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.
Si Shen - San Francisco CA, US Kentaro Tokusei - Los Altos CA, US Weipeng Yan - Redwood City CA, US Giao Nguyen - Sacramento CA, US Steve Miller - Menlo Park CA, US
International Classification:
G06Q 30/00
US Classification:
705014000
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.
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).
Name / Title
Company / Classification
Phones & Addresses
Giao Nguyen Director
BRYAN & KEVIN, LLC
5505 Colleyville Blvd STE 200, Colleyville, TX 76034 2575 Hall Johnson STE 621, Grapevine, TX 76051
Giao Nguyen Manager
Lotus Bamboo Property LLC Eating Place
3448 Malibu Ter, Fremont, CA 94539
Giao Nguyen Executive
Envy U Beauty Salon Beauty Shop
47945 Warm Spg Blvd, Fremont, CA 94539 47948 Warm Spg Blvd, Fremont, CA 94539 (510)6838636
Giao T. Nguyen Principal
Nguyen T Giao Business Services at Non-Commercial Site · Nonclassifiable Establishments
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.