2011Jisuanji gongchengRequires access

Research of High Accuracy Information Retrieval Based on Field Theory

Yang Wei-mina

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Abstract

Traditional information retrieval model has the problem of low accuracy when obtaining the information.In order to solve the problem,this paper proposes a new information retrieval model based on field theory by analyzing the shortcomings of traditional information retrieval theory.By using the number of standardized index terms and taking account of the relation of index terms,a document information field is constructed.In the new field,the document relevance is computed by field force,so that the new model can get more accurate retrieval results than other models.Experimental results demonstrate its superiority.

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What this paper is about

Traditional information retrieval model has the problem of low accuracy when obtaining the information.In order to solve the problem,this paper proposes a new information retrieval model based on field theory by analyzing the shortcomings of traditional information retrieval theory.By using the number of standardized index terms and taking account of the relation of index terms,a document information field is constructed.In the new field,the document relevance is computed by field force,so that the new model can get more accurate retrieval results than other models.Experimental results demonstrate its superiority.

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Available abstract

Traditional information retrieval model has the problem of low accuracy when obtaining the information.In order to solve the problem,this paper proposes a new information retrieval model based on field theory by analyzing the shortcomings of traditional information retrieval theory.By using the number of standardized index terms and taking account of the relation of index terms,a document information field is constructed.In the new field,the document relevance is computed by field force,so that the new model can get more accurate retrieval results than other models.Experimental results demonstrate its superiority.

Key concepts: Computer science, Relevance (law), Field (mathematics), Information retrieval, Relation (database), Vector space model, Index (typography), Divergence-from-randomness model

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