Information retrieval system

Details Information retrieval system Information retrieval system

2007-01-09

2007-01-09

Pardo, Thuy N. (Department: 2165)

Data processing: database and file management or data structures

Database design

Data structure types

C707S793000, C707S793000, C707S793000, C707S793000, C707S793000

Reexamination Certificate

active

10095821

ABSTRACT:
Methods and systems consistent with the present invention provide an improved IR system that performs information retrieval by using probabilities. When performing information retrieval, the improved IR system utilizes both the prior probability that a document is relevant independent of the query as well as the probability that the query was generated by a particular document given that the particular document is relevant. By using these probabilities, the improved IR system retrieves documents in a more accurate manner than conventional systems which are based on an ad hoc approach.

REFERENCES:
patent: 5488725 (1996-01-01), Turtle et al.
patent: 5594897 (1997-01-01), Goffman
patent: 5696964 (1997-12-01), Cox et al.
patent: 5704017 (1997-12-01), Heckerman et al.
patent: 5748852 (1998-05-01), Mahler
patent: 5822731 (1998-10-01), Schultz
patent: 5905980 (1999-05-01), Masuichi et al.
patent: 5930803 (1999-07-01), Becker et al.
patent: 5950189 (1999-09-01), Cohen et al.
patent: 6233570 (2001-05-01), Horvitz et al.
patent: 6460049 (2002-10-01), Becker et al.
patent: 6807537 (2004-10-01), Thiesson et al.
Jaing et al., “Sequential Bayesian learning of CDHMM based on finite mixture approximation prior/posterior density”, IEEE, 1997, pp. 373-380.
Turtle, H. et al. Inference Networks for Document Retrieval. 24 pages. SIGR (1990).
Singhal, A. et al. Pivoted Document Length Normalization. 19th ACM Conference on Research & Development in Information Retrieval. pp. 1-9. SIGR (1996).
Kraaij, W. et al. The Importance of Prior Probabilities for Entry Page Search. in Proceedings of SIGIR'02. pp. 27-34. SIGR (2002).
Stolcke, A. et al. Inducing Probabilistic Grammars by Bayesian Model Merging. International Conference on Grammatical Inference. 13 pgs. (1994).
Cox, I.J. et al. Target Testing and the PicHunter Bayesian Multimedia Retrieval System. Advanced Digital Libraries ADL'96 Forum, Washington DC. 10 pgs. (1996).
Hiemstra, D. et al. Twenty-One at TREC-7: Ad-hoc and Cross-language track. Proceedings, 7th Text Revival Conference TREC-7, pp. 227-238, Gaithersburg, MD (1999).

Affiliated with

Also associated with

Rating

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

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-3801532