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Information recommendation method and device

A technology of information recommendation and information collection, applied in the field of information processing, it can solve problems such as non-optimal effect, update user's long-term profit return, and complex manual rule definition, so as to achieve the effect of optimizing recommendation results.

Pending Publication Date: 2020-10-09
BEIJING DAJIA INTERNET INFORMATION TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, the existing sorting schemes use rules to fuse and weight multiple indicators, which not only requires complex manual rule definitions, but also is a non-personalized sorting scheme, resulting in non-optimal results; or using learning sorting methods but not Unable to update user long-term revenue returns for long-term goals

Method used

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  • Information recommendation method and device
  • Information recommendation method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0079] figure 1 It is a flow chart of an information recommendation method provided in Embodiment 1 of the present disclosure. The executive body of the information recommendation method provided in this embodiment may be the information recommendation device provided in the embodiment of the present disclosure, and the device can be integrated into a mobile terminal device ( For example, in smart phones, tablet computers, etc.), notebooks or fixed terminals (desktop computers), the information recommending device can be implemented by hardware or software. Such as figure 1 shown, including the following steps:

[0080] In step S11, a recommendation request is received.

[0081] Wherein, the recommendation request may be a refresh operation on the recommendation display interface, including but not limited to a sliding operation, a pull-down operation, a click operation or a double-click operation generated on the terminal screen.

[0082] In step S12, N steps of sorting op...

Embodiment 2

[0094] figure 2 It is a flow chart of an information recommendation method provided in Embodiment 2 of the present disclosure. On the basis of the above embodiments, this embodiment further optimizes the step of sorting the candidate information in the candidate information set according to the sorting weight. Such as figure 2 shown, including the following steps:

[0095] In step S21, a recommendation request is received.

[0096] In step S22, N steps of sorting operations are performed according to the recommendation request, and for each step of sorting operations, one candidate information is selected from the candidate information set as the information to be sorted, and the status of the information to be sorted is determined; wherein, the The status includes user interest characteristics and information characteristics corresponding to recommended information.

[0097] In step S23, the sorting weight of the information to be sorted is acquired according to the stat...

Embodiment 3

[0110] image 3 It is a flow chart of an information recommendation method provided by Embodiment 3 of the present disclosure. On the basis of the above embodiments, this embodiment performs N-step sorting operations on the steps according to the recommendation request, and for each step of sorting operations, from candidate information Select a candidate information in the set as the information to be sorted, and determine the state of the information to be sorted and the step of obtaining the sorting weight of the information to be sorted according to the state is further optimized, such as image 3 shown, including the following steps:

[0111] In step S31, a recommendation request is received.

[0112] In step S32, N steps of sorting operations are performed according to the recommendation request, and for each step of sorting operations, a candidate information is selected from the candidate information set as the information to be sorted, and the information characteris...

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Abstract

The invention discloses an information recommendation method and device, electronic equipment and a computer readable storage medium, and the method comprises the steps: receiving a recommendation request; executing N steps of sorting operation according to the recommendation request, and selecting one piece of candidate information from a candidate information set as recommendation information when each step of sorting operation is executed; and pushing the selected N pieces of recommendation information as recommendation results. According to the method, N steps of sorting operation are executed according to a recommendation request, and one piece of candidate information is selected from a candidate information set to serve as recommendation information when each step of sorting operation is executed; the selected N pieces of recommendation information are used as recommendation results to be pushed, the recommendation results can be optimized, and the method can be suitable for various recommendation scenes.

Description

technical field [0001] The present disclosure relates to the technical field of information processing, and in particular to an information recommendation method, device, electronic equipment, and computer-readable storage medium. Background technique [0002] In recent years, intensive learning has achieved rapid development, and major breakthroughs have been made in the fields of games, robots, and artificial intelligence. AlphaGo even defeated the human champion. Intensive learning is known as the key to the realization of general artificial intelligence. [0003] With the popularization of mobile networks and the development of science and technology, information recommendation has been widely used. For example, when recommending short videos, it is not only necessary to pay attention to the user's click-through rate, but also to consider various indicators such as like rate, attention rate, and share rate. [0004] However, the existing sorting schemes use rules to fus...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9535
CPCG06F16/9535
Inventor 闫阳辉胥凯叶璨徐万鸿
Owner BEIJING DAJIA INTERNET INFORMATION TECH CO LTD
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