Some simple effective approximations to the 2-Poisson model for probabilistic weighted retrieval
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Pivoted document length normalization
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Model-based feedback in the language modeling approach to information retrieval
Proceedings of the tenth international conference on Information and knowledge management
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Probabilistic models of information retrieval based on measuring the divergence from randomness
ACM Transactions on Information Systems (TOIS)
A study of smoothing methods for language models applied to information retrieval
ACM Transactions on Information Systems (TOIS)
A formal study of information retrieval heuristics
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Modeling word burstiness using the Dirichlet distribution
ICML '05 Proceedings of the 22nd international conference on Machine learning
Graph mining: Laws, generators, and algorithms
ACM Computing Surveys (CSUR)
ICML '06 Proceedings of the 23rd international conference on Machine learning
A new probabilistic retrieval model based on the dirichlet compound multinomial distribution
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the IR research, 30th European conference on Advances in information retrieval
ECIR'08 Proceedings of the IR research, 30th European conference on Advances in information retrieval
The BNB distribution for text modeling
ECIR'08 Proceedings of the IR research, 30th European conference on Advances in information retrieval
ECIR'08 Proceedings of the IR research, 30th European conference on Advances in information retrieval
Semantic combination of textual and visual information in multimedia retrieval
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
Do IR models satisfy the TDC retrieval constraint
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Is document frequency important for PRF?
ICTIR'11 Proceedings of the Third international conference on Advances in information retrieval theory
Lower-bounding term frequency normalization
Proceedings of the 20th ACM international conference on Information and knowledge management
A log-logistic model-based interpretation of TF normalization of BM25
ECIR'12 Proceedings of the 34th European conference on Advances in Information Retrieval
An information-based cross-language information retrieval model
ECIR'12 Proceedings of the 34th European conference on Advances in Information Retrieval
Proceedings of the 21st ACM international conference on Information and knowledge management
Artificial Intelligence in Medicine
Estimation of the collection parameter of information models for IR
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
Information-theoretic term weighting schemes for document clustering
Proceedings of the 13th ACM/IEEE-CS joint conference on Digital libraries
Composition of TF normalizations: new insights on scoring functions for ad hoc IR
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Unsupervised latent concept modeling to identify query facets
Proceedings of the 10th Conference on Open Research Areas in Information Retrieval
A Theoretical Analysis of Pseudo-Relevance Feedback Models
Proceedings of the 2013 Conference on the Theory of Information Retrieval
Tie Breaker: A Novel Way of Combining Retrieval Signals
Proceedings of the 2013 Conference on the Theory of Information Retrieval
Transferring knowledge with source selection to learn IR functions on unlabeled collections
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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We introduce in this paper the family of information-based models for ad hoc information retrieval. These models draw their inspiration from a long-standing hypothesis in IR, namely the fact that the difference in the behaviors of a word at the document and collection levels brings information on the significance of the word for the document. This hypothesis has been exploited in the 2-Poisson mixture models, in the notion of eliteness in BM25, and more recently in DFR models. We show here that, combined with notions related to burstiness, it can lead to simpler and better models.