Information retrieval engine

Data processing: database and file management or data structures – Database design – Data structure types

Reexamination Certificate

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

C084S645000

Reexamination Certificate

active

10167807

ABSTRACT:
A system, method, and computer program product retrieve information associated with the signals. The information retrieval can be performed on a signal by quantizing the signal, forming words, and indexing based on weights of the words. The words are formed by grouping letters together to form a number of words within predetermined threshold values. The weights of the words are determined using a binomial log likelihood ratio analysis. The present invention may be applied to identification of an unknown song.

REFERENCES:
patent: 3568156 (1971-03-01), Thompson
patent: 4384329 (1983-05-01), Rosenbaum et al.
patent: 5182708 (1993-01-01), Ejiri
patent: 5241674 (1993-08-01), Kuorsawa et al.
patent: 5303150 (1994-04-01), Kameda
patent: 5371807 (1994-12-01), Register et al.
patent: 5392212 (1995-02-01), Geist
patent: 5497488 (1996-03-01), Akizawa et al.
patent: 5548507 (1996-08-01), Martino et al.
patent: 5608622 (1997-03-01), Church
patent: 5678054 (1997-10-01), Shibata
patent: 5713016 (1998-01-01), Hill
patent: 5754938 (1998-05-01), Herz et al.
patent: 5774357 (1998-06-01), Hoffberg et al.
patent: 5883986 (1999-03-01), Kopec et al.
patent: 6009382 (1999-12-01), Martino et al.
patent: 6038527 (2000-03-01), Renz
patent: 6047251 (2000-04-01), Pon et al.
patent: 6105022 (2000-08-01), Takahashi et al.
patent: 6131082 (2000-10-01), Hargrave, III et al.
patent: 6134532 (2000-10-01), Lazarus et al.
patent: 6167369 (2000-12-01), Schulze
patent: 6185560 (2001-02-01), Young et al.
patent: 6225546 (2001-05-01), Kraft et al.
patent: 6252988 (2001-06-01), Ho
patent: 6272495 (2001-08-01), Hetherington
patent: 6292795 (2001-09-01), Peters et al.
patent: 6321205 (2001-11-01), Eder
patent: 6370513 (2002-04-01), Kolawa et al.
patent: 6430539 (2002-08-01), Lazarus et al.
patent: 6438579 (2002-08-01), Hosken
patent: 6526411 (2003-02-01), Ward
patent: 6614914 (2003-09-01), Rhoads et al.
patent: 6615208 (2003-09-01), Behrens et al.
patent: 6655963 (2003-12-01), Horvitz et al.
patent: 6657117 (2003-12-01), Weare et al.
patent: 6658151 (2003-12-01), Lee et al.
patent: 2002/0010714 (2002-01-01), Hetherington
patent: 2002/0065857 (2002-05-01), Michalewicz et al.
patent: 2002/0152204 (2002-10-01), Ortega et al.
patent: 2003/0007507 (2003-01-01), Rajwan et al.
patent: 1 050 833 (2000-11-01), None
Agosti, M., Gradenigo, G., Marchetti, P.G., “A Hypertext Environment for Interacting with Large Textual Databases,” pp. 469-477.
Belkin, N. J., Oddy, R.N., Brooks, H. M., “The Journal of Documentation”, vol. 38, No. 2, Jun. 1982, pp. 299-304.
de Marcken, Carl, “The Unsupervised Acquisition of a Lexicon from Continuous Speech,” Massachusetts Institute of Technology Artificial Intelligence Laboratory; Center for Biological and Computational Learning, Department of Brain and Cognitive Sciences, A.I. Memo No. 1558 and C.B.C.L. Memo No. 129, Nov. 2001, pp. 1-27.
Griffiths, Alan, Luckhurst, H. Claire and Willett, Peter, “Using Interdocument Similarity Information in Document Retrieval Systems”, Jul. 10, 1985, pp. 365-373.
Hull, David A. and Grefenstette, Gregory, “Query Across Languages: A Dictionary-Based Approach to Multilingual Information Retrieval,” pp. 484-492.
Jones, K. Sparck, Jones, G.J.F., Foote, J.T. and Young, S.J., “Experiments in Spoken Document Retrieval,” pp. 493-502.
Jones, Karen Sparck, “Search Term Relevance Weighting Given Little Relevance Information,” revised version received Jan. 14, 1979, pp. 329-338.
Jones, Karen Sparck, “Readings in Information Retrieval,” Morgan Kaufmann Publishers, Inc., 1997, pp. 25-110.
Keen, E. Michael, “Presenting Results of Experimental Retrieval Comparisons,” Department of Information & Library Studies, University College of Wales, Aberystwyth, SY23 3AS, U.K., pp. 217-222.
Lancaster, F.W., “MEDLARS: Report on the Evaluation of Its Operating Efficiency,” pp. 223-246.
McCune, Brian P., Tong, Richard M., Dean, Jeffrey S. and Shapiro, Daniel G., “RUBRIC: A System for Rule-Based Information Retrieval,” pp. 440-445.
“Mel-Frequency Cepstral Analysis,” [online] [retrieved on Feb. 2, 2001] Retrieved from the Internet <URL: http://ccrma-www.stanford.edu/˜unjung/mylec/mfcc.html>, pp. 1-3.
Rau, Lisa F., “Conceptual Information Extraction and Retrieval from Natural Language Input,” Artificial Intelligence Program GE Research and Development Center, Schenectady, NY 12301, pp. 527-533.
Robertson, S.E., “The Probability Ranking Principle in IR,” received Jul. 12, 1977, pp. 281-286.
Robertson, S.E. and Walker, S, “Some Simple Effective Approximations to the 2-Poisson Model for Probabilistic Weighted Retrieval,” pp. 345-354.
Salton, G and McGill, M.J., “The SMART and SIRE Experimental Retrieval Systems,” pp. 381-399.
Salton, G., Wong, A. and Yang, C.S., “A Vector Space Model for Automatic Indexing,” revised Mar. 1975, pp. 273-280.
Salton, Gerard, Allan, James, Buckley , Singhai, Amit, “Automatic Analysis, Theme Generation, and Summarization of Machine-Readable Texts,” pp. 478-483.
Salton, Gerard and Buckley, Christopher, “Term-Weighting Approaches in Automatic Text Retrieval,” accepted in final form Jan. 26, 1988, pp. 323-328.
Salton, Gerard and McGill, Michael J., “Introduction to Modern Information Retrieval,” Computer Science Series, McGraw-Hill, Inc., 1983, pp. 1-23. 52-156, 199-302, 354-435.
Strzalkowski, Tomek, “Robust Text Processing in Automated Information Retrieval,” pp. 317-322.
Tague-Sutcliffe, Jean, “The Pragmatics of Information Retrieval Experimentation, Revisited,” pp. 205-222.
van Rijsbergen, C. J., “Information Retrieval,” [online], 1979 [retrieved on Aug. 24, 2001] Retrieved from the Internet <URL: http://www.dcs.gla.ac.uk/Keith/Preface.html>.
Witten, Ian H. and Frank, Eibe, “Data Mining, Practical Machine Learning Tools and Techniques with JAVA Implementations,” Academic Press, pp. 57-76.
Hayes, Conor et al., Smart Radio—A Proposal, Technical Report TCD-CS-1999-24, Online! Apr. 1999 , pp. 1-14, XP002279579, Trinity College Dublin, Ireland, Retrieved from the Internet: <URL:http://www.cs.tcd.ie/publications/tech-reports/reports.99/TCD-CS-1999-24.pdf>, retrieved on May 7, 2004.
Hoffman, Thomas et al., Latent Class Models For Collaborative Filtering, Proceedings Of The Sixteenth International Joint Conference On Artificial Intelligence, IJCAI 99, Stockholm, Sweden, Jul. 31-Aug. 6, 1999, Online! pp. 688-693, XP002279578, Retrieved from the Internet: <URL:http://www.cs.brown.edu/(th/papers/HofmannPuzicha-IJCAI99.pdf>, retrieved on May 7, 2004.
Loeb, Shoshana, Architecting Personalized Delivery Of Multimedia Information, Communications Of The ACM, vol. 25, No. 12, Dec. 1992, pp. 39-50, XP002102709.
Nichols, David M. et al., Recommendation And Usage In The Digital Library, Technical Report Ref. CSEG/2/1997, Online! 1997, pp. 1-15, XP002279577, Retrieved from the Internet: <URL:ftp://ftp.comp.lancs.ac.uk/pub/reports/1997/CSEG.2.97.pdf>, retrieved on May 7, 2004.
Schafer, J. Ben et al., Recommender Systems In E-Commerce, Proceedings ACM Conference On Electronic Commerce, 1999, pp. 158-166, XP002199598.

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Information retrieval engine does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Information retrieval engine, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Information retrieval engine will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-3727853

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.