Copulas for information retrieval

SIGIR 2013 - Proceedings of the 36th International ACM SIGIR Conference on Research and Development in Information Retrieval

Volumn , Issue , 2013, Pages 663-672

  Eickhoff, Carsten ^a   De Vries, Arjen P ^b   Collins Thompson, Kevyn ^c  

^a DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

^b CWI   (Netherlands)

^c MICROSOFT RESEARCH   (United States)

Author keywords

Data fusion; Multivariate relevance; Probabilistic framework; Ranking; Relevance models

Indexed keywords

LEARNING METHODS; MULTI-DIMENSIONAL RELEVANCE; MULTIVARIATE RELEVANCE; PROBABILISTIC FRAMEWORK; QUALITY CRITERIA; RANKING; RELEVANCE MODELS; STATISTICAL FRAMEWORK;

DATA FUSION; DISTRIBUTION FUNCTIONS; ESTIMATION; SEARCH ENGINES;

INFORMATION RETRIEVAL;

EID: 84883125023     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2484028.2484066     Document Type: Conference Paper

References (52)

1. Alias-i. LingPipe 3.9.2. http://alias-i.com/lingpipe, 2013.
2. M. Ames and M. Naaman. Why we tag: motivations for annotation in mobile and online media. In SIGCHI 2007. ACM.
3. TW Anderson and D.A. Darling. A test of goodness of fit. Journal of the American Statistical Association, 49, 1954.
4. Avi Arampatzis and Stephen Robertson. Modeling score distributions in information retrieval. Information Retrieval, 2011.
5. J.A. Aslam and M. Montague. Bayes optimal metasearch: a probabilistic model for combining the results of multiple retrieval systems (poster session). In Proceedings of SIGIR 2000, pages 379-381. ACM.
6. K. Balog, L. Azzopardi, and M. de Rijke. Formal models for expert finding in enterprise corpora. In Proceedings of SIGIR 2006, pages 43-50. ACM.
7. G. Bordogna and G. Pasi. A model for a SOft Fusion of Information Accesses on the web. Fuzzy Sets and Systems, 148(1):105-118, 2004.
8. P. Borlund. The concept of relevance in IR. JASIST, 2003.
9. J.P. Bouchaud and M. Potters. Theory of financial risk and derivative pricing: from statistical physics to risk management. Cambridge University Press, 2003.
10. C. Burges, T. Shaked, E. Renshaw, A. Lazier, M. Deeds, N. Hamilton, and G. Hullender. Learning to rank using gradient descent. In ICML, pages 89-96. ACM, 2005.
11. A. Charpentier, J.D. Fermanian, and O. Scaillet. The estimation of copulas: Theory and practice. Copulas: From theory to Application in Finance. Risk Publications, 2007.
12. K. Collins-Thompson, P.N. Bennett, R.W. White, S. de la Chica, and D. Sontag. Personalizing web search results by reading level. In CIKM 2011. ACM.
13. N. Craswell, S. Robertson, H. Zaragoza, and M. Taylor. Relevance weighting for query independent evidence. In Proceedings of SIGIR 2005, pages 416-423. ACM.
14. Ronan Cummins. Measuring the ability of score distributions to model relevance. In Information Retrieval Technology. Springer, 2011.
15. C. da Costa Pereira, M. Dragoni, and G. Pasi. Multidimensional relevance: A new aggregation criterion. ECIR 2009.
16. A. Druin, E. Foss, L. Hatley, E. Golub, M.L. Guha, J. Fails, and H. Hutchinson. How children search the internet with keyword interfaces. In Proceedings of the 8th International Conference on Interaction Design and Children, pages 89-96. ACM, 2009.
17. C. Eickhoff, P. Serdyukov, and A.P. de Vries. A combined topical/non-topical approach to identifying web sites for children. In WSDM 2011. ACM.
18. P. Embrechts, F. Lindskog, and A. McNeil. Modelling dependence with copulas and applications to risk management. Handbook of heavy tailed distributions in finance, 8(329-384):1, 2003.
19. E. Fox and J. Shaw. Combination of multiple searches. NIST Special Pub., 1994.
20. E.W. Frees and E.A. Valdez. Understanding relationships using copulas. North American actuarial journal, 2(1), 1998.
21. S. Gerani, C.X. Zhai, and F. Crestani. Score transformation in linear combination for multi-criteria relevance ranking. ECIR 2012.
22. S.P. Harter. Psychological relevance and information science. JASIS, 43(9):602-615, 1992.
23. W. Höffding. Scale-invariant correlation theory. Schriften des Mathematischen Instituts und des Instituts fur Angewandte Mathematik der Universität Berlin, 5(3):181-233, 1940.
24. X. Huang and W.B. Croft. A unified relevance model for opinion retrieval. In Proceeding of CIKM 2009, pages 947-956. ACM.
25. Evangelos Kanoulas, Keshi Dai, Virgil Pavlu, and Javed A Aslam. Score distribution models: assumptions, intuition, and robustness to score manipulation. In SIGIR 2010. ACM.
26. J.M. Kleinberg. Authoritative sources in a hyperlinked environment. Journal of the ACM (JACM), 46(5):604-632, 1999.
27. W. Kraaij, T. Westerveld, and D. Hiemstra. The importance of prior probabilities for entry page search. In SIGIR. ACM, 2002.
28. V. Lavrenko and W.B. Croft. Relevance based language models. In Proceedings of SIGIR 2001, pages 120-127. ACM.
29. V. Lavrenko and W.B. Croft. Relevance models in information retrieval. Language modeling for information retrieval, pages 11-56, 2003.
30. T.Y. Liu. Learning to rank for information retrieval. Foundations and Trends in Information Retrieval, 2009.
31. W. Lu, S. Robertson, and A. MacFarlane. Field-weighted xml retrieval based on bm25. Advances in XML Information Retrieval and Evaluation, pages 161-171, 2006.
32. C. Macdonald, R.L.T. Santos, I. Ounis, and I. Soboroff. Blog track research at trec. In SIGIR Forum 2010. ACM.
33. R. Manmatha, Toni M. Rath, and Fangfang Feng. Modeling score distributions for combining the outputs of search engines. In SIGIR 2001.
34. S. Mizzaro. Relevance: The whole history. JASIS, 1997.
35. M. Montague and J.A. Aslam. Condorcet fusion for improved retrieval. In Proceedings of CIKM 2002, pages 538-548. ACM.
36. M. Montague and J.A. Aslam. Relevance score normalization for metasearch. In CIKM 2001. ACM.
37. A. Onken, S. Grünewälder, M.H.J. Munk, and K. Obermayer. Analyzing short-term noise dependencies of spike-counts in macaque prefrontal cortex using copulas and the flashlight transformation. PLoS computational biology, 5(11):e1000577, 2009.
38. M. Persin, J. Zobel, and R. Sacks-Davis. Filtered document retrieval with frequency-sorted indexes. JASIS, 47(10):749-764, 1996.
39. J.M. Ponte and W.B. Croft. A language modeling approach to information retrieval. In Proceedings of SIGIR 1998, pages 275-281. ACM.
40. F. Radlinski and T. Joachims. Query chains: learning to rank from implicit feedback. In SIGKDD, pages 239-248. ACM, 2005.
41. B. Renard and M. Lang. Use of a gaussian copula for multivariate extreme value analysis: Some case studies in hydrology. Advances in Water Resources, 30(4):897-912, 2007.
42. S. Robertson, H. Zaragoza, and M. Taylor. Simple BM25 extension to multiple weighted fields. In CIKM 2004.
43. S.E. Robertson, S. Walker, M.M. Hancock-Beaulieu, and M. Gatford. Okapi at TREC-3. Gaithersburgh, MD, 1994.
44. T. Saracevic. Relevance reconsidered. In Conference on Conceptions of Library and Information Science, 1996.
45. L. Schamber, M.B. Eisenberg, and M.S. Nilan. A re-examination of relevance: toward a dynamic, situational definition. IPM, 26(6):755-776, 1990.
46. T. Schmidt. Coping with copulas. Risk Books: Copulas from Theory to Applications in Finance, 2007.
47. C. Schoelzel, P. Friederichs, et al Multivariate non-normally distributed random variables in climate research-introduction to the copula approach. Nonlin. Processes Geophys., 15(5):761-772, 2008.
48. A. Sklar. Fonctions de répartition à n dimensions et leurs marges. Publ. Inst. Statist. Univ. Paris, 8(1):11, 1959.
49. T. Tsikrika and M. Lalmas. Combining evidence for relevance criteria: a framework and experiments in web retrieval. ECIR 2007.
50. D. Vallet and P. Castells. Personalized diversification of search results. In SIGIR 2012. ACM.
51. C.C. Vogt and G.W. Cottrell. Fusion via a linear combination of scores. Information Retrieval, 1(3):151-173, 1999.
52. S. Wu and F. Crestani. Data fusion with estimated weights. In CIKM 2002. ACM.