Mayer Brown Rowe & Maw 1200 Smith Street, Houston, TX 77002 713 221-1225 (Office), 713 221-2102 (Fax)
Licenses:
Texas - Eligible To Practice In Texas 2005
Education:
Northwestern University School of Law Degree - JD - Juris Doctor - Law Graduated - 2003 University of Tulsa Degree - BS - Bachelor of Science - Business Administration Graduated - 2000 University of Tulsa Degree - BS - Bachelor of Science - Finance Graduated - 2000
Jeffrey David Oldham - San Jose CA, US Hal R. Varian - Danville CA, US Matthew D. Cutts - Los Altos CA, US Matt Rosencrantz - San Francisco CA, US
Assignee:
Google Inc. - Mountain View CA
International Classification:
G06F 17/30 G06F 7/06
US Classification:
707 5, 707 2, 709203
Abstract:
Systems and methods for identifying inadequate search content are provided. Inadequate search content, for example, can be identified based on statistics associated with the search queries related to the content.
Jeffrey D. Oldham - San Jose CA, US Hal R. Varian - Danville CA, US Matthew D. Cutts - Los Altos CA, US Matt Rosencrantz - San Francisco CA, US
Assignee:
Google Inc. - Mountain View CA
International Classification:
G06F 17/30
US Classification:
707723, 707748, 707752, 707754, 709203
Abstract:
Systems and methods for identifying inadequate search content are provided. Inadequate search content, for example, can be identified based on statistics associated with the search queries related to the content.
A computer-implemented method is described including determining a value of an attribute related to a user of a first system connected to a network, generating a network location identifier based at least in par on the determined value, making the generated network location identifier available to the user, and upon detecting that the user has selected the generated network location identifier, providing the generated network location identifier to a second system on the network residing at a location corresponding, at least in part, to the generated network location identifier.
Selecting Advertisements Based On Consumer Transactions
Jeffrey Oldham - San Jose CA, US Sheng Song - Sunnyvale CA, US
Assignee:
GOOGLE INC. - Mountain View CA
International Classification:
G06Q 30/00
US Classification:
705 14
Abstract:
Systems, methods, and computer program products, are provided for selecting advertisements based on transactions. In one implementation, a computer-implemented method is provided that includes receiving information descriptive of a transaction, the information including an identification of an item from the transaction and identifying from a collection of advertisements one or more first advertisements based on an association identified between the first advertisements and the information. The method includes selecting one or more second advertisements from among the first advertisements and presenting the one or more second advertisement at the time of the transaction according to a ranking order. In another implementation, a method includes identifying one or more first advertisements based on an association between the first advertisements and information descriptive of a transaction, ranking one or more second advertisements from among the identified first advertisements, and presenting the second advertisements at least in part according to the ranking.
Jeffrey Oldham - San Jose CA, US Joshua D. Mittleman - Croton-on-Hudson NY, US Alex Cook - San Francisco CA, US
Assignee:
GOOGLE INC. - Mountain View CA
International Classification:
G06F 17/30 G06F 3/048
US Classification:
707 3, 715788, 707E17008, 707E17014
Abstract:
A system sends a search query to a search engine and receives from the search engine, responsive to the search query, a document comprising a first search result item and a second search result item. The system visually renders a portion that includes less than an entirety of the first search result item and includes the second search result item, where the portion is visually rendered in a region of the document. The system receives a selection of the first search result item from a user and visually expands the region of the document to a size sufficient to render an entirety of the first search result item based on the selection. The system visually renders the entirety of the first search result item within the expanded region of the document. Data supplied from the esp@cenet database—Worldwide
Sheng Song - Sunnyvale CA, US Jeffrey D. Oldham - San Jose CA, US
Assignee:
GOOGLE INC. - Mountain View CA
International Classification:
G06F 15/16
US Classification:
709203
Abstract:
Systems and methods for streaming media content. Streaming media advertising systems can identify a request for streaming media and identify content for presentation to a client requesting the streaming media. The identified content items can be presented simultaneous to presentation of the streaming media or can be interspersed within the presentation of the streaming media.
Jeffrey David Oldham - San Jose CA, US Hal R. Varian - Danville CA, US Matthew D. Cutts - Los Altos CA, US Matt Rosencrantz - San Francisco CA, US
Assignee:
GOOGLE INC. - Mountain View CA
International Classification:
G06F 17/30
US Classification:
707749, 707E17008, 707E17069
Abstract:
Systems and methods for identifying inadequate search content are provided. Inadequate search content, for example, can be identified based on statistics associated with the search queries related to the content.
Jeffrey OLDHAM - San Jose CA, US Joshua D. MITTLEMAN - Croton-on-Hudson NY, US Alex COOK - San Francisco CA, US
Assignee:
GOOGLE INC. - Mountain View CA
International Classification:
G06F 17/30
US Classification:
707731
Abstract:
A system sends a search query to a search engine and receives from the search engine, responsive to the search query, a document comprising a first search result item and a second search result item. The system visually renders a portion that includes less than an entirety of the first search result item and includes the second search result item, where the portion is visually rendered in a region of the document. The system receives a selection of the first search result item from a user and visually expands the region of the document to a size sufficient to render an entirety of the first search result item based on the selection. The system visually renders the entirety of the first search result item within the expanded region of the document.
Distributed Systems Scalability Machine Learning Python Software Engineering Algorithms Hadoop Data Mining Cloud Computing Product Management C++ Big Data