Enhancing the relativity between Content, Title and Meta Tags Based on Term Frequency in Lexical and Semantic Aspects

Mohammad Farahmand

Abstract


the search engine ranking is one of the most important areas, which the researchers are involved with it. To increase the traffic on websites, Search Engine Optimization (SEO) provides many options, however this process is costly and time consuming. This paper describes work on an initial model for handling some of the SEO factors to increase the Term Frequency (TF). The proposed model shows evidence of gaining the greater utilization of the aforementioned parts. In addition, the model provides users with the words and their values based on lexical and semantic approaches to provide a new title, keywords, or description in order to increase the frequency of the keywords, which are used in Meta tags and title as well. The results show the significant enhancement of the proposed model on TF as it is one of the most important factors in search engine ranking algorithm.


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