SEM (Search Engine Marketing) putting data classification system and classification method thereof

Abstract

The invention discloses an SEM (Search Engine Marketing) putting data classification system. The system comprises a database module, a data putting simulation module, a feature extraction module, a feature processing module, a classification module and a marking module, wherein the database module is used for storing putting data information; the data putting simulation module is used for simulating a data putting process and collecting putting feedback information; the feature extraction module is used for performing feature extraction in the collected feedback information; the feature processing module is used for performing association processing on extracted features; the classification module is used for classifying data according to the processed features; and the marking module is used for marking the classified data and establishing a classification mapping relation. With the SEM putting data classification system, the defect in the prior art can be overcome, and the accuracy rate and speed of data classification are improved.

Description

technical field [0001] The invention relates to the technical field of SEM delivery analysis, in particular to a SEM delivery data classification system and a classification method thereof. Background technique [0002] Search engine refers to an information query system based on the Internet, including information access, information management and information retrieval. Search engine marketing is based on the way consumers use search engines, through a whole set of technology and strategy systems, and uses the opportunity of users to retrieve information to deliver marketing information to the target group as much as possible. Search engine marketing (SEM), as a network marketing model, aims to promote the website, increase popularity, obtain better sales or promotion channels through the results returned by the search engine, and play an important role in shaping the network brand, website promotion, online sales and product promotion. etc. have more obvious effects. In...

AI Technical Summary

Problems solved by technology

In order to improve the effect of SEM delivery information, it is necessary to classify the delivery data. The existing SEM delivery data classification system is to directly compare a certain (or multiple) characteristics of the data, and then classify. This classification method not only calculates The amount of data is large, and the correlation between different features of the data cannot be mined, resulting in low classification accuracy

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