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A probability ranking principle for interactive information retrieval

Norbert Fuhr
2008 Information retrieval (Boston)  
The classical Probability Ranking Principle (PRP) forms the theoretical basis for probabilistic Information Retrieval (IR) models, which are dominating IR theory since about 20 years.  ...  However, the assumptions underlying the PRP often do not hold, and its view is too narrow for interactive information retrieval (IIR).  ...  Acknowledgments I wish to thank the Glasgow IR group, especially Keith van Rijsbergen, for their hospitality and fruitful discussions when staying with them in August 2007, while I was writing this article  ... 
doi:10.1007/s10791-008-9045-0 fatcat:4662jfzgobeqtfaxre3t26s3ju

Developing the Quantum Probability Ranking Principle

Guido Zuccon, Leif Azzopardi
2010 Italian Information Retrieval Workshop  
In this work, we summarise the development of a ranking principle based on quantum probability theory, called the Quantum Probability Ranking Principle (QPRP), and we also provide an overview of the initial  ...  Our research shows that the application of quantum theory to problems within information retrieval can lead to consistently better retrieval effectiveness, while still being simple, elegant and tractable  ...  Acknowledgements: We would like to thank Keith van Rijsbergen for his collaboration, support and mentoring, and Massimo Melucci for his comments and suggestions.  ... 
dblp:conf/iir/ZucconA10 fatcat:7lq3m7os5bb4dhtim6yxp47msq

Building and Using Models of Information Seeking, Search and Retrieval

Leif Azzopardi, Guido Zuccon
2015 Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval - SIGIR '15  
Then we will examine more contemporary formal models (including Information Foraging Theory, the Interactive Probability Ranking Principle, and Search Economic Theory).  ...  In the first session we will discuss the rationale of modelling and examine a number of early formal models of search (including early cost models and the Probability Ranking Principle).  ...  His research interests include formal models of search, ranking principles for information retrieval, and retrieval models for health search.  ... 
doi:10.1145/2766462.2767874 dblp:conf/sigir/AzzopardiZ15 fatcat:ehih32w5wffcrfdxss3jtsvicy

Building Economic Models and Measures of Search

Leif Azzopardi, Alistair Moffat, Paul Thomas, Guido Zuccon
2019 Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval - SIGIR'19  
In this tutorial, we first provide an overview of relevant economic theories, before showing how they can be applied to formulate different ranking principles to provide the optimal ranking to users.  ...  We then show how information foraging theory can be used to measure the performance of an information retrieval system -connecting the theory of how people search with how we measure it.  ...  For all other uses, contact the owner/author(s to provide: (i) the underpinnings of retrieval models (e.g., the probability ranking principle [19] , etc.); (ii) the development of new retrieval models  ... 
doi:10.1145/3331184.3331379 dblp:conf/sigir/AzzopardiMTZ19 fatcat:x2yknzt44jckhjqml2fz2by5la

Using the Quantum Probability Ranking Principle to Rank Interdependent Documents [chapter]

Guido Zuccon, Leif Azzopardi
2010 Lecture Notes in Computer Science  
A known limitation of the Probability Ranking Principle (PRP) is that it does not cater for dependence between documents.  ...  In a thorough empirical investigation, models based on the PRP, as well as other recently proposed ranking strategies for subtopic retrieval (i.e.  ...  Acknowledgments: We would like to thank Keith van Rijsbergen for his support and mentoring. This work has been conducted as part of the EPSRC Renaissance project (EP/F014384/1).  ... 
doi:10.1007/978-3-642-12275-0_32 fatcat:kgfxatggevahla2tzab7hwpt4y

The Return of the Probability of Relevance

Norbert Fuhr
2013 Dutch-Belgian Workshop on Information Retrieval  
The probability ranking principle (PRP) proves that ranking documents by decreasing probability of relevance yields optimum retrieval quality.  ...  Most research on probabilistic models has focused only on producing a probabilistic ranking, without estimating the actual probabilities.  ...  It characterizes each situation in interactive retrieval as a list of choices, where each choice is described as the effort for evaluating it, the probability that the user will accept it, and the benefit  ... 
dblp:conf/dir/Fuhr13 fatcat:zrlqcrkqnnbbpjpbrkbd7diowi

The interactive PRP for diversifying document rankings

Guido Zuccon, Leif Azzopardi, C.J. "Keith" van Rijsbergen
2011 Proceedings of the 34th international ACM SIGIR conference on Research and development in Information - SIGIR '11  
The assumptions underlying the Probability Ranking Principle (PRP) have led to a number of alternative approaches that cater or compensate for the PRP's limitations.  ...  In this poster, we propose a possible instantiation of the principle, performing the first empirical comparison of the iPRP against the PRP.  ...  The probability Q(.) of a user not revising their choice can be treated as constant for all the documents, and thus it is dropped for rank equivalence reasons.  ... 
doi:10.1145/2009916.2010132 dblp:conf/sigir/ZucconAR11 fatcat:6f627oyqpbadxboa7f5b67p4ia

Economic models of search

Leif Azzopardi
2013 Proceedings of the 18th Australasian Document Computing Symposium on - ADCS '13  
In this tutorial, we first provide an overview of relevant economic theories, before showing how they can be applied to formulate different ranking principles to provide the optimal ranking to users.  ...  We then show how information foraging theory can be used to measure the performance of an information retrieval system -connecting the theory of how people search with how we measure it.  ...  For all other uses, contact the owner/author(s to provide: (i) the underpinnings of retrieval models (e.g., the probability ranking principle [19] , etc.); (ii) the development of new retrieval models  ... 
doi:10.1145/2537734.2537735 dblp:conf/adcs/Azzopardi13 fatcat:czm52hk46jh45puoevfvlxe7ee

A risk minimization framework for information retrieval

ChengXiang Zhai, John Lafferty
2006 Information Processing & Management  
This paper presents a novel probabilistic information retrieval framework in which the retrieval problem is formally treated as a statistical decision problem.  ...  As an example of using the framework to model non-traditional retrieval problems, we derive new retrieval models for subtopic retrieval, which is concerned with retrieving documents to cover many different  ...  This research was sponsored in part by the Advanced Research and Development Activity in Information Technology (ARDA) under its Statistical Language Modeling for Information Retrieval Research Program  ... 
doi:10.1016/j.ipm.2004.11.003 fatcat:ilj5xhb76vhe5cmsfmbyccgkk4

An Analysis of Ranking Principles and Retrieval Strategies [chapter]

Guido Zuccon, Leif Azzopardi, C. J. Keith Van Rijsbergen
2011 Lecture Notes in Computer Science  
The assumptions underlying the Probability Ranking Principle (PRP) have led to a number of alternative approaches that cater or compensate for the PRP's limitations.  ...  This results in a re-ranking that promotes or demotes documents depending upon their relationship with the documents that have been already ranked.  ...  Introduction The Probability Ranking Principle (PRP) has played a central role in the development of Information Retrieval (IR).  ... 
doi:10.1007/978-3-642-23318-0_15 fatcat:dj5qkn42trh4fehxmd27fgazmi

Dynamic ranked retrieval

Christina Brandt, Thorsten Joachims, Yisong Yue, Jacob Bank
2011 Proceedings of the fourth ACM international conference on Web search and data mining - WSDM '11  
We present a theoretically well-founded retrieval model for dynamically generating rankings based on interactive user feedback.  ...  We develop a decision-theoretic framework to guide the design and evaluation of algorithms for this interactive retrieval setting.  ...  The third author was also funded in part by a Microsoft Research Graduate Fellowship. The authors thank Robert Kleinberg for valuable discussions regarding this work.  ... 
doi:10.1145/1935826.1935872 dblp:conf/wsdm/BrandtJYB11 fatcat:phpoxftkijfczomdzb5q3jmole

Dynamic Information Retrieval

Marc Sloan, Jun Wang
2015 Proceedings of the 2015 International Conference on Theory of Information Retrieval - ICTIR '15  
Theoretical frameworks like the Probability Ranking Principle and its more recent Interactive Information Retrieval variant have guided the development of ranking and retrieval algorithms for decades,  ...  In this paper a new theoretical framework for retrieval in these scenarios is proposed.  ...  A recent counterpart is the Probability Ranking Principle for Interactive Information Retrieval (IIR-PRP ) [12] , which relaxes the independence assumption in the PRP 's model to take into account non-linear  ... 
doi:10.1145/2808194.2809457 dblp:conf/ictir/SloanW15 fatcat:f4qkrc6cefdl5ereuzt6ryehae

Advances in Formal Models of Search and Search Behaviour

Leif Azzopardi, Guido Zuccon
2016 Proceedings of the 2016 ACM International Conference on the Theory of Information Retrieval - ICTIR '16  
Recently, there has been a drive to developing formal models of information seeking and retrieval that consider the costs and benefits arising through the interaction with the interface/system and the  ...  information surfaced during that interaction.  ...  His research interests include formal models of search, ranking principles for information retrieval, and retrieval models for health search.  ... 
doi:10.1145/2970398.2970440 dblp:conf/ictir/AzzopardiZ16 fatcat:2prumcmkfvgvtpkp3jgam4zl4i

The seventeen theoretical constructs of information searching and information retrieval

Bernard J. Jansen, Soo Young Rieh
2010 Journal of the American Society for Information Science and Technology  
We discuss the implications for future research within the information searching and information retrieval fields.  ...  In this article, we identify, compare, and contrast theoretical constructs for the fields of information searching and information retrieval to emphasize the uniqueness of and synergy between the fields  ...  Acknowledgments Our sincere thanks to Ian Ruthven and Jimmy Lin for friendly reviews of a previous version of this article and to Karen Markey and Lee Giles for their helpful comments.  ... 
doi:10.1002/asi.21358 fatcat:u5vmqdlt45arthydhakmevukxe

Monitoring User-System Performance in Interactive Retrieval Tasks

Liudmila V. Boldareva, Arjen P. de Vries, Djoerd Hiemstra
2004 Open research Areas in Information Retrieval  
This paper shows how a Shannon entropy-based measure of user-system performance naturally falls in the framework of (interactive) probabilistic information retrieval.  ...  Monitoring user-system performance in interactive search is a challenging task.  ...  Previous work in IR research applied the MaxEnt principle for the estimation of (conditional) probability of relevance that yields the document ranking in the probabilistic framework (Cooper, 1983; Kantor  ... 
dblp:conf/riao/BoldarevaVH04 fatcat:mjfyccourjffxbgee6bcbuqxoq
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