Probabilistic models in information retrieval
The Computer Journal - Special issue on information retrieval
On modeling information retrieval with probabilistic inference
ACM Transactions on Information Systems (TOIS)
A language modeling approach to information retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
“Is this document relevant?…probably”: a survey of probabilistic models in information retrieval
ACM Computing Surveys (CSUR)
On Relevance, Probabilistic Indexing and Information Retrieval
Journal of the ACM (JACM)
The unified probabilistic model for IR
SIGIR '82 Proceedings of the 5th annual ACM conference on Research and development in information retrieval
Language Modeling for Information Retrieval
Language Modeling for Information Retrieval
A parallel derivation of probabilistic information retrieval models
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Probability ranking principle via optimal expected rank
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Interpreting TF-IDF term weights as making relevance decisions
ACM Transactions on Information Systems (TOIS)
Unified relevance models for rating prediction in collaborative filtering
ACM Transactions on Information Systems (TOIS)
On event space and rank equivalence between probabilistic retrieval models
Information Retrieval
ICTIR '09 Proceedings of the 2nd International Conference on Theory of Information Retrieval: Advances in Information Retrieval Theory
Building a framework for the probability ranking principle by a family of expected weighted rank
ACM Transactions on Information Systems (TOIS)
Towards a better understanding of the relationship between probabilistic models in IR
ICTIR'11 Proceedings of the Third international conference on Advances in information retrieval theory
A multi-disciplinary approach to interactive information retrieval upon semi-structured data sets
FDIA'09 Proceedings of the Third BCS-IRSG conference on Future Directions in Information Access
Extending BM25 with multiple query operators
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
IR models: foundations and relationships
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Probabilistic group recommendation via information matching
Proceedings of the 22nd international conference on World Wide Web
More Than Words: A Review of Planets, Stars and Sample Spaces
Proceedings of the 2013 Conference on the Theory of Information Retrieval
IR Models: Foundations and Relationships
Proceedings of the 2013 Conference on the Theory of Information Retrieval
Probabilistic models in IR and their relationships
Information Retrieval
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A basic notion of probability theory is the event space, on which the probability measure is defined. A probabilistic model needs an event space. However, some classes of events (which we may want to model probabilistically) exhibit structure which does not fit well into the traditional event space notion. A simple one-to-many example is discussed at length. The information retrieval case, involving queries, documents and relevance, is analysed. The event space issue makes for some difficulty in comparing different probabilistic models in IR.