Feature-based preprocessing and recommendation method

A recommendation method and preprocessing technology, applied in the field of big data, can solve problems such as huge differences in proportions and affect the accuracy of recommendation models, and achieve the effects of reducing negative effects, model stability, and high reliability

Inactive Publication Date: 2019-08-23
上海趣蕴网络科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, the proportion of articles with a single-digit PV value and articles with a PV of millions varies greatly, which affects the accuracy of the recommendation model
Existing preprocessing methods cannot solve such problems well

Method used

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  • Feature-based preprocessing and recommendation method
  • Feature-based preprocessing and recommendation method
  • Feature-based preprocessing and recommendation method

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Embodiment Construction

[0026] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0027] In the following detailed description, reference is made to the accompanying drawings which are included in the specification and which illustrate specific embodiments of the application and which are included in this application. In the drawings, like reference numerals describe substantially similar components in different views. Va...

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Abstract

The invention relates to a feature-based preprocessing and recommending method. The feature-based preprocessing method comprises the steps of dividing feature data to be preprocessed into a pluralityof sub-buckets according to distribution of objects; obtaining a plurality of mean values of to-be-preprocessed feature data in the plurality of sub-buckets; obtaining a plurality of logarithms of theplurality of mean values; and performing normalization processing on the plurality of logarithms. According to the bucket mean logarithm standardization method, the model can be more stable, the reliability is higher, and the negative influence of abnormal distribution in the data is reduced.

Description

technical field [0001] The present invention relates to the technical field of big data, in particular to a data preprocessing method and system. Background technique [0002] Contemporary society is facing the fourth technological revolution. As representatives of the fourth technological revolution, the Internet of Things, big data technology and artificial intelligence have attracted the most attention. Whether it is the Internet of Things, big data technology, or artificial intelligence, they are all inseparable from data processing. Because different data have different dimensions, it is not convenient to compare and process each other, so it is necessary to preprocess the data with large changes in size, unit and range. For example, normalization (also called normalization or standardization) is the most common type of data preprocessing. [0003] Taking multivariate analysis as an example, for example, the PV value of an article's page views usually ranges from ten...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/18
CPCG06F17/18
Inventor 黎海斌乔方正
Owner 上海趣蕴网络科技有限公司
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