ACM Transactions on Database Systems (TODS)
RUBRIC: A System for Rule-Based Information Retrieval
IEEE Transactions on Software Engineering - Special issue on COMPSAC 1982 and 1983
Research into fuzzy extensions of information retrieval
ACM SIGIR Forum
Recent trends in automatic information retrieval
Proceedings of the 9th annual international ACM SIGIR conference on Research and development in information retrieval
Performance of self-taught documents: exploiting co-relevance structure in a document collection
Proceedings of the 9th annual international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the 9th annual international ACM SIGIR conference on Research and development in information retrieval
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
SIGIR '85 Proceedings of the 8th annual international ACM SIGIR conference on Research and development in information retrieval
RUBRIC: an environment for full text information retrieval
SIGIR '85 Proceedings of the 8th annual international ACM SIGIR conference on Research and development in information retrieval
A clustered search algorithm incorporating arbitrary term dependencies
ACM Transactions on Database Systems (TODS)
On Relevance, Probabilistic Indexing and Information Retrieval
Journal of the ACM (JACM)
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)
On the Construction of Feedback Queries
Journal of the ACM (JACM)
Evaluation of the 2-Poisson model as a basis for using term frequency data in searching
SIGIR '83 Proceedings of the 6th annual international ACM SIGIR conference on Research and development in information retrieval
Information Retrieval
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Probabilistic models of indexing and searching
SIGIR '80 Proceedings of the 3rd annual ACM conference on Research and development in information retrieval
Simulation of bibliographic retrieval databases using hyperterms
SIGIR '82 Proceedings of the 5th annual ACM conference on Research and development in information retrieval
WEIRD: An approach to concept-based information retrieval
SIGIR '78 Proceedings of the 1st annual international ACM SIGIR conference on Information storage and retrieval
Dynamic information and library processing
Dynamic information and library processing
ACM Transactions on Information Systems (TOIS)
An object-oriented modeling of the history of optimal retrievals
SIGIR '91 Proceedings of the 14th annual international ACM SIGIR conference on Research and development in information retrieval
ACM Transactions on Information Systems (TOIS)
ACIRD: Intelligent Internet Document Organization and Retrieval
IEEE Transactions on Knowledge and Data Engineering
Type Classification of Semi-Structured Documents
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
ANLC '94 Proceedings of the fourth conference on Applied natural language processing
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The aim of an effective retrieval system is to yield high recall and precision (retrieval effectiveness). The nonbinary independence model, which takes into consideration the number of occurrences of terms in documents, is introduced. It is shown to be optimal under the assumption that terms are independent. It is verified by experiments to yield significant improvement over the binary independence model. The nonbinary model is extended to normalized vectors and is applicable to more general queries.Various ways to alleviate the consequences of the term independence assumption are discussed. Estimation of parameters required for the nonbinary independence model is provided, taking into consideration that a term may have different meanings.