Preference judgements for relevance

Data processing: database and file management or data structures – Database and file access – Record – file – and data search and comparisons

Reexamination Certificate

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C707S723000, C707S748000

Reexamination Certificate

active

08069179

ABSTRACT:
The claimed subject matter provides a system that trains or evaluates ranking techniques by employing or obtaining relative preference judgments. The system can include mechanisms that retrieve a set of documents from a storage device, combine the set of documents with a query or judgment task received via an interface to form a comparative selection panel, and present the comparative selection panel for evaluation by an assessor. The system further requests the assessor to make a selection as to which document included in the set of documents and presented in the comparative selection panel most satisfies the query or judgment task, and thereafter produces a comparative assessment of the set of documents based on the selections elicited from the assessor and associated with the set of documents.

REFERENCES:
patent: 5535382 (1996-07-01), Ogawa
patent: 5808615 (1998-09-01), Hill et al.
patent: 6598058 (2003-07-01), Bird et al.
patent: 6766316 (2004-07-01), Caudill et al.
patent: 6829599 (2004-12-01), Chidlovskii
patent: 6886010 (2005-04-01), Kostoff
patent: 7111000 (2006-09-01), Wen et al.
patent: 7295967 (2007-11-01), Corman et al.
patent: 7647314 (2010-01-01), Sun et al.
patent: 7657507 (2010-02-01), Shi et al.
patent: 7685078 (2010-03-01), Chen et al.
patent: 2007/0073748 (2007-03-01), Barney
patent: 2007/0088695 (2007-04-01), Bleyendaal et al.
patent: 2007/0208730 (2007-09-01), Agichtein et al.
Chris Buckley, et al. Retrieval Evaluation with Incomplete Information. SIGIR'04, Jul. 25-29, 2004, Sheffield, South Yorkshire, UK. ACM 1-58113-881-04/04/0007. http:lldoi.acm.org110.114511008992.1009000. Last accessed 1125108, 8 pages.
J. Diez, et al. A Clustering Algorithm to Find Groups with Homogeneous Preferences h t tp://re sea rch. m ic ros oft. co m/-s d u m a is/SIGIR 2003/ExtendedAbstracts/BAHAMONDE—clustering—preferences.pdf.Last accessed Jan. 25, 2008, 4 pages. Last accessed Jan. 25, 2008, 4 pages.
Filip Radlinski, et al. Query Chains: Learn to Rank from Implicit Feedback, Research Track Paper, KDD'05, Aug. 21-24, 2005, Chicago, Illinois, USA. ACM 1-59593-135-X/05/0008. http://delivery.acm.org/10.1145/1090000/1081899/p239-radlinski.pdf?key1=1081899&key2=1504511021&coll=GUIDE&dl=GUIDE&CFID=51337974&CFTOKEN=47070968. Last accessed Jan. 25, 2008, 10 pages.
Filip Radlinski, et al. Evaluating the Robustness of Learning from Implicit Feedback. W4: Learning in Web Search, at the 22nd International Conference on Machine Learning, Bonn, Germany, 2005. http://www.cs.cornell.edu/People/tj/publications/radlinski—joachims—05b.pdf. Last accessed Jan. 25, 2008, 8 pages.
J. Diez, et al. A Clustering Algorithm to Find Groups with Homogeneous Preferences http://research.microsoft.com/˜sdumais/SIGIR2003/ExtendedAbstracts/BAHAMONDE—clustering—preferences.pdf. Last accessed Jan. 25, 2008, 4 pages.
T. Joachims, et al. Accurately Interpreting Clickthrough Data as Implicit Feedback, SIGIR'05, Aug. 15-19, 2005, Salvador, Brazil. ACM 1-59593-034-5/05/0008. http://www.cs.cornell.edu/People/tj/publications/joachims—etal—05a.pdf. Last accessed Jan. 25, 2008, 8 pages.
Ellen M. Voorhees. Evaluation by Highly Relevant Documents. SIGIR'01, Sep. 9-12, 2001, New Orleans, Louisiana, USA. ACM 1-58113-331-6/01/0009. http://www-ufrima.imag.fr/FORMATION/FILIERE/MASTER/SI/SiteMasterSI/Documents/MORI/p74-voorhees.pdf. Last accessed Jan. 25, 2008, 9 pages.
K. Jarvelin, et al. IR evaluation methods for retrieving highly relevant documents. Published in: Belkin, N.J., Ingwersen, P. and Leong, M.-K. (eds.) Proceedings of the 23rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. New York, NY: ACM, pp. 41-48. SIGIR 2000 7•00 Athens, Greece. ACM 1o58113-226-3/0010007. http://www.info.uta.fi/tutkimus/fire/archive/KJJKSIGIR00.pdf., Last accessed Jan. 25, 2008, 9 pages.
Ben Carterette, et al. Learning a Ranking from Pairwise Preferences, SIGIR'06, Aug. 6-10, 2006, Seattle, Washington, USA, ACM 1595933697/06/0008. http://ciir.cs.umass.edu/˜carteret/sigir06-poster.pdf. Last accessed Jan. 25, 2008, 2 pages.
Chris Burges, et al. Learning to Rank using Gradient Descent, Proceedings of the 22nd International Confer-ence on Machine Learning, Bonn, Germany, 2005. http://research.microsoft.com/˜cburges/papers/icml—ranking.pdf. Last accessed Jan. 25, 2008, 8 pages.
Brian Bartell, et al. Learning to Retrieve Information. In Current trends in connectionism: Proceedings of the Swedish Conference on Connectionism (LEA: Hillsdale, 1995), L. Niklasson and M. Boden, Eds. http://citeseer.ist.psu.edu/cache/papers/cs/44/http:zSzzSzwww-cse.ucsd.eduzSzuserszSzgaryzSzpubszSzsncc95.pdf/bartell95learning.pdf. Last accessed Jan. 25, 2008, 9 pages.
Stefano Mizzaro. Measuring the Agreement Among Relevance Judges, MIRA Conference, 1999 http://citeseer.ist.psu.edu/cache/papers/cs/20797/http:zSzzSzwww.dimi.uniud.itzSz˜mizzarozSzpaperszSzagreement-mira.pdf/mizzaro99measuring.pdf. Last accessed Jan. 25, 2008, 13 pages.
T. Joachims. Optimizing Search Engines using Clickthrough Data. SIGKDD 02 Edmonton, Alberta, Canada. ACM 158113567X/02/0007. http://www.cs.cornell.edu/people/tj/publications/joachims—02c.pdf. Last accessed Jan. 25, 2008, 10 pages.
Chris Buckley, et al. Retrieval Evaluation with Incomplete Information. SIGIR'04, Jul. 25-29, 2004, Sheffield, South Yorkshire, UK. ACM 1-58113-881-4/04/0007. http://doi.acm.org/10.1145/1008992.1009000. Last accessed Jan. 25, 2008, 8 pages.

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