Intelligent Supplemental Search Engine Optimization
作者： Ivan Bajic , Hadi HadiZadeh , Mehrdad Fatourechi , Shahrzad Rafati , Radu Matei Ripeanu
DOI:
关键词: Variety (cybernetics) 、 Search engine optimization 、 Computer science 、 Information retrieval
摘要: In accordance with one embodiment, an intelligent supplemental search engine optimization tool may generate keywords relating to content based on additional collected from or more data sources, wherein the sources are selected initial input content. Data include third-party resources. A variety of processes be employed recommend keywords, including frequency-based and probabilistic-based recommendation processes.
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