Data processing: database and file management or data structures – Database and file access – Post processing of search results
Reexamination Certificate
2011-07-05
2011-07-05
Mofiz, Apu M (Department: 2161)
Data processing: database and file management or data structures
Database and file access
Post processing of search results
C707S722000, C706S012000, C706S014000
Reexamination Certificate
active
07974974
ABSTRACT:
Techniques to perform relative ranking for search results are described. An apparatus may include an enhanced search component operative to receive a search query and provide ranked search results responsive to the search query. The enhanced search component may comprise a resource search module operative to search for resources using multiple search terms from the search query, and output a set of resources having some or all of the search terms. The enhanced search component may also comprise a proximity generation module communicatively coupled to the resource search module, the proximity generation module operative to receive the set of resources, retrieve search term position information for each resource, and generate a proximity feature value based on the search term position information. The enhanced search component may further comprise a resource ranking module communicatively coupled to the resource search module and the proximity generation module, the resource ranking module to receive the proximity feature values, and rank the resources based in part on the proximity feature values. Other embodiments are described and claimed.
REFERENCES:
patent: 5619709 (1997-04-01), Caid et al.
patent: 5724571 (1998-03-01), Woods
patent: 5757983 (1998-05-01), Kawaguchi et al.
patent: 5761497 (1998-06-01), Holt et al.
patent: 5771378 (1998-06-01), Holt et al.
patent: 5870740 (1999-02-01), Rose et al.
patent: 5893092 (1999-04-01), Driscoll
patent: 6012053 (2000-01-01), Pant et al.
patent: 6018733 (2000-01-01), Kirsch et al.
patent: 6370525 (2002-04-01), Kaufman
patent: 6681219 (2004-01-01), Aref
patent: 6738764 (2004-05-01), Mao et al.
patent: 6859800 (2005-02-01), Roche et al.
patent: 6947920 (2005-09-01), Alpha
patent: 7143085 (2006-11-01), Brown et al.
patent: 7433893 (2008-10-01), Lowry
patent: 7761447 (2010-07-01), Brill et al.
patent: 2006/0031212 (2006-02-01), Edelmann et al.
patent: 2006/0224577 (2006-10-01), Hullender et al.
patent: 2006/0253439 (2006-11-01), Ren et al.
patent: 2006/0271524 (2006-11-01), Tanne et al.
patent: 2007/0208701 (2007-09-01), Sun et al.
patent: 2008/0082530 (2008-04-01), Grabowski et al.
patent: 2008/0243820 (2008-10-01), Chang et al.
Chirag Gupta, “Efficient K-Word Proximity Search”, Department of Electrical Engineering and Computer Science, Case Western Reserve, University, Jan. 2008, p. 1-71.
Tao et al, “An Exploration of Proximity Measures in Information Retrieval”, ACM, 2007.
Kunihiko Sadakane, “Fast Algorithm for k-word Proximity Search”, IEICE Trans. Fundamentals, vol. E84-A,, p. 312-319, 2001.
Clarke et al, “Relevance Ranking for one to three term queries”, Information Processing and Management 36, 2000.
Hawking et al, “Proximity Operators—So Near and Yet So Far”, Co-operative Research Centre for Advanced Computational Systems, Australian National University, 1995.
Rasolofo et al, “Term Proximity Scoring for Keyword-Based Retrieval Systems”, Universite de Neuchatel, Switzerland, 2003.
Beigbeder et al, “An Information Retrieval Model Using the Fuzzy Proximity Degree of Term Occurrences”, ACM, 2005.
Christof Monz, “Minimal Span Weighting Retrieval for Question Answering”, SIGIR 2004 Workshop.
Schenkel et al, “Efficient Text Proximity Search”, Spriger-Verlag Berlin Heidelberg, 2007.
Andreas Broschart, “Efficient Integration of Proximity for Text, Semi-Structured and Graph Retrieval”, Doctoral Consortium, Germany, 2007.
Stefan Buttcher et al, “Term Proximity Scoring for Ad-Hoc Retrieval on Very Large Text Collections”, School of Computer Science, University of Waterloo, Canada, p. 621-622, 2006.
Soumen Chakrabarti et al, “Optimizing Scoring Functions and Indexes for Proximity Search in Type-annotated Corpora”, IIT Bombay, 2006.
Roy Goldman, “Proximity Search in Databases”, Standford University, p. 1-24, 1998.
Zhao, et al., “Adapting Document Ranking to Users' Preferences using Click-through Data”, Proceedings of AIRS 2006, pp. 26-42.
Hu, “A Study on Question Answering System Using Integrated Retrieval Method”, Dated: Feb. 2006, pp. i-xiv, 1-112.
Knabe, et al., “Processing Search Queries in a Distributed Environment”, Conference on Information and Knowledge Management, Proceedings of the thirteenth ACM international conference on Information and knowledge management, Year of Publication: 2004, pp. 492-494.
Meyerzon Dmitriy
Robertson Stephen
Tankovich Vladimir
Taylor Michael
Le Hung D
Merchant & Gould P.C.
Microsoft Corporation
Mofiz Apu M
LandOfFree
Techniques to perform relative ranking for search results does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Techniques to perform relative ranking for search results, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Techniques to perform relative ranking for search results will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-2719156