Applied categorical data analysis
Applied categorical data analysis
Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
Combining model-oriented and description-oriented approaches for probabilistic indexing
SIGIR '91 Proceedings of the 14th annual international ACM SIGIR conference on Research and development in information retrieval
A probabilistic learning approach for document indexing
ACM Transactions on Information Systems (TOIS) - Special issue on research and development in information retrieval
Probabilistic retrieval based on staged logistic regression
SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
Probabilistic retrieval revisited
The Computer Journal - Special issue on information retrieval
Inferring probability of relevance using the method of logistic regression
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
The effectiveness of GIOSS for the text database discovery problem
SIGMOD '94 Proceedings of the 1994 ACM SIGMOD international conference on Management of data
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
Query-based sampling of text databases
ACM Transactions on Information Systems (TOIS)
Modeling score distributions for combining the outputs of search engines
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Generalizing GlOSS to Vector-Space Databases and Broker Hierarchies
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
Evaluating different methods of estimating retrieval quality for resource selection
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
The SMART Retrieval System—Experiments in Automatic Document Processing
The SMART Retrieval System—Experiments in Automatic Document Processing
From uncertain inference to probability of relevance for advanced IR applications
ECIR'03 Proceedings of the 25th European conference on IR research
A probability ranking principle for interactive information retrieval
Information Retrieval
Combining similarity measures in content-based image retrieval
Pattern Recognition Letters
Applying statistical principles to data fusion in information retrieval
Expert Systems with Applications: An International Journal
Assigning appropriate weights for the linear combination data fusion method in information retrieval
Information Processing and Management: an International Journal
Modeling information sources as integrals for effective and efficient source selection
Information Processing and Management: an International Journal
Retrieval result presentation and evaluation
KSEM'10 Proceedings of the 4th international conference on Knowledge science, engineering and management
The linear combination data fusion method in information retrieval
DEXA'11 Proceedings of the 22nd international conference on Database and expert systems applications - Volume Part II
Applying the data fusion technique to blog opinion retrieval
Expert Systems with Applications: An International Journal
Linear combination of component results in information retrieval
Data & Knowledge Engineering
PIRE: an extensible IR engine based on probabilistic datalog
ECIR'05 Proceedings of the 27th European conference on Advances in Information Retrieval Research
Retrieval status values in information retrieval evaluation
SPIRE'05 Proceedings of the 12th international conference on String Processing and Information Retrieval
The optimum clustering framework: implementing the cluster hypothesis
Information Retrieval
Explicit relevance models in intent-oriented information retrieval diversification
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
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Information Retrieval systems typically sort the result with respect to document retrieval status values (RSV). According to the Probability Ranking Principle, this ranking ensures optimum retrieval quality if the RSVs are monotonously increasing with the probabilities of relevance (as e.g. for probabilistic IR models). However, advanced applications like filtering or distributed retrieval require estimates of the actual probability of relevance. The relationship between the RSV of a document and its probability of relevance can be described by a “normalisation” function which maps the retrieval status value onto the probability of relevance (“mapping functions”). In this paper, we explore the use of linear and logistic mapping functions for different retrieval methods. In a series of upper-bound experiments, we compare the approximation quality of the different mapping functions. We also investigate the effect on the resulting retrieval quality in distributed retrieval (only merging, without resource selection). These experiments show that good estimates of the actual probability of relevance can be achieved, and that the logistic model outperforms the linear one. Retrieval quality for distributed retrieval is only slightly improved by using the logistic function.