User portrait establishing method and system based on big data

A big data and portrait technology, applied in the field of building user portraits based on big data, can solve the problems of label accuracy, labor-intensive, and preference differences, and achieve the goal of improving accuracy, precise construction, and good promotion and application value Effect

Inactive Publication Date: 2018-10-09
INSPUR SOFTWARE CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the existing technology, user portraits are more of a manual intervention tagging method, which consumes a lot of manpower, and the main preferences of the tagged and the tagged are very different, and the accuracy of the tags is worrying.

Method used

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Examples

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Embodiment

[0050] The method for establishing a user portrait based on big data of the present invention includes the following steps:

[0051] S1: Build a user portrait label system

[0052] Normalize user data to an effective label system, and labels are divided into structured and unstructured. Structural tags have a clear hierarchical relationship between parent and child classification, and the tags are regular and can be presented as a tree or forest. According to the actual situation, it is subdivided into user attribute tags, short-term interest tags and long-term interest tags. User attribute tags include user name, gender, height, etc., and the weight will be higher at the algorithm layer. Short-term interest tags include such as browsing the information of the product bed, you can never pay attention to it after buying it, and the weight of the algorithm model layer will quickly decay according to time changes. Long-term interest tags include such as entertainment programs-...

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Abstract

The invention discloses a user portrait establishing method and system based on big data, which belongs to the technical field of big data application. The user portrait establishing method based on big data comprises the steps of S1 user portrait label system constructing, S2 data preprocessing; S3 automatic sample annotating, S4 user data sampling sample imbalance processing, S5 feature engineering, S6 model training through combination of a multi-classification model and a dichotomy model and S7 model optimization. The user portrait establishing method and system based on big data can improve the accuracy of a user portrait, can construct a personalized intelligent recommendation system to realize precise marketing and precise advertising, and has good promotion and application values.

Description

technical field [0001] The invention relates to the technical field of big data applications, and specifically provides a method and system for establishing user portraits based on big data. Background technique [0002] With the advent of the era of big data, more and more user data are integrated, and the amount of information is increasing. How to effectively use the accumulated data to obtain more accurate and valuable data information, and obtain valuable data information Presenting through effective tagged display methods to establish accurate user portraits is a problem facing the field of big data. In the existing technology, user portraits are more of a manual intervention tagging method, which consumes a lot of manpower, and the main preferences of the tagged and the tagged are very different, and the accuracy of the tag is worrying. Contents of the invention [0003] The technical task of the present invention is to address the above existing problems and provi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02G06N99/00
CPCG06Q30/0201G06Q30/0257
Inventor 张铁舰付安龙
Owner INSPUR SOFTWARE CO LTD
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