Search engine advertising optimization strategy based on Ontology and multi-attribute entropy weight fuzzy comprehensive evaluation

In the web advertising domain, faced with massive advertising data, making advertising optimization strategy has become a huge challenge. Therefore, we propose an ontology-based search engine advertising semantic model, which aims at semantic description of search engine advertising domain knowledge and reuse integration of existing product ontology model. On this basis, put forward Search Engine Optimization Strategy based on multi-attribute entropy weight fuzzy comprehensive evaluation which purpose is refuse the current artificial decision problems. In order to effectively solve the problems faced in the artificial optimization of Internet advertising.