A heuristic approach on metadata recommendation for search engine optimization

• DOI: 10.1002/cpe.5407
• Publication Date: 2019-06-20T11:45:37Z
• Authors: Sojung An; Jason J. Jung
• Keywords: Relevance; Search engine optimization

Summary This study aims to recommend metadata for building a high ranking in Search Engine Result Page (SERP) by considering Optimizations (SEO). For online marketing, it is important place their websites on the top rank result of search engines. However, on‐page techniques traditional SEO do not have logical foundation select metadata. Metadata an element prioritize when engine indexing user queries. Thereby, this proposes method recommending metadata, which consists two steps: i) combining keywords and from high‐ranked websites, ii) evaluating importance terms based semantic relevance. First, are selected with influential using frequency weight. Second, according relevance competitive learning model. We evaluated validity proposed three queries Google. Experimental results demonstrate that increases traffic website, terms,