文章基本信息

标题：WEIGHTED TREE SIMILARITY SEMANTIC SEARCH FOR E-COMMERCE CONTENT
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作者：I MADE SUKARSA ; I MADE BAYU DWI PUTRA ; I GUSTI MADE ARYA SASMITA 等
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2013
卷号：55
期号：3
出版社：Journal of Theoretical and Applied
摘要：This paper is to explain about e-commerce semantic search content. This Algorithm is using weight tree representation, TF-IDF calculation and cosine similarity. This method made the output of search result be more detail. Searched article is inputed to the system manually. Then, registered user or not, is able to do the article search on the system. Input from keywords inserted by the user processed by weighted tree calculation TF-IDF, and Cosine Similarity. The highest content weight will be displayed in on the highest list.
关键词：Semantic Search; Search Engine; Semantic Similarity ;TF-IDF; Weighted Tree Similarity