A method and system for optimizing label data

Abstract

The invention provides a method of optimizing label data. In particular, the method comprises the following steps: firstly, obtaining user click data of a target web page; in a preset time period T, defining a plurality of index classifications according to the main content of the user click data, and setting priority for the index classifications; then, according to the preset dimension table, selecting a plurality of dimension combinations matched with the index classification, generating a plurality of dimension index relationships and constructing a dimension index relationship table; finally, sorting the multi-dimensional index relationships from high to low priority according to the priority set by the index classification, and integrating and classifying the user-clicked data and updating the user-clicked data to the back-end data warehouse according to the preset rules by using the on-line analysis processing technology. Through the method of the invention, the user data with high priority and the user data with low priority are respectively updated to the back-end data warehouse according to different rules, so that the storage pressure of the back-end data warehouse can be reduced, and the utilization efficiency of the large data can be improved at the same time.

Description

technical field [0001] The invention relates to the field of big data, in particular to a method and system for optimizing tag data. Background technique [0002] With the rapid development of the Internet, the era of big data has ushered in. After the exploration stage and the market start-up stage, big data has now entered a critical transition period from concept to practical application. Big data has matured in various aspects such as acceptance, technology, and application, and has begun to enter the stage of rapid industrial development. The huge application value of big data has driven the huge development of the big data industry. [0003] In the existing technology, user effective information is extracted from massive data and data is integrated and analyzed. However, with the advancement and development of big data in various industries, there are still many technical problems to be solved, such as how to analyze data based on existing data analysis skills and app...

AI Technical Summary

Problems solved by technology

[0003] In the existing technology, user effective information is extracted from massive data and data is integrated and analyzed. However, with the advancement and development of big data in various industries, there are still many technical problems to be solved, such as how to analyze data based on existing data analysis skills and applications. technology, effectively combined with the enterprise's own business needs to conduct intuitive and all-round data analysis on the extracted effective user information, and use its own business experience to carry out data innovation, update and optimization of the integrated and analyzed data, so as to transform into enterprise value resources

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