Latent semantic indexing model for Boolean query formulation (poster session)

Authors:
Dae-Ho Baek;HeuiSeok Lim;Hae-Chang Rim
Affiliations:
Natural Language Processing Lab., Dept. of Computer Science and Engineering, Korea University, 1, 5-ga, Anam-dong, Sungbuk-gu, Seoul, 136-701, Korea;Dept. of Information Communications, Chonan University;Natural Language Processing Lab., Dept. of Computer Science and Engineering, Korea University, 1, 5-ga, Anam-dong, Sungbuk-gu, Seoul, 136-701, Korea
Venue:
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Year:
2000

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Abstract

A new model named Boolean Latent Semantic Indexing model based on the Singular Value Decomposition and Boolean query formulation is introduced. While the Singular Value Decomposition alleviates the problems of lexical matching in the traditional information retrieval model, Boolean query formulation can help users to make precise representation of their information search needs. Retrieval experiments on a number of test collections seem to show that the proposed model achieves substantial performance gains over the Latent Semantic Indexing model.