction result includes the predicted user equipment that will use the recommendation list within a preset time period and the use time, the preset time period is the cycle for obtaining the second prediction result, and the use time is the time when the recommendation list will be used The time when the user equipment uses the recommendation list within the preset time period, the first time, the second time and the third time are within the preset time period.

[0047] Specifically, the preset time period includes the first time, the second time and the third time. The second prediction result includes predicted user equipments that use the recommendation list at various times within the preset time period, that is, the s...

Embodiment 3

[0128] An embodiment of the present invention provides an information recommendation device, such as Figure 4 Shown is a schematic structural diagram of the device, including:

[0129] The first obtaining module 10 is configured to obtain a first prediction result at a first time, wherein the first prediction result includes predicted user equipment that will use the recommended list between the second time and the third time, and the first time is earlier than the second time, and the second time is earlier than the third time.

[0130] The generation module 11 is configured to, according to the first prediction result, generate a recommendation list for the predicted user equipment that will use the recommendation list within the second time to the third time.

[0131] Such as Figure 5 As shown, the device also includes:

[0132] The second obtaining module 12 is configured to obtain a second prediction result before obtaining the first prediction result at the first ti...

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Abstract

The embodiment of the invention provides an information recommendation method and device and relates to the technical field of Internet. By means of the information recommendation method and device, user equipment using a recommendation list can be predicted, the recommendation list of the predicted user equipment using the recommendation list can be updated, the number of users needing to update the recommendation list is reduced, computing resources are saved, and the recommendation list can be updated in time for the user equipment which will use the recommendation list. The method comprises the steps that a first prediction result is obtained at first time, wherein the first prediction result comprises the predicted user equipment which will use the recommendation list at second time and third time, the first time is earlier than the second time, and the second time is earlier than the third time; according to the first prediction result, the recommendation list is generated for the predicted user equipment which will use the recommendation list at the second time and the third time.

Description

technical field [0001] The invention relates to the technical field of the Internet, in particular to an information recommendation method and device. Background technique [0002] The rapid development of Internet technology has met the needs of users for information, but with the substantial growth of information, it is difficult for users to quickly obtain useful information from it. The emergence of the recommendation system solves this problem. The recommendation system can recommend the information that the user is interested in to the user according to the user's needs and interests. [0003] Traditional recommendation systems generate recommendation lists for users based on user characteristics and information characteristics. Traditional recommendation systems generate recommendation lists for users generally during the period of time when users use the recommendation lists less, that is, when the server is idle, large data calculations are performed to generate re...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30
CPCG06F16/954
Inventor 李正兵汪芳山翟志源
Owner HUAWEI TECH CO LTD
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