Bradley P. Allen - Manhattan Beach CA, US Cormac Tworney - Marina Del Rey CA, US John B. Jensen - Hermosa Beach CA, US
Assignee:
Bpallen Technologies LLC - Los Angeles CA
International Classification:
G06F 17/30
US Classification:
707 5, 707 4, 707 10
Abstract:
One embodiment of the present invention provides a system that uses faceted metadata to facilitate navigation through information resources. During operation, the system receives a query from a client at a server. The system then performs the query on metadata, wherein the metadata contains facets that describe characteristics of the information resources. While performing the query, the system generates results that identify information resources that satisfy the query. Next, the system constructs a response containing the results, the query, and suggestions on how to refine the query. The system then sends the response to the client, thereby allowing the client to refine the query. In this way, the client and server can work together in a stateless manner to refine the query without having to maintain state information about the query on the server.
Method And Apparatus For Providing A Personalization Service Across A Network
BRADLEY P. ALLEN - MANHATTAN BEACH CA, US JOHN B. JENSEN - HERMOSA BEACH CA, US JEFFREY M. GREIF - VENICE CA, US LAWRENCE POYNTER - MARINA DEL REY CA, US
International Classification:
G06F015/16
US Classification:
709/203000, 709/217000, 709/229000
Abstract:
One embodiment of the present invention provides a system for producing personalized web site content to be presented to a user of a content provider web site based upon information gathered regarding the user. The system operates by receiving data sent from a remote browser to a personalization server. This data is sent by a web page on the remote browser and includes an identifier for the user. This web page was previously sent from the content provider web site to the remote browser while the remote browser was navigating through the content provider web site. The personalization server uses the identifier to look up information related to the user in a database associated with the personalization server. This information is used to produce personalized web site content for the user based upon the interests of the user. For example, personalized web site content can include hypertext markup language (HTML) code, images or navigational options to other web locations. Next, the system sends personalized web site content from the personalization server to the remote browser so that the personalized web site content can be presented to the user.
Selecting Web Site Content To Be Displayed To A Web Site Visitor Based Upon A Probability Distribution
One embodiment of the present invention provides a system dynamically selects a content option from a plurality of content options in order to display the content option to a user who is browsing through a web site. The system operates by receiving a request for content from a web browser that is being operated by the user. In response to this request, the system calculates a probability distribution across the plurality of content options that can be sent to the web browser, and then selects the content option at random from the plurality of content options based upon the calculated probability distribution. Next, the system sends the selected content option to the web browser and then allows the web browser to display the selected content option to the user of the web browser. The system then receives a response to the selected content option from the user of the web browser, and uses this response to update a future probability distribution across the plurality of content options.
A software agent which performs autonomous learning in a real-world environment, implemented in a case-based reasoning system and coupled to a sensor for gathering information from, and to an effector for manipulating, its environment. A case base which is tuned in response to an evaluation of how well the agent is operating in that environment. A memory of cases, the contents of that memory being determined by a genetic technique, including producing new cases which may never have been encountered in the environment, evaluating cases in response to a history of previous matches and in response to an external stimulus, and selecting a limited set of cases which provides a preferred model of the environment. A selection technique based on multiple measures, such as match quality, case accuracy, or case utility, which may induce experimentation by the autonomous agent, such as by employing a random or pseudorandom effect in selecting cases, and which may also distinguish between those actions which solve problems and those actions which gather further information so as to better solve problems. Multiple autonomous agents may form a collective entity and may cooperate to select an action to be performed by that collective entity.
Bradley P. Allen - Hermosa Beach CA S. Daniel Lee - San Gabriel CA
Assignee:
Inference Corporation - Novato CA
International Classification:
G06F 1518
US Classification:
395 51
Abstract:
A case-based reasoning system which is smoothly integrated into a rule-based reasoning system, thus coordinating case-based reasoning techniques and rule-based reasoning techniques in a unified automated reasoning system, in which an automated processor may proceed by inferential reasoning on the facts of the problem and the cases by means of rule-based reasoning techniques or based on procedural directives supplied by a human programmer, and may select the case which is the best match for the problem, but may act differently from the precise action prescribed for that case. A technique for dynamically adapting the case base to the problems which the automated reasoning system encounters, in which the processor may create additional cases which may exemplify the problem or which may be useful for future problems, or may remove cases from the case base which it determines from experience are poor or obsolete. A technique in which the processor may be set to work with a limited case base, and may solicit human advice for treatment of new problems which are not already well-treated by the case base.
A software agent which performs autonomous learning in a real-world environment, implemented in a case-based reasoning system and coupled to a sensor for gathering information from, and to an effector for manipulating, its environment. A case base which is tuned in response to an evaluation of how well the agent is operating in that environment. A memory of cases, the contents of that memory being determined by a genetic technique, including producing new cases which may never have been encountered in the environment, evaluating cases in response to a history of previous matches and in response to an external stimulus, and selecting a limited set of cases which provides a preferred model of the environment. A selection technique based on multiple measures, such as match quality, case accuracy, or case utility, which may induce experimentation by the autonomous agent, such as by employing a random or pseudorandom effect in selecting cases, and which may also distinguish between those actions which solve problems and those actions which gather further information so as to better solve problems. Multiple autonomous agents may form a collective entity and may cooperate to select an action to be performed by that collective entity.
Bradley P. Allen - Manhattan Beach CA Jeffrey M. Greif - Venice CA David L. Adam - San Francisco CA John B. Jensen - Hermosa Beach CA Michael W. Lo - Marina Del Rey CA Cormac Twomey - Marina Del Rey CA
Assignee:
Trivada Corporation - Culver City CA
International Classification:
G06F 1700
US Classification:
707 6
Abstract:
One embodiment of the present invention provides a system for making predictions about data records from an incoming stream of data records. This system operates by discovering predictive relationships in an online manner between fields in records in the incoming stream of data records as the incoming stream of data records is received. These predictive relationships can used to predict values in fields based on other field values in the same record. This facilitates cleansing of data by allowing transaction values to be validated based upon predictions made from other field values in the same transaction record. It also allows missing field values to be predicted based upon the other field values. A variation of this embodiment provides for filtering transaction records based upon discovered predictive relationships and routing the transaction records to other servers in real-time. Another embodiment forms association rules between fields in records in the incoming stream of records, and outputs these association rules for viewing by a human decision-maker.
Medicine Doctors
Dr. Bradley S Allen, Los Angeles CA - MD (Doctor of Medicine)
10398 W Sunset Blvd, Los Angeles, CA 90077 (310)2760004 (Phone), (310)2730818 (Fax)
Certifications:
General Surgery, 1989 Thoracic Cardiovascular Surgery, 2001
Awards:
Healthgrades Honor Roll
Languages:
English
Education:
Medical School Rosalind Franklin University of Medicine and Science / Chicago Medical School Graduated: 1981 Medical School UCLA Hosp Graduated: 1981 Medical School Hosp For Sick Chldn Graduated: 1981
Dean Clinic 705 S University Ave STE 510, Beaver Dam, WI 53916 (920)3569288 (phone), (920)8858565 (fax)
Education:
Medical School University of Arizona College of Medicine at Tucson Graduated: 1991
Procedures:
Circumcision Wound Care Arthrocentesis Destruction of Benign/Premalignant Skin Lesions Electrocardiogram (EKG or ECG) Pulmonary Function Tests Skin Tags Removal Vaccine Administration
Conditions:
Acute Upper Respiratory Tract Infections Atrial Fibrillation and Atrial Flutter Bronchial Asthma Disorders of Lipoid Metabolism Gastroesophageal Reflux Disease (GERD)
Languages:
English Spanish
Description:
Dr. Allen graduated from the University of Arizona College of Medicine at Tucson in 1991. He works in Beaver Dam, WI and specializes in Family Medicine. Dr. Allen is affiliated with Beaver Dam Community Hospitals Inc.
Author Technology Researcher
Author: Proof of Concept? - It????????S About Docker
Ibm 2010 - 2013
Ww Operations Senior It Manager
Amd 1995 - 1998
Senior Technical Unix Systems Specialist
Mcc Microelectronics and Computer Technology Corporation 1985 - 1989
Senior Member of Technical Staff
Mcm Systems 1983 - 1985
Vice President of Software Development
Education:
The University of Texas at Austin
Skills:
Cloud Computing Enterprise Software Data Center Management Storage Disaster Recovery Program Management Saas Itil Software Development Enterprise Architecture Networking Integration Unix Troubleshooting Strategy Aix Leadership Solaris Infrastructure Sdlc It Service Management Virtualization Security Technical Support High Availability Pre Sales San Solution Architecture Requirements Analysis Project Management Outsourcing It Strategy Ibm Aix Mentoring Network Security Project Planning Iaas It Operations Storage Area Networks Start Ups Vmware Cross Functional Team Leadership Paas Cloud Storage Hardware Docker Software As A Service
Covert Cadillac GMC Buick - Austin Texas since Aug 2009
Sales Profssional
US Army - Austin, Texas Area since Aug 2009
Intel Analyst
US Army Apr 2007 - Sep 2009
Pneudraulic Technician
Education:
Allied American University 2011 - 2014
Associates, Business Administration
Skills:
Sales Customer Service Customer Satisfaction Account Management Automotive Sales Management Leadership Operations Management Management Vehicles Team Building Microsoft Office Automobile Marketing Budgets Business Development Automotive Sales Strategic Planning Training
Freelance website developer at Apiana.net (Self-employed), Substitute Teacher at Pajaro Valley Unified School District
Location:
Santa Cruz, California
Industry:
Media Production
Work:
Apiana.net - Santa Cruz, California since Jun 2008
Freelance website developer
Pajaro Valley Unified School District - Watsonville, California since Aug 2008
Substitute Teacher
Education:
University of California, Santa Cruz 2006 - 2008
Masters of Arts, Social Documentation: Website Development and Photography
University of California, Santa Cruz 2000 - 2002
Bachelor of Arts, Environmental Studies: Sustainable Agriculture and Globalization
Skills:
Teaching Wordpress Web Design Social Media Photography Food Service WordPress
Interests:
art, design, photography, nature, food, agriculture, and social justice.
Manhattan Beach, CA Hermosa Beach, CA Pittsburgh. PA Brussels, Belgium Devon, PA Centerport, NY Shaker Heights, OH Toledo, OH Ypsllanti, MI Carlisle, PA
A serial entrepreneur who builds and leads teams in the design, development, launch and operation of innovative Web businesses. Currently leading R&D at Elsevier, the world's largest publisher...
Bradley Allen
Lived:
Fontana, CA Los Angeles, CA Washington, DC
Education:
Chaffey College - Real Estate, Howard University - Sociology/Psychology, California State University, Dominguez Hills - General Studies
Bradley Allen
Work:
Citigroup
Education:
University of Texas at Dallas - Computer Science, Brigham Young University - Computer Science
Relationship:
Married
About:
Maintaining a Healthy Level of Weirdness Since 1987
Tagline:
Hacker slacker
Bradley Allen
Work:
Social Money - Software Developer
Education:
Iowa State University
Bradley Allen
Education:
Kings lynn academy - All subjects
Bradley Allen
Education:
William Byrd High School
Bradley Allen
Bradley Allen
Flickr
News
Pizza Hut Made 'Pie Tops,' With a Button on the Tongue to Order Pizza, for March Madness
According to court documents, Brewer swapped identification bracelets with another man, Bradley Allen, who was facing a lesser charge of possession of a controlled substance, a misdemeanor. Posing as Allen, Brewer was arraigned and then released Friday afternoon on his (or, rather, Allens) own reco
Court records indicate that before Brewer appeared before a judge, he swapped bracelets with Bradley Allen, who was charged with the misdemeanor offense of possessing PCP. Brewer apparently posed as Allen during an initial appearance and was released pending future court dates.