Randall Fish resumes & CV records
Resumes
Randall S Fish, Age 4619447 Yuma St, Hayward, CA 94546
Randall Fish Phones & Addresses
19447 Yuma St, Castro Valley, CA 94546 (650) 799-8205
Hayward, CA
San Carlos, CA
Alameda, CA
21100 Gary Dr APT 205, Castro Valley, CA 94546 (510) 825-9552
Social networks
Randall S Fish
Linkedin
Work
Position:
Service Occupations
Education
Degree:
High school graduate or higher
Mentions for Randall S Fish
Publications & IP owners
Us Patents
Multi-Strategy Generation Of Product Recommendations
US Patent:
8244564, Aug 14, 2012
Filed:
Mar 31, 2009
Appl. No.:
12/415896
Inventors:
David Lee Selinger - Castro Valley CA, US
Michael James DeCourcey - Belmont CA, US
Randall Stuart Fish - Castro Valley CA, US
Bradley Ross Cerenzia - Seattle WA, US
Tyler David Kohn - San Francisco CA, US
Darren Erik Vengroff - Seattle WA, US
Michael James DeCourcey - Belmont CA, US
Randall Stuart Fish - Castro Valley CA, US
Bradley Ross Cerenzia - Seattle WA, US
Tyler David Kohn - San Francisco CA, US
Darren Erik Vengroff - Seattle WA, US
Assignee:
RichRelevance, Inc. - San Francisco CA
International Classification:
G06Q 40/00
US Classification:
705 711, 705 712
Abstract:
Techniques are described for dynamically generating recommendations for users, such as for products and other items. In at least some situations, the techniques include using multiple recommendation strategies, such as by aggregating recommendation results from multiple different recommendation strategies. Such recommendation strategies may have various forms, and may be based at least in part on data regarding prior interactions of numerous users with numerous items. In addition, information about current selections of a particular user may be gathered based at least in part on providing a GUI (“graphical user interface”) for display to the user that includes selectable information about numerous recommended items, and dynamically updating the displayed GUI with newly generated recommendations of items as the user makes selections of particular displayed recommended items (e. g. , newly generated recommendations that are similar to the selected items in one or more manners, or are otherwise related to the selected items).
Generation Of Product Recommendations Using A Dynamically Selected Strategy
US Patent:
2012031, Dec 6, 2012
Filed:
Aug 13, 2012
Appl. No.:
13/584611
Inventors:
David Lee Selinger - Castro Valley CA, US
Michael James DeCourcey - Belmont CA, US
Randall Stuart Fish - Castro Valley CA, US
Bradley Ross Cerenzia - Seattle WA, US
Tyler David Kohn - San Francisco CA, US
Darren Erik Vengroff - Seattle WA, US
Michael James DeCourcey - Belmont CA, US
Randall Stuart Fish - Castro Valley CA, US
Bradley Ross Cerenzia - Seattle WA, US
Tyler David Kohn - San Francisco CA, US
Darren Erik Vengroff - Seattle WA, US
Assignee:
RICHRELEVANCE, INC. - San Francisco CA
International Classification:
G06Q 30/00
US Classification:
705 267
Abstract:
Techniques are described for dynamically generating recommendations for users, such as for products and other items. In at least some situations, the techniques include using multiple recommendation strategies, such as by aggregating recommendation results from multiple different recommendation strategies. Such recommendation strategies may have various forms, and may be based at least in part on data regarding prior interactions of numerous users with numerous items. In addition, information about current selections of a particular user may be gathered based at least in part on providing a GUI (“graphical user interface”) for display to the user that includes selectable information about numerous recommended items, and dynamically updating the displayed GUI with newly generated recommendations of items as the user makes selections of particular displayed recommended items (e.g., newly generated recommendations that are similar to the selected items in one or more manners, or are otherwise related to the selected items).
Generating Display Information Using A Dynamically Selected Strategy
US Patent:
2018008, Mar 22, 2018
Filed:
Nov 29, 2017
Appl. No.:
15/826458
Inventors:
- San Francisco CA, US
Michael James DeCourcey - Belmont CA, US
Randall Stuart Fish - Castro Valley CA, US
Bradley Ross Cerenzia - Seattle WA, US
Tyler David Kohn - San Francisco CA, US
Darren Erik Vengroff - Seattle WA, US
Michael James DeCourcey - Belmont CA, US
Randall Stuart Fish - Castro Valley CA, US
Bradley Ross Cerenzia - Seattle WA, US
Tyler David Kohn - San Francisco CA, US
Darren Erik Vengroff - Seattle WA, US
International Classification:
G06Q 30/06
G06Q 30/02
G06Q 30/02
Abstract:
Techniques are described for dynamically generating recommendations for users, such as for products and other items. In at least some situations, the techniques include using multiple recommendation strategies, such as by aggregating recommendation results from multiple different recommendation strategies. Such recommendation strategies may have various forms, and may be based at least in part on data regarding prior interactions of numerous users with numerous items. In addition, information about current selections of a particular user may be gathered based at least in part on providing a GUI (“graphical user interface”) for display to the user that includes selectable information about numerous recommended items, and dynamically updating the displayed GUI with newly generated recommendations of items as the user makes selections of particular displayed recommended items (e.g., newly generated recommendations that are similar to the selected items in one or more manners, or are otherwise related to the selected items).
Multi-Strategy Generation Of Product Recommendations
US Patent:
2015037, Dec 31, 2015
Filed:
Sep 3, 2015
Appl. No.:
14/845126
Inventors:
- San Francisco CA, US
Michael James DeCourcey - Belmont CA, US
Randall Stuart Fish - Castro Valley CA, US
Bradley Ross Cerenzia - Seattle WA, US
Tyler David Kohn - San Francisco CA, US
Darren Erik Vengroff - Seattle WA, US
Michael James DeCourcey - Belmont CA, US
Randall Stuart Fish - Castro Valley CA, US
Bradley Ross Cerenzia - Seattle WA, US
Tyler David Kohn - San Francisco CA, US
Darren Erik Vengroff - Seattle WA, US
International Classification:
G06Q 30/06
Abstract:
Techniques are described for dynamically generating recommendations for users, such as for products and other items. In at least some situations, the techniques include using multiple recommendation strategies, such as by aggregating recommendation results from multiple different recommendation strategies. Such recommendation strategies may have various forms, and may be based at least in part on data regarding prior interactions of numerous users with numerous items. In addition, information about current selections of a particular user may be gathered based at least in part on providing a GUI (“graphical user interface”) for display to the user that includes selectable information about numerous recommended items, and dynamically updating the displayed GUI with newly generated recommendations of items as the user makes selections of particular displayed recommended items (e.g., newly generated recommendations that are similar to the selected items in one or more manners, or are otherwise related to the selected items).
NOTICE: You may not use PeopleBackgroundCheck or the information it provides to make decisions about employment, credit, housing or any other purpose that would require Fair Credit Reporting Act (FCRA) compliance. PeopleBackgroundCheck is not a Consumer Reporting Agency (CRA) as defined by the FCRA and does not provide consumer reports.