Recommendation model training method and prediction method and device based on recommendation model

A model training and model technology, which is applied in the direction of instruments, calculations, electrical digital data processing, etc., to achieve the effect of saving workload and improving accuracy

Active Publication Date: 2019-08-13
HUAWEI TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there are many recommendation models at present, and different recommendation models have different abilities to solve problems. It is still a challenging problem to choose which recommendation model to solve the feature combination problem of current products to further improve the accuracy of personalized content recommendation. problem

Method used

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  • Recommendation model training method and prediction method and device based on recommendation model
  • Recommendation model training method and prediction method and device based on recommendation model
  • Recommendation model training method and prediction method and device based on recommendation model

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Embodiment Construction

[0075] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention.

[0076] The system architecture involved in the implementation of the present invention is first introduced. Such as figure 1 As shown, the system architecture includes a terminal 101 and a server 102 . Wherein, the terminal 101 may be a desktop computer or a mobile terminal, and the mobile terminal is, for example, a mobile phone, a tablet computer, a wearable device, a personal digital assistant (PDA), an Internet of Things device, and the like. The server 102 may be an independent physical server, or a server cluster composed of multiple physical servers. Communication between the terminal 101 and the server 102 can be realized through a network connection (wireless connection or wired connection).

[0077] see figure 2 , figure 2 is a specific structural diagram of t...

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Abstract

The invention provides a recommendation model training method and a prediction method and device based on a recommendation model, and the method comprises the steps: obtaining at least one piece of sample data, and obtaining at least one feature subset according to a feature set of each piece of sample data; determining a condition corresponding to each feature subset in the condition set according to the attribute of each feature subset; wherein the condition set comprises at least two conditions, the at least two conditions respectively indicate different attributes of the feature subsets, and the attribute of each feature subset is consistent with the attribute indicated by the condition corresponding to each feature subset; and training a recommendation model corresponding to a condition corresponding to each feature subset in the model set by using each feature subset and the tag corresponding to each feature subset. By implementing the embodiment of the invention, a better recommendation model can be trained, and the prediction accuracy of the recommendation content is improved.

Description

technical field [0001] The present invention relates to the technical field of content recommendation, in particular to a recommendation model training method, a prediction method and a device based on a recommendation model. Background technique [0002] With the development of Internet technology and the rapid growth of information, how to quickly and effectively screen information so as to accurately recommend personalized content suitable for users (such as commodities, advertisements, news, APP, etc.) an important research topic. In order to solve this problem, a recommendation system based on Feature Engineering came into being. The recommendation system can perform machine learning based on existing user information, and then recommend personalized content that users may be interested in. Among them, the existing user information includes user characteristics (such as gender, age, city, hobbies, etc.), product characteristics (such as product type, content, display ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9535
CPCG06F16/9535
Inventor 董振华原博文刘志容林智仁冯新华何秀强唐兴
Owner HUAWEI TECH CO LTD
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