Soft evaluation of Boolean search queries in information retrieval systems
Information Technology Research Development Applications
Generalized vector spaces model in information retrieval
SIGIR '85 Proceedings of the 8th annual international ACM SIGIR conference on Research and development in information retrieval
Automatic assignment of soft Boolean operators
SIGIR '85 Proceedings of the 8th annual international ACM SIGIR conference on Research and development in information retrieval
Extended Boolean information retrieval
Communications of the ACM
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Automatic Assignment of Soft Boolean Operators
Automatic Assignment of Soft Boolean Operators
On modeling of information retrieval concepts in vector spaces
ACM Transactions on Database Systems (TODS)
A statistical similarity measure
SIGIR '87 Proceedings of the 10th annual international ACM SIGIR conference on Research and development in information retrieval
Adaptive linear information retrieval models
SIGIR '87 Proceedings of the 10th annual international ACM SIGIR conference on Research and development in information retrieval
Concept based retrieval in classical IR systems
SIGIR '88 Proceedings of the 11th annual international ACM SIGIR conference on Research and development in information retrieval
An investigation of content representation using text grammars
ACM Transactions on Information Systems (TOIS)
Interpreting TF-IDF term weights as making relevance decisions
ACM Transactions on Information Systems (TOIS)
Building a framework for the probability ranking principle by a family of expected weighted rank
ACM Transactions on Information Systems (TOIS)
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An information retrieval model, named the Generalized Vector Space Model (GVSM), is extended to handle situations where queries are specified as (extended) Boolean expressions. It is shown that this unified model, unlike currently available alternatives, has the advantage of incorporating term correlations into the retrieval process. The query language extension is attractive in the sense that most of the algebraic properties of the strict Boolean language are still preserved. Although the experimental results for extended Boolean retrieval are not always better than the vector processing method, the developments here are significant in facilitating commercially available retrieval systems to benefit from the vector based methods. The proposed scheme is compared to the p-norm model advanced by Salton and coworkers. An important conclusion is that it is desirable to investigate further extensions that can offer the benefits of both proposals.