Query Expansion in XML Information Retrieval A new Approach for terms selection

被引：0

作者：

Mataoui, M'hamed ^{[1
,2
]}

Sebbak, Faouzi ^{[3
]}

Benhammadi, Farid ^{[3
]}

Bey, Kadda Beghdad ^{[3
]}

机构：

[1] Ecole Mil Polytech, IS & DB Lab, BP 17, Algiers, Algeria

[2] UMBB Univ, LIMOSE Lab, Boumerdes, Algeria

[3] Ecole Mil Polytech, AI Lab, Algiers, Algeria

来源：

2015 6TH INTERNATIONAL CONFERENCE ON MODELING, SIMULATION, AND APPLIED OPTIMIZATION (ICMSAO) | 2015年

关键词：

Query expansion; relevance feedback; information retrieval; XML information retrieval;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Query Expansion is an important component for information retrieval systems. It makes possible the reformulation of the initial user query by adding new terms. In this paper, we propose a new approach for term selection in the relevance feedback process. This approach, based on Rocchio formula, is an adaptation to the XML information retrieval context. It can resolve two major problems specific to the XML information retrieval: the overlapping problem in the list of retrieved elements; and the problem of inclusion of irrelevant elements in the selection of new query terms.

引用

页数：4

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