MATTHEW JOHN FULLER, D.C.
Chiropractic at Buchanan St, San Francisco, CA
License number
California 33457
Category
Chiropractic
Type
Chiropractor
Address
Address
3727 Buchanan St, San Francisco, CA 95134
Phone
(415) 563-1655
(415) 563-1697 (Fax)
(415) 563-1697 (Fax)
Personal information
See more information about MATTHEW JOHN FULLER at radaris.comName
Address
Phone
4189 Rondeau Dr, San Jose, CA 95124
420 N Poinsettia Pl, Los Angeles, CA 90036
501 Buena Vista Ave, Alameda, CA 94501
3226 Fair Oaks Ave, Altadena, CA 91001
3 Blake Ave, Corralitos, CA 95076
Professional information
See more information about MATTHEW JOHN FULLER at trustoria.com
Matthew Fuller - San Francisco, CA
Matthew Fuller - San Francisco, CA
Work:
Vaca Valley Auto Care - Vacaville, CA
Operations Manager UCSB Concessions - Santa Barbara, CA
Student Manager COPE Health Solutions - Oxnard, CA
Clinical Care Extender
Operations Manager UCSB Concessions - Santa Barbara, CA
Student Manager COPE Health Solutions - Oxnard, CA
Clinical Care Extender
Skills:
Inventory Management, Employee Management, Hiring and Firing Management, Patient Care Skills, Human Musculature, Physiology and Psychology Knowledge, Proper Body Mechanics Training
Matthew Fuller
Matthew Fuller
Location:
San Francisco, California
Industry:
Information Technology and Services
System And Method For Recommending A Wireless Product To A User
System And Method For Recommending A Wireless Product To A User
US Patent:
2002006, May 30, 2002
Filed:
Oct 5, 2001
Appl. No.:
09/970801
Inventors:
Christian Lema - Antioch CA, US
Ralph Keeney - San Francisco CA, US
Matthew Fuller - San Francisco CA, US
Ralph Keeney - San Francisco CA, US
Matthew Fuller - San Francisco CA, US
International Classification:
G06F017/60
US Classification:
705/014000
Abstract:
An intelligent system recommends a wireless product using a value-based framework. A product recommendation engine creates and delivers a survey requesting information from a user regarding wireless products needs and objectives. The user's response is captured and stored. The user's response is processed by an evaluation engine in conjunction with a logic engine for applying rules to reach a set of wireless products alternatives. The evaluation engine then enables the user to compare product attributes to narrow the list of alternatives. The product recommendation engine learns from itself, continually adding new inferences into its rule base. As new products are introduced, the product recommendation engine reviews previous recommendations to alert the user if the newly-introduced product better meets the user's needs. When a product is recommended to a user, an explanation engine explains the product recommendation based on the product's attributes and the user's objectives.