文章基本信息

标题：Vector Space Basis Change in Information Retrieval
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作者：Rabeb Mbarek ; Mohamed Tmar ; Hawete Hattab 等
期刊名称：Computación y Sistemas
印刷版ISSN：1405-5546
出版年度：2014
卷号：18
期号：3
页码：569-579
语种：English
出版社：Instituto Politécnico Nacional
其他摘要：The Vector Space Basis Change (VSBC) is an algebraic operator responsible for change of basis and it is parameterized by a transition matrix. If we change the vector space basis, then each vector com- ponent changes depending on this matrix. The strategy of VSBC has been shown to be effective in separating relevant documents and irrelevant ones. Recently, using this strategy, some feedback algorithms have been de- veloped. To build a transition matrix some optimization methods have been used. In this paper, we propose to use a simple, convenient and direct method to build a transition matrix. Based on this method we develop a relevance feedback algorithm. Experimental results on a TREC collection show that our proposed method is effective and generally superior to known VSBC-based models. We also show that our proposed method gives a statistically significant improvement over these models.
关键词：Vector space model; vector space basis change; VSBC-based model; relevance feedback