Dr. Nguyen graduated from the Univ of Hue, Fac De Med, Hue, Vietnam (942 02 Eff 1983) in 1975. He works in Houston, TX and specializes in Family Medicine. Dr. Nguyen is affiliated with CHI St Luke Patients Medical Center.
Wilburt Juan Labio - Sunnyvale CA, US Giao Thanh Nguyen - San Jose CA, US Winston Wencheng Liu - Moreno Valley CA, US Gurmeet Singh Manku - Stanford CA, US
A method and system for intelligently directing a search of a peer-to-peer network, in which a user performing a search is assisted in choosing a host which is likely to return fast, favorable results to the user. A host monitor monitors the peer-to-peer network and collects data on various characteristics of the hosts which make up the network. Thereafter, a host selector ranks the hosts using the data, and passes this information to the user. The user then selects one or more of the highly-ranked hosts as an entry point into the network. Additionally, a cache may collect a list of hosts based on the content on the hosts. In this way, a user may choose to connect to a host which is known to contain information relevant to the user's search. The host selector may be used to select from among the hosts listed in the cache.
System And Method For Optimizing Access To Information In Peer-To-Peer Computer Networks
Wilburt Juan Labio - Sunnyvale CA, US Giao Thanh Nguyen - San Jose CA, US Winston Wencheng Liu - Moreno Valley CA, US Gurmeet Singh Manku - Stanford CA, US
A method and system for intelligently directing a search of a peer-to-peer network, in which a user performing a search is assisted in choosing a host which is likely to return fast, favorable results to the user. A host monitor monitors the peer-to-peer network and collects data on various characteristics of the hosts which make up the network. Thereafter, a host selector ranks the hosts using the data, and passes this information to the user. The user then selects one or more of the highly-ranked hosts as an entry point into the network. Additionally, a cache may collect a list of hosts based on the content on the hosts. In this way, a user may choose to connect to a host which is known to contain information relevant to the user's search. The host selector may be used to select from among the hosts listed in the cache.
System And Method For Searching Peer-To-Peer Computer Networks
Wilburt Juan Labio - Sunnyvale CA, US Giao Thanh Nguyen - San Jose CA, US Winston Wencheng Liu - Moreno Valley CA, US Gurmeet Singh Manku - Stanford CA, US
Assignee:
Napster, Inc. - Los Angeles CA
International Classification:
G06F 15/173
US Classification:
709224, 709201, 709219, 718105, 707 10, 707201
Abstract:
A method and system for intelligently directing a search of a peer-to-peer network, in which a user performing a search is assisted in choosing a host which is likely to return fast, favorable results to the user. A host monitor monitors the peer-to-peer network and collects data on various characteristics of the hosts which make up the network. Thereafter, a host selector ranks the hosts using the data, and passes this information to the user. The user then selects one or more of the highly-ranked hosts as an entry point into the network. Additionally, a cache may collect a list of hosts based on the content on the hosts. In this way, a user may choose to connect to a host which is known to contain information relevant to the user's search. The host selector may be used to select from among the hosts listed in the cache.
Roberto J. Bayardo - Morgan Hill CA, US Uma Mahadevan - Cupertino CA, US Giao Nguyen - Sacramento CA, US Shivakumar Venkataraman - Santa Clara CA, US Adam I. Juda - New York NY, US
Assignee:
Google Inc. - Mountain View CA
International Classification:
G06F 7/00 G06F 17/30 G06Q 30/00
US Classification:
707748, 705 144
Abstract:
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for selecting controlling keywords. In one aspect, a method includes determining that two or more targeting keywords for a same content item source are matched by one or more terms in a content item request, where a first targeting keyword matches the one or more terms with a more specific type of match than the second targeting keyword. If the bid associated with the second targeting keyword does not exceed the bid associated with the first targeting keyword, the first targeting keyword and the second targeting keyword are ranked based on selection scores. The targeting keywords are ranked based at least in part on the quality scores when the bid associated with the second targeting keyword does exceed the bid associated with the first targeting keyword.
Darrell Anderson - Mountain View CA, US Alexander Carobus - Mountain View CA, US Giao Nguyen - Sacramento CA, US Narayanan Shivakumar - San Jose CA, US
International Classification:
G06Q 30/00
US Classification:
705014000
Abstract:
Ads eligible to be served with a document (for example, because they are relevant to the document) may each be scored using a price parameter associated with the ad and an indication of relevancy of the ad to the document. The indication of relevancy of the ad to the document may be based on an ordinal ranking of a relevancy criteria of the document used to select the ad, and/or a value of a relevancy criteria of the document used to select the ad. The eligible ads may be determined by obtaining relevancy criteria for the document and selecting ads using at least some of the obtained relevancy criteria. The ads may be selected, and perhaps filtered, in a distributed manner.
Determining Advertisements Using User Interest Information And Map-Based Location Information
Steve Glassman - Palo Alto CA, US Joshy Joseph - Los Altos Hills CA, US Bill Kilday - Menlo Park CA, US Sridhar Ramaswamy - Cupertino CA, US Giao Nguyen - Sacramento CA, US Dominic Preuss - New York NY, US
International Classification:
G06Q 30/00 G06F 17/40 G06F 19/00
US Classification:
705 10
Abstract:
In response to a query for information in a geographic region or at a location, ranked ads may be plotted on, or in association with, a map (e.g., as a list beside the map), satellite photo, or any other form of visual representation of geographic information (referred to generally as “maps”). Sponsored ads might be shown in a dedicated place and/or might be elevated above other non-sponsored search results (e.g., Yellow Page listings). The number of ads shown in the list and/or plotted on the map could vary as a function of the resolution of the map or geographic image. The ads could be ranked or scored, and attributes or features of various ads may be a function of such a score or ranking. The plots on the map might be selectable to provide a pop-up with further information and possibly sponsored information (such as images, further ads, etc).
Determining Advertisements Using User Interest Information And Map-Based Location Information
Steve Glassman - Palo Alto CA, US Joshy Joseph - Los Altos CA, US Bill Kilday - Menlo Park CA, US Giao Nguyen - Sacramento CA, US Dominic Preuss - New York NY, US Sridhar Ramaswamy - Cupertino CA, US
Assignee:
GOOGLE INC. - Mountain View CA
International Classification:
G06Q 30/02
US Classification:
705 1441
Abstract:
In response to a query for information in a geographic region or at a location, ranked ads may be plotted on, or in association with, a map (e.g., as a list beside the map), satellite photo, or any other form of visual representation of geographic information (referred to generally as “maps”). Sponsored ads might be shown in a dedicated place and/or might be elevated above other non-sponsored search results (e.g., Yellow Page listings). The number of ads shown in the list and/or plotted on the map could vary as a function of the resolution of the map or geographic image. The ads could be ranked or scored, and attributes or features of various ads may be a function of such a score or ranking. The plots on the map might be selectable to provide a pop-up with further information and possibly sponsored information (such as images, further ads, etc).
- Mountain View CA, US Kentaro TOKUSEI - Los Altos CA, US Weipeng Paul YAN - Redwood City CA, US Giao NGUYEN - Sacramento CA, US Steve MILLER - Menlo Park CA, US
International Classification:
G06Q 30/02
Abstract:
A method of generating relevant promotional materials for transmission to a mobile device includes receiving a query from the mobile device, identifying a plurality of advertisements associated with an advertiser-directed delivery parameter that match parameters for the mobile device, and generating a response to the query comprising search results and the plurality of advertisements.
Googleplus
Giao Nguyen
Lived:
Silver Spring, MD
Education:
John F. Kennedy high School, John F. Kennedy HS
Relationship:
In_a_relationship
About:
Im shyim quietim lonelyim shy emo my favorite colors are black, purple and blueim asian (vietnamese) americanim in a relationship (//-^)________________________... To The Dark Side Likes:Tokio hotel...
Tagline:
Calling me "ugly" wont make you pretty. laugh at me near the staircase, i'll push you off the stairs. make infront of me, someone will hunt you down by the ghost.
Giao Nguyen
Work:
Viện Công nghệ thông tin - Nghiên cứu viên
Education:
Đại học Công nghiệp Hà Nội - Công nghệ thông tin
Tagline:
Nỗ lực hết mình!
Giao Nguyen
Education:
Đại Học Hoa Sen - Công Nghệ Thông Tin, Cao Đẳng Hoa Sen - Công Nghệ Thông Tin
Tagline:
Nothing
Giao Nguyen
Work:
TRƯỜNG MẪU GIÁO TIÊN CẢNH
About:
NGUYỄN THỊ QUỲNH GIAO SINH NĂM 1981
Tagline:
CHỐC MO
Bragging Rights:
MÌNH ĐÃ HỌC ĐẠI HỌC MẦM NON
Giao Nguyen
Work:
Pemara Labels VN
Education:
University of Technical Education HCM
Giao Nguyen
Education:
Dai hoc Van Lang - Kien Truc
Giao Nguyen
Work:
Masan Consumer Coporation
Giao Nguyen
Work:
CVT COMPLETE CAR CAR
Youtube
YouTube Fr. Peter Giao Van Nguyen SOLT
6 Aug 2008 ... This is the vocation story of a man called to be a Roma...