Predicting candidates using information sources

Details Predicting candidates using information sources Predicting candidates using information sources

2011-05-31

2011-05-31

Vincent, David R (Department: 2129)

Data processing: artificial intelligence

Knowledge processing system

Knowledge representation and reasoning technique

C706S018000, C706S021000

Reexamination Certificate

active

07953692

ABSTRACT:
Embodiments are configured to provide one or more candidates based in part on an input. In an embodiment, a system includes a prediction engine which can be configured to provide one or more ranked candidates using one or more configurable data sources and/or candidate providers. Each data source can be configured to include a candidate provider to predict and return predicted candidates. The prediction engine can use a predicted candidate to rank and return a ranked candidate to a user interface, process, or other application. In one embodiment, a computing device can include and use a prediction engine which can use a customized ranking component to rank and return ranked candidates based in part on a query type. The customized ranking component can use predicted candidates provided by one or more data sources and/or candidate providers when making a ranking determination.

REFERENCES:
patent: 5805911 (1998-09-01), Miller
patent: 5952942 (1999-09-01), Balakrishnan
patent: 6011554 (2000-01-01), King
patent: 6392640 (2002-05-01), Will
patent: 6973332 (2005-12-01), Mirkin
patent: 7155683 (2006-12-01), Williams
patent: 2002/0032511 (2002-03-01), Murakami et al.
patent: 2006/0156233 (2006-07-01), Nurmi
patent: 2006/0206816 (2006-09-01), Nordenhake
patent: 2006/0221060 (2006-10-01), Fux
patent: 2007/0040813 (2007-02-01), Kushler
patent: 2007/0061301 (2007-03-01), Ramer
Culotta et al. , “Confidence Estimation for Information Extraction”, Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics (HLT/NAACL), Boston, MA, 2004.
Chen et al. (Chen), “User Intention Modeling inWeb Applications Using Data Mining”, World Wide Web: Internet and Web Information Systems, 5, 181-191, 2002.
Culotta et al., Corrective Feedback and Persistent Learning for Information Extraction, Jul. 28, 2006.
Stocky, et al., “A Commonsense Approach to Predictive Text Entry”, MIT Media Laboratory, 20 Ames St., Bldg E15, Cambridge, MA 02139, CHI 2004, Apr. 24-29, http://delivery.acm.org/10.1145/990000/986014/p1163-stocky.pdf?key1=986014&key2=2354654811&coll=GUIDE&d1=GUIDE&CFID=28525507&CFTOKEN=49768916, pp. 1163-1166, (4 pages).

Affiliated with

Also associated with

Rating

Predicting candidates using information sources does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Predicting candidates using information sources, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Predicting candidates using information sources will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-2664634