Latent semantic indexing model for Boolean query formulation

Dae Ho Baek, Heui Seok Lim, Hae Chang Rim

Research output: Contribution to journalConference articlepeer-review

3 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)310-312
Number of pages3
JournalSIGIR Forum (ACM Special Interest Group on Information Retrieval)
Publication statusPublished - 2000
EventProceedings of the 23rd International ACM SIGIR Conference on Research and Development in Infornation Retrieval (SIGIR 2000) - Athens, Greece
Duration: 2000 Jul 242000 Jul 28

ASJC Scopus subject areas

  • Management Information Systems
  • Hardware and Architecture


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