Intelligent search algorithm for modern tobacco agriculture
Jie Lian, Deji Wang, Xiong Hui · 2012
In this paper, semantic cosine similarity based o n tobacco agriculture ontology is introduced into SVM to cluster the web agriculture information. Experiments proof that it is more efficient and powerful. The final comparison between search engine based on the algorithm and general search engines, also proof that the algorithm is effective and accurate.