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Information recommendation method and device, equipment and medium

A technology of information recommendation and order information, applied in the field of data processing, can solve the problems of good products and merchants, poor recommendation accuracy, high accidental injury rate, etc.

Pending Publication Date: 2021-04-30
BEIJING ZITIAO NETWORK TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, when recommending information to users, it is generally recommended based on the current favorable rate of information, but the current favorable rate is only based on one-sided information of information or products, and the rate of false positives will be relatively high. For example, a low favorable rate does not represent The service quality of products and merchants is not good. Directly based on the positive ratings across the board, many good products and merchants will be accidentally injured, and the recommendation accuracy is poor.

Method used

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  • Information recommendation method and device, equipment and medium
  • Information recommendation method and device, equipment and medium
  • Information recommendation method and device, equipment and medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0035] figure 1 It is a schematic flow chart of an information recommendation method provided by Embodiment 1 of the present disclosure. This embodiment of the present disclosure is applicable to the situation of accurately recommending information with a high favorable rate to users. and / or in the form of hardware, optionally, by means of an electronic device, where the electronic device may be a mobile terminal, a PC, or a server. Exemplary, see figure 2 , figure 2 It is a schematic diagram of the application scenario provided by the embodiment of the present invention. Among them, mobile terminals such as computers 101 (such as notebook computers, desktop computers), mobile phones 102 and tablet computers 103 perform information transmission with electronic devices 104 such as server clusters through network communication. Among them, the mobile terminal sends an information search command to the electronic device 104 through the wireless transmission 105, and the elec...

Embodiment 2

[0063] Figure 4 It is a schematic flowchart of an information recommendation method provided in Embodiment 2 of the present disclosure. This embodiment is optimized on the basis of the foregoing embodiments, such as figure 2 As shown, the method includes:

[0064] S210. Obtain order information, and store the order information.

[0065] S220. Acquire evaluation information, determine order information matching the evaluation information from the stored order information, and form a training sample based on the evaluation information and the matching order information.

[0066] S230. Train the current information recommendation model based on the training samples to obtain an updated information recommendation model.

[0067] S240. Acquire an information search instruction, and determine candidate information corresponding to the information search instruction.

[0068] S250. Determine the favorable probability of each candidate information based on the used information r...

Embodiment 3

[0078] Figure 6 It is a schematic structural diagram of an information recommendation device provided in Embodiment 5 of the present disclosure. Such as Figure 6 As shown, the device includes: an order information storage module 310 , a training sample determination module 320 , a model training module 330 and an information recommendation model 340 . in,

[0079] An order information storage module 310, configured to acquire order information and store the order information;

[0080] The training sample determination module 320 is configured to obtain evaluation information, determine order information matching the evaluation information in the stored order information, and form a training sample based on the evaluation information and the matching order information;

[0081] A model training module 330, configured to train the current information recommendation model based on the training samples to obtain an updated information recommendation model;

[0082] An inform...

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PUM

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Abstract

The embodiment of the invention discloses an information recommendation method and device, a storage medium and electronic equipment. The method comprises the steps: obtaining order information, and storing the order information; obtaining evaluation information, determining order information matched with the evaluation information in stored order information, and forming a training sample based on the evaluation information and the matched order information; training a current information recommendation model based on the training sample to obtain an updated information recommendation model; and performing information recommendation based on any one of a previous information recommendation model, the current information recommendation model or the updated information recommendation model of the current information recommendation model. The information recommendation module determines the good review probability of each part of information, recommends the information for predicting the good review probability to the user, improves the satisfaction degree of the user for the recommended information, and avoids the problem that the information is poorly reviewed due to recommendation reasons.

Description

technical field [0001] Embodiments of the present disclosure relate to the technical field of data processing, and in particular, to an information display method, device, storage medium, and electronic equipment. Background technique [0002] E-commerce refers to commercial activities centered on commodity exchange by means of information network technology. With the development and popularization of Internet technology, e-commerce systems are playing an increasingly important role in people's lives. [0003] The positive rate of e-commerce evaluation is a core indicator of a product, which marks the user's satisfaction with the product. At present, when recommending information to users, it is generally recommended based on the current favorable rate of information, but the current favorable rate is only based on one-sided information of information or products, and the rate of false positives will be relatively high. For example, a low favorable rate does not represent T...

Claims

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Application Information

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IPC IPC(8): G06Q30/02G06Q30/06G06F16/23
CPCG06Q30/0201G06Q30/0631G06F16/2379
Inventor 刘文溢王中宇
Owner BEIJING ZITIAO NETWORK TECH CO LTD