Ontology-based fuzzy evaluation search engine advertisement optimization method

Abstract

The invention belongs to the field of data processing, and particularly relates to an ontology-based fuzzy evaluation search engine advertisement optimization method, which comprises the following steps: S1, constructing a search engine advertisement semantic model of an ontology, describing search engine advertisement field knowledge on a semantic level, reusing and integrating an existing ontology model, and realizing information exchange and sharing; and S2, based on a multi-attribute entropy weight fuzzy comprehensive evaluation algorithm, calculating attribute weights by using informationentropy, constructing a membership matrix by using a triangular fuzzy number, constructing a multi-attribute comment evaluation coordinate system according to an optimization target and an optimization rule, and performing calculation through a fuzzy operator to obtain a final optimization subset. By means of the technology, early-stage work (rough optimization) of search engine advertisement optimization can be automatically achieved, and further deep optimization is completed to a certain extent, and the labor cost is effectively saved for enterprises, and the investment return rate of search engine popularization is increased.

Description

Technical field [0001] The invention belongs to the field of data processing, and specifically is a fuzzy evaluation search engine advertisement optimization method based on ontology. Background technique [0002] The Internet is having a profound impact on modern business models. With the continuous increase of online users, online advertising is becoming more and more important for companies to promote their products and services. Search engine promotion is currently the most effective Internet advertising channel, because users often have clear needs and information retrieval purposes when searching. Compared with traditional advertising media, search engine advertising has the characteristics of strong pertinence, low cost, high flexibility, and easy publishing. In the entire search engine advertising process, advertisers mainly focus on three aspects: ①creating advertisements ②monitoring data ③optimizing advertisements. In order to make advertising more effective, Search ...

AI Technical Summary

Problems solved by technology

[0004] 1) The manual analysis process often relies on domain experience and is highly subjective

[0005] 2) The optimization goal usually involves multiple advertising attributes, and it is difficult for manual optimization to make an accurate comprehensive evaluation of many attributes with complex correlations

[0006] 3) It is difficult to establish an accurate mapping relationship between vaguely described optimization rules and numerically described advertising attributes, which further increases the difficulty of positioning optimization subsets

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