SIGIR '89 Proceedings of the 12th annual international ACM SIGIR conference on Research and development in information retrieval
A probability distribution model for information retrieval
Information Processing and Management: an International Journal - Modeling data, information and knowledge
Models for retrieval with probabilistic indexing
Information Processing and Management: an International Journal - Modeling data, information and knowledge
A probabilistic inference model for information retrieval
Information Systems
A probabilistic learning approach for document indexing
ACM Transactions on Information Systems (TOIS) - Special issue on research and development in information retrieval
Information retrieval
Towards a probabilistic modal logic for semantic-based information retrieval
SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
About retrieval models and logic
The Computer Journal - Special issue on information retrieval
Probabilistic models in information retrieval
The Computer Journal - Special issue on information retrieval
Computation of term associations by a neural network
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
Class-based n-gram models of natural language
Computational Linguistics
Query expansion using lexical-semantic relations
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
The formalism of probability theory in IR: a foundation or an encumbrance?
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
On modeling information retrieval with probabilistic inference
ACM Transactions on Information Systems (TOIS)
Probabilistic Datalog—a logic for powerful retrieval methods
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
Information retrieval and situation theory
ACM SIGIR Forum
Information Retrieval
Word association norms, mutual information, and lexicography
ACL '89 Proceedings of the 27th annual meeting on Association for Computational Linguistics
Automatic Information Organization and Retrieval.
Automatic Information Organization and Retrieval.
Application of aboutness to functional benchmarking in information retrieval
ACM Transactions on Information Systems (TOIS)
Getting into information retrieval
Lectures on information retrieval
Logic and uncertainty in information retrieval
Lectures on information retrieval
Information Retrieval
Exploiting the Similarity of Non-Matching Terms at RetrievalTime
Information Retrieval
Logic and Uncertainty in Information Retrieval
ESSIR '00 Proceedings of the Third European Summer-School on Lectures on Information Retrieval-Revised Lectures
Getting into Information Retrieval
ESSIR '00 Proceedings of the Third European Summer-School on Lectures on Information Retrieval-Revised Lectures
Hairetes: A Search Engine for OCR Documents
DAS '02 Proceedings of the 5th International Workshop on Document Analysis Systems V
Journal of the American Society for Information Science and Technology - Mathematical, logical, and formal methods in information retrieval
Logical and uncertainty models for information access: current trends
The Knowledge Engineering Review
Structured Information Retrieval and Quantum Theory
QI '09 Proceedings of the 3rd International Symposium on Quantum Interaction
A probabilistic logic for information retrieval
ECIR'05 Proceedings of the 27th European conference on Advances in Information Retrieval Research
Graph-based term weighting for information retrieval
Information Retrieval
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We analyze the kinematics of probabilistic term weights at retrieval time for different Information Retrieval models. We present four models based on different notions of probabilistic retrieval. Two of these models are based on classical probability theory and can be considered as prototypes of models long in use in Information Retrieval, like the Vector Space Model and the Probabilistic Model. The two other models are based on a logical technique of evaluating the probability of a conditional called imaging; one is a generalization of the other. We analyze the transfer of probabilities occurring in the term space at retrieval time for these four models, compare their retrieval performance using classical test collections, and discuss the results. We believe that our results provide useful suggestions on how to improve existing probabilistic models of Information Retrieval by taking into consideration term-term similarity.