On extending the vector space model for Boolean query processing
Proceedings of the 9th annual international ACM SIGIR conference on Research and development in information retrieval
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
Precision Weighting—An Effective Automatic Indexing Method
Journal of the ACM (JACM)
A Statistical Model for Relevance Feedback in Information Retrieval
Journal of the ACM (JACM)
Information Retrieval
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
The SMART Retrieval System—Experiments in Automatic Document Processing
The SMART Retrieval System—Experiments in Automatic Document Processing
Two learning schemes in information retrieval
SIGIR '88 Proceedings of the 11th 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
Rapid retrieval algorithms for case-based reasoning
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 1
Self-similarity based lightweight intrusion detection method for cloud computing
ACIIDS'11 Proceedings of the Third international conference on Intelligent information and database systems - Volume Part II
AIS'04 Proceedings of the 13th international conference on AI, Simulation, and Planning in High Autonomy Systems
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Within the framework of the vector space models, a statistical similarity measure between document and query is proposed. In this approach the assumption that term (or atomic) vectors are pairwise orthogonal is not required. In addition, it provides a natural and consistent interpretation of term occurrence frequencies obtained from autoindexing.