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On Event Spaces and Probabilistic Models in Information Retrieval

Stephen Robertson
2005 Information retrieval (Boston)  
The event space issue makes for some difficulty in comparing different probabilistic models in IR.  ...  A simple one-to-many example is discussed at length. The information retrieval case, involving queries, documents and relevance, is analysed.  ...  The information retrieval case involving queries, documents and relevance judgements is a case in point.  ... 
doi:10.1007/s10791-005-5665-9 fatcat:dxeriefscbaoffxilxqyxxl6b4

Introduction to probabilistic models in IR

Victor P. Lavrenko
2010 Proceeding of the 33rd international ACM SIGIR conference on Research and development in information retrieval - SIGIR '10  
Most of today's state-of-the-art retrieval models, including BM25 and language modeling, are grounded in probabilistic principles.  ...  Having a working understanding of these principles can help researchers understand existing retrieval models better and also provide industrial practitioners with an understanding of how such models can  ...  This half-day tutorial will cover the fundamentals of two dominant probabilistic frameworks for Information Retrieval: the classical probabilistic model and the language modeling approach.  ... 
doi:10.1145/1835449.1835677 dblp:conf/sigir/Lavrenko10 fatcat:emrhptb75zdrnef5h62pqviqbq

On event space and rank equivalence between probabilistic retrieval models

Robert W. P. Luk
2008 Information retrieval (Boston)  
Keywords Probabilistic models Á Event space Á Information retrieval Introduction Robertson's (2005) instructive paper cautions some of the mathematical derivations of language models for information retrieval  ...  This paper focuses on the strict rank equivalence which requires the event spaces of the participating probabilistic models to be identical.  ...  Appendix I: Alternative derivation According to the Lafferty and Zhai (2003) model, the ranking formula (i.e., Eq. 1.18 in Lafferty and Zhai 2003) is:  ... 
doi:10.1007/s10791-008-9062-z fatcat:fb44fm6tiveyldqolsbpjqsa6u

Prior Information and the Determination of Event Spaces in Probabilistic Information Retrieval Models [chapter]

Corrado Boscarino, Arjen P. de Vries
2009 Lecture Notes in Computer Science  
A mismatch between different event spaces has been used to argue against rank equivalence of classic probabilistic models of information retrieval and language models.  ...  Acknowledging our solution of the event space issue invites to rethink the relation between probabilistic models, statistics and logic in the context of IR.  ...  Event Spaces and Probabilistic Models Arguing against the rank equivalence put forward by Lafferty and Zhai in [1, pp. 1-10], Robertson sets out to explain why a mixture of different event spaces could  ... 
doi:10.1007/978-3-642-04417-5_24 fatcat:asets3d76vdevactinsjxcfrfy

Probabilistic document indexing from relevance feedback data

N. Fuhr, C. Buckley
1990 Proceedings of the 13th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '90  
Based on the binary independence indexing model, we apply three new concepts for probabilistic document indexing from relevance feedback data: (cl 1990 ACM o-89791-408-2 90 0009 45 $1.50  ...  Acknowledgement We thank Keith van Rijsbergen for his constructive comments on an earlier version of this paper.  ...  results using either the top 15 ranked documents or full relevance information (test sample, @bin, &) 'I Event space Tables 6 and 7 show the difference in the retrieval quality by  ... 
doi:10.1145/96749.98008 dblp:conf/sigir/FuhrB90 fatcat:eqgdee67jnerzon3qouuenl2da

Monolingual and Cross-Lingual Probabilistic Topic Models and Their Applications in Information Retrieval [chapter]

Marie-Francine Moens, Ivan Vulić
2013 Lecture Notes in Computer Science  
Their probabilistic framework allows for their easy integration into a language modeling framework for monolingual and crosslingual information retrieval.  ...  The tutorial also demonstrates how semantically similar words across languages are integrated as useful additional evidences in cross-lingual information retrieval models.  ...  -Come to know how to integrate the knowledge from probabilistic topic models into probabilistic models for information retrieval in both monolingual and cross-lingual settings.  ... 
doi:10.1007/978-3-642-36973-5_106 fatcat:bnk7t6l3zjfmval53l3lu5bbym

IR models

Thomas Roelleke
2012 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval - SIGIR '12  
The first part of this tutorial presents an in-depth consolidation of the foundations of the main IR models (TF-IDF, BM25, LM). Particular attention will be given to notation and probabilistic roots.  ...  Knowing about the foundations and relationships of IR models can significantly improve building information management systems.  ...  KLdivergence, mutual information). Particular emphasis will be given to the issue of event spaces [16, 18, 10] , and a notation that is consistent across different models.  ... 
doi:10.1145/2348283.2348535 dblp:conf/sigir/Roelleke12 fatcat:tdj2kn37tjcdpnduv3u66s7owy

IR Models

Thomas Roelleke
2013 Proceedings of the 2013 Conference on the Theory of Information Retrieval - ICTIR '13  
The first part of this tutorial presents an in-depth consolidation of the foundations of the main IR models (TF-IDF, BM25, LM). Particular attention will be given to notation and probabilistic roots.  ...  Knowing about the foundations and relationships of IR models can significantly improve building information management systems.  ...  KLdivergence, mutual information). Particular emphasis will be given to the issue of event spaces [16, 18, 10] , and a notation that is consistent across different models.  ... 
doi:10.1145/2499178.2499203 dblp:conf/ictir/Roelleke13 fatcat:5d5vdwyjznegzm4qtler76gcje

A Linguistically Motivated Probabilistic Model of Information Retrieval [chapter]

Djoerd Hiemstra
1998 Lecture Notes in Computer Science  
This paper presents a new probabilistic model of information retrieval. The most important modeling assumption made is that documents and queries are defined by an ordered sequence of single terms.  ...  A pilot experiment on the Cranfield test collection indicates that the presented model outperforms the vector space model with classical tf×idf and cosine length normalisation.  ...  Wessel Kraaij of The Netherlands Organisation for Applied Scientific Research (TNO) for discussions on information retrieval.  ... 
doi:10.1007/3-540-49653-x_34 fatcat:nesghexv7fekjepzuludlxfvpi

Spatio-Temporal Querying in Smart Spaces

Vivek Menon, Bharat Jayaraman, Venu Govindaraju
2012 Procedia Computer Science  
Information retrieval in a smart space is concerned with information about the location of people at various points in time.  ...  A 'smart space' is one that automatically identifies and tracks its occupants using unobtrusive biometric modalities such as face, gait, and voice in an unconstrained fashion.  ...  We formulated probabilistic queries in SQL and CLP(R) to show how information can be retrieved.  ... 
doi:10.1016/j.procs.2012.06.048 fatcat:sgo2s23gwvghfc5xclinigz4da

Probabilistic spatio-temporal retrieval in smart spaces

Vivek Menon, Bharat Jayaraman, Venu Govindaraju
2013 Journal of Ambient Intelligence and Humanized Computing  
Information retrieval in a smart space is concerned with the location and movement of people over time.  ...  This paper extends our most recent work (Menon et al, 2012b) on spatio temporal querying in smart spaces and discusses the results of information retrieval and performance of a smart space from a querydependent  ...  Conclusions and Future Work We have presented an approach to retrieving information on the whereabouts of occupants in a smart space.  ... 
doi:10.1007/s12652-013-0199-2 fatcat:rzfhmgswyzginbvczh26lscxiy

Multi-modal multi-correlation person-centric news retrieval

Zechao Li, Jing Liu, Xiaobin Zhu, Hanqing Lu
2010 Proceedings of the 19th ACM international conference on Information and knowledge management - CIKM '10  
In this paper, we propose a framework of multi-modal multicorrelation person-centric news retrieval, which integrates news event correlations, news entity correlations, and evententity correlations simultaneously  ...  by exploring both text and image information.  ...  To fully employ the multi-correlation information, we proposed a Multi-correlation Probabilistic Matrix Factorization model (MPMF) to analyze news entity correlation, news event correlation and entity-event  ... 
doi:10.1145/1871437.1871464 dblp:conf/cikm/LiLZL10 fatcat:tghxviynnve63gwurutveq3a3u

On the Probabilistic Logical Modelling of Quantum and Geometrically-Inspired IR

Fabrizio Smeraldi, Miguel Martinez-Alvarez, Ingo Frommholz, Thomas Roelleke
2011 Italian Information Retrieval Workshop  
Information Retrieval approaches can mostly be classed into probabilistic, geometric or logic-based.  ...  In this paper we show the relation between this model and classic concepts such as the Generalised Vector Space Model, highlighting similarities and differences.  ...  model L1 and L2 probabilities. 2 Geometric IR (GIR) Background Quantum logic, i.e. logic on Hilbert spaces, allows us to cast information retrieval in a geometric context.  ... 
dblp:conf/iir/SmeraldiMFR11 fatcat:4n4f7ux3g5ahrjcohgsxosfaqm

Classical and Probabilistic Information Retrieval Techniques: An Audit

Qaiser Abbas
2021 Lahore Garrison University research journal of computer science and information technology  
The most important information retrieval methods include the probabilistic, fuzzy set, vector space, and boolean models.  ...  The incredible increase in information resources on the Internet formulates the information retrieval procedure, a monotonous and complicated task for users.  ...  in the vector space model and probabilistic models.  ... 
doi:10.54692/lgurjcsit.2021.0503221 fatcat:z5becjxpdvdzhabyixmx6pfjl4

A Comparison of Text Retrieval Models

H. R. Turtle, W. B. Croft
1992 Computer journal  
In this paper we introduce a recent form of the probabilistic model based on inference networks, and show how the vector space and exact-match models can be described in this framework.  ...  Many retrieval models have been proposed as the basis of text retrieval systems. The three main classes that have been investigated are the exact-match, vector space and probabilistic models.  ...  In what follows we will describe retrieval models and introduce a probabilistic model based on inference networks.  ... 
doi:10.1093/comjnl/35.3.279 fatcat:bwipc6ljsvbkbdwxlemj5f43vi
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