Pivoted document length normalization
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
A study of smoothing methods for language models applied to Ad Hoc information retrieval
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Information Retrieval
Probabilistic models of information retrieval based on measuring the divergence from randomness
ACM Transactions on Information Systems (TOIS)
An empirical study of smoothing techniques for language modeling
ACL '96 Proceedings of the 34th annual meeting on Association for Computational Linguistics
Term frequency normalisation tuning for BM25 and DFR models
ECIR'05 Proceedings of the 27th European conference on Advances in Information Retrieval Research
On setting the hyper-parameters of term frequency normalization for information retrieval
ACM Transactions on Information Systems (TOIS)
Parameter sensitivity in the probabilistic model for ad-hoc retrieval
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
A3CRank: An adaptive ranking method based on connectivity, content and click-through data
Information Processing and Management: an International Journal
Setting per-field normalisation hyper-parameters for the named-page finding search task
ECIR'07 Proceedings of the 29th European conference on IR research
Extending weighting models with a term quality measure
SPIRE'07 Proceedings of the 14th international conference on String processing and information retrieval
Diagnostic Evaluation of Information Retrieval Models
ACM Transactions on Information Systems (TOIS)
CLEF'05 Proceedings of the 6th international conference on Cross-Language Evalution Forum: accessing Multilingual Information Repositories
Frequentist and bayesian approach to information retrieval
ECIR'06 Proceedings of the 28th European conference on Advances in Information Retrieval
A novel TF-IDF weighting scheme for effective ranking
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
About learning models with multiple query-dependent features
ACM Transactions on Information Systems (TOIS)
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In Information Retrieval (IR), the Dirichlet Priors have been applied to the smoothing technique of the language modeling approach. In this paper, we apply the Dirichlet Priors to the term frequency normalisation of the classical BM25 probabilistic model and the Divergence from Randomness PL2 model. The contributions of this paper are twofold. First, through extensive experiments on four TREC collections, we show that the newly generated models, to which the Dirichlet Priors normalisation is applied, provide robust and effective performance. Second, we propose a novel theoretically-driven approach to the automatic parameter tuning of the Dirichlet Priors normalisation. Experiments show that this tuning approach optimises the retrieval performance of the newly generated Dirichlet Priors-based weighting models.