2 Information Retrieval Models

[1]  C. J. van Rijsbergen,et al.  Probabilistic models of information retrieval based on measuring the divergence from randomness , 2002, TOIS.

[2]  C. J. van Rijsbergen,et al.  Towards an information logic , 1989, SIGIR '89.

[3]  Fabrizio Sebastiani,et al.  Machine learning in automated text categorization , 2001, CSUR.

[4]  W. Bruce Croft,et al.  Using Probabilistic Models of Document Retrieval without Relevance Information , 1979, J. Documentation.

[5]  Stephen E. Robertson,et al.  Some simple effective approximations to the 2-Poisson model for probabilistic weighted retrieval , 1994, SIGIR '94.

[6]  Eugene L. Margulis,et al.  N-Poisson document modelling , 1992, SIGIR '92.

[7]  Gabriella Kazai,et al.  A general matrix framework for modelling Information Retrieval , 2006, Inf. Process. Manag..

[8]  Edward A. Fox,et al.  Research Contributions , 2014 .

[9]  William S. Cooper,et al.  Getting beyond Boole , 1988, Inf. Process. Manag..

[10]  Stephen E. Robertson,et al.  On Event Spaces and Probabilistic Models in Information Retrieval , 2005, Information Retrieval.

[11]  Akiko Aizawa,et al.  An information-theoretic perspective of tf-idf measures , 2003, Inf. Process. Manag..

[12]  Jon Kleinberg,et al.  Authoritative sources in a hyperlinked environment , 1999, SODA '98.

[13]  Djoerd Hiemstra,et al.  Bayesian extension to the language model for ad hoc information retrieval , 2003, SIGIR.

[14]  Iadh Ounis,et al.  Term Frequency Normalisation Tuning for BM25 and DFR Models , 2005, ECIR.

[15]  Thomas Roelleke,et al.  A parallel derivation of probabilistic information retrieval models , 2006, SIGIR.

[16]  Yiyu Yao,et al.  On modeling information retrieval with probabilistic inference , 1995, TOIS.

[17]  Susan T. Dumais,et al.  Using latent semantic analysis to improve information retrieval , 1988, CHI 1988.

[18]  M. E. Maron,et al.  On Relevance, Probabilistic Indexing and Information Retrieval , 1960, JACM.

[19]  Gerard Salton,et al.  The SMART Retrieval System—Experiments in Automatic Document Processing , 1971 .

[20]  Jian-Yun Nie,et al.  Towards a probabilistic modal logic for semantic-based information retrieval , 1992, SIGIR '92.

[21]  W. Bruce Croft,et al.  Retrieval of Complex Objects , 1992, EDBT.

[22]  W. Bruce Croft,et al.  Evaluation of an inference network-based retrieval model , 1991, TOIS.

[23]  Norbert Fuhr,et al.  Probabilistic Models in Information Retrieval , 1992, Comput. J..

[24]  Thorsten Joachims,et al.  Estimating the Generalization Performance of an SVM Efficiently , 2000, ICML.

[25]  T. Landauer,et al.  Indexing by Latent Semantic Analysis , 1990 .

[26]  J. J. Rocchio,et al.  Relevance feedback in information retrieval , 1971 .

[27]  Stephen E. Robertson,et al.  Relevance weighting of search terms , 1976, J. Am. Soc. Inf. Sci..

[28]  ChengXiang Zhai,et al.  An exploration of axiomatic approaches to information retrieval , 2005, SIGIR '05.

[29]  W. Bruce Croft,et al.  A Comparison of Text Retrieval Models , 1992, Comput. J..

[30]  Sergey Brin,et al.  The Anatomy of a Large-Scale Hypertextual Web Search Engine , 1998, Comput. Networks.

[31]  ChengXiang Zhai,et al.  Probabilistic Relevance Models Based on Document and Query Generation , 2003 .

[32]  Gerard Salton,et al.  A vector space model for automatic indexing , 1975, CACM.

[33]  Stephen E. Robertson,et al.  Large Test Collection Experiments on an Operational, Interactive System: Okapi at TREC , 1995, Inf. Process. Manag..

[34]  C. J. van Rijsbergen,et al.  Term Frequency Normalization via Pareto Distributions , 2002, ECIR.

[35]  Umberto Straccia,et al.  A model of information retrieval based on a terminological logic , 1993, SIGIR.

[36]  Ricardo Baeza-Yates,et al.  Modern Information Retrieval - the concepts and technology behind search, Second edition , 2011 .

[37]  Fabio Crestani,et al.  Probability kinematics in information retrieval , 1995, SIGIR '95.

[38]  Stephen E. Robertson,et al.  Understanding inverse document frequency: on theoretical arguments for IDF , 2004, J. Documentation.

[39]  C. J. van Rijsbergen,et al.  A Non-Classical Logic for Information Retrieval , 1997, Comput. J..

[40]  Ophir Frieder,et al.  Information Retrieval: Algorithms and Heuristics , 1998 .

[41]  Hany Azzam,et al.  Modelling retrieval models in a probabilistic relational algebra with a new operator: the relational Bayes , 2007, The VLDB Journal.

[42]  Robert Wing Pong Luk,et al.  On event space and rank equivalence between probabilistic retrieval models , 2008, Information Retrieval.

[43]  Thomas Roelleke,et al.  TF-IDF uncovered: a study of theories and probabilities , 2008, SIGIR '08.

[44]  Thorsten Joachims,et al.  Detecting Concept Drift with Support Vector Machines , 2000, ICML.

[45]  W. Bruce Croft,et al.  Combining the language model and inference network approaches to retrieval , 2004, Inf. Process. Manag..

[46]  Abraham Bookstein,et al.  Fuzzy requests: An approach to weighted boolean searches , 1980, J. Am. Soc. Inf. Sci..