Ayman O. Farahat - San Francisco CA, US Francine R. Chen - Menlo Park CA, US Charles R. Mathis - Stanford CA, US Geoffrey D. Nunberg - San Francisco CA, US
Assignee:
Xerox Corporation - Stamford CT
International Classification:
G06F 17/00
US Classification:
707101, 707 3, 707 10, 707102, 707103 Y, 7071041
Abstract:
Systems and methods for determining the authoritativeness of a document based on textual, non-topical cues. The authoritativeness of a document is determined by evaluating a set of document content features contained within each document to determine a set of document content feature values, processing the set of document content feature values through a trained document textual authority model, and determining a textual authoritativeness value and/or textual authority class for each document evaluated using the predictive models included in the trained document textual authority model. Estimates of a document's textual authoritativeness value and/or textual authority class can be used to re-rank documents previously retrieved by a search, to expand and improve document query searches, to provide a more complete and robust determination of a document's authoritativeness, and to improve the aggregation of rank-ordered lists with numerically-ordered lists.
Systems And Methods For Authoritativeness Grading, Estimation And Sorting Of Documents In Large Heterogeneous Document Collections
Ayman Farahat - San Francisco CA, US Francine Chen - Menlo Park CA, US Charles Mathis - Stanford CA, US Geoffrey Nunberg - San Francisco CA, US
Assignee:
XEROX CORPORATION - Stamford CT
International Classification:
G06F017/00
US Classification:
715/513000
Abstract:
Systems and methods for determining the authoritativeness of a document based on textual, non-topical cues. The authoritativeness of a document is determined by evaluating a set of document content features contained within each document to determine a set of document content feature values, processing the set of document content feature values through a trained document textual authority model, and determining a textual authoritativeness value and/or textual authority class for each document evaluated using the predictive models included in the trained document textual authority model. Estimates of a document's textual authoritativeness value and/or textual authority class can be used to re-rank documents previously retrieved by a search, to expand and improve document query searches, to provide a more complete and robust determination of a document's authoritativeness, and to improve the aggregation of ran-ordered lists with numerically-ordered lists.
Systems And Methods For Authoritativeness Grading, Estimation And Sorting Of Documents In Large Heterogeneous Document Collections
Ayman Farahat - San Francisco CA, US Francine Chen - Menlo Park CA, US Charles Mathis - Stanford CA, US Geoffrey Nunberg - San Francisco CA, US
Assignee:
XEROX CORPORATION - Stamford CT
International Classification:
G06F015/00
US Classification:
715/500000, 707/001000
Abstract:
Systems and methods for determining the authoritativeness of a document based on textual, non-topical cues. The authoritativeness of a document is determined by evaluating a set of document content features contained within each document to determine a set of document content feature values, processing the set of document content feature values through a trained document textual authority model, and determining a textual authoritativeness value and/or textual authority class for each document evaluated using the predictive models included in the trained document textual authority model. Estimates of a document's textual authoritativeness value and/or textual authority class can be used to re-rank documents previously retrieved by a search, to expand and improve document query searches, to provide a more complete and robust determination of a document's authoritativeness, and to improve the aggregation of rank-ordered lists with numerically-ordered lists.
Live Oak Health Partners 1340 Wonder World Dr STE 4301, San Marcos, TX 78666 5123536400 (phone), 5123533039 (fax)
Live Oak Health Partners 2001 Medical Pkwy STE C, San Marcos, TX 78666 5123963545 (phone), 5123533039 (fax)
Education:
Medical School University of Texas Medical School at Houston Graduated: 1991
Procedures:
Destruction of Lesions on the Anus Endoscopic Retrograde Cholangiopancreatography (ERCP) Gallbladder Removal Hallux Valgus Repair Appendectomy Breast Biopsy Hernia Repair Laparoscopic Appendectomy Laparoscopic Gallbladder Removal Mastectomy Pilonidal Cyst Excision Small Bowel Resection
Conditions:
Breast Disorders Cholelethiasis or Cholecystitis Abdominal Hernia Benign Neoplasm of Breast Hemorrhoids
Languages:
English Spanish
Description:
Dr. Mathis graduated from the University of Texas Medical School at Houston in 1991. He works in San Marcos, TX and 1 other location and specializes in General Surgery. Dr. Mathis is affiliated with Central Texas Medical Center.
Dr. Mathis graduated from the Indiana University School of Medicine in 1986. He works in Elkhart, IN and specializes in Cardiovascular Disease. Dr. Mathis is affiliated with Elkhart General Hospital.
Charles H Mathis MD 975 Hopkinsville Rd, Russellville, KY 42276 2707259090 (phone)
Education:
Medical School University of Tennessee College of Medicine at Memphis Graduated: 1960
Languages:
English
Description:
Dr. Mathis graduated from the University of Tennessee College of Medicine at Memphis in 1960. He works in Russellville, KY and specializes in Family Medicine. Dr. Mathis is affiliated with Logan Memorial Hospital.