文章基本信息

标题：Improving the Relevancy of Document Search using the Multi-Term Adjacency Keyword-Order Model
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作者：Lim Bee Huang ; Vimala Balakrishnan ; Ram Gopal Raj 等
期刊名称：Malaysian Journal of Computer Science
印刷版ISSN：0127-9084
出版年度：2012
卷号：25
期号：1
出版社：University of Malaya * Faculty of Computer Science and Information Technology
摘要：This paper presents an enhanced vector space model, MultiTerm Adjacency KeywordOrder Model, to improve the relevancy of search results, specifically document search. Our model is based on the concept of keyword grouping. The keywordorder relationship in the adjacency terms is taken into consideration in measuring a term’s weight. Assigning more weights to adjacency terms in a query order results in the document vector being moved closer to the query vector, and hence increases the relevancy between the two vectors and thus eventually results in documents with better relevancy being retrieved. The performance of our model is measured based on precision metrics against the performance of a classic vector space model and the performance of a MultiTerm Vector Space Model. Results show that our model performs better in retrieving more relevant results based on a particular search query compared to both the other models.
关键词：Information retrieval; keywordorder; vector space model; adjacency terms relationship