Craig Chambers - Seattle WA Susan J. Eggers - Seattle WA Brian K. Grant - Shoreline WA Markus Mock - Seattle WA Matthai Philipose - Seattle WA
Assignee:
University of Washington - Seattle WA
International Classification:
G06F 945
US Classification:
717140, 717148, 717153
Abstract:
Selective dynamic compilation of source code is performed using run-time information. A system is disclosed that implements a declarative, annotation based dynamic compilation of the source code, employing a partial evaluation, binding-time analysis (BTA), and including program-point-specific polyvariant division and specialization and dynamic versions of traditional global and peephole optimizations. The system allows programmers to declaratively specify policies that govern the aggressiveness of specialization and caching, providing fine control over the dynamic compilation process. The policies include directions for controlling specialization at promotion points and merge points, and further define caching policies, and speculative-specialization policies. The system also enables programmers to specialize programs across arbitrary edges, both at traditional locations, such as procedure boundaries, but also within procedures. Programmers are enabled to conditionally specialize programs based on evaluation of arbitrary compile-time and run-time conditions.
Automatically Switching Between Pricing Models For Services
Wendy R. McKennon - San Francisco CA, US Bhavesh R. Mehta - Cupertino CA, US Dustin S. Jackson - Santa Monica CA, US Abhinay Sharma - Los Altos CA, US Scott S. Benson - Sunnyvale CA, US Andrew E. Silverman - New York NY, US Dan Siroker - Palo Alto CA, US Robert Kniaz - San Francisco CA, US Nicholas C. Fox - San Francisco CA, US Markus Mock - Cupertino CA, US James A. Gallagher - Mountain View CA, US Benjamin A. Hardy - Venice CA, US Mark K. Rose - Los Altos CA, US Kai Chen - Brisbane CA, US Joerg Heilig - Los Altos CA, US
Assignee:
Google Inc. - Mountain View CA
International Classification:
G06Q 30/00
US Classification:
705 141
Abstract:
Methods, systems, and apparatus, including computer program products, that can include receiving from an advertiser a request for billing based on a first measure of services, determining from quality data related to the advertiser whether the first measure of services can be converted with sufficient confidence to a second measure of services, providing services according to the first measure of services, monitoring stability data indicative of the stability of the relationship between the first measure of services and the second measure of services, and automatically switching from one to another mode of determining a price to be charged the customer for services provided.
Risk Premiums For Conversion-Based Online Advertisement Bidding
Andrew E. Silverman - San Francisco CA, US Kai Chen - Santa Clara CA, US Abhinay Sharma - Mountain View CA, US Scott S. Benson - Santa Clara CA, US James A. Gallagher - Mountain View CA, US Markus Mock - Cupertino CA, US Bhavesh R. Mehta - Cupertino CA, US Nicholas C. Fox - San Francisco CA, US Angshuman Guha - Los Gatos CA, US Tomas Lloret Llinares - Mountain View CA, US
Assignee:
GOOGLE INC. - Mountain View CA
International Classification:
G06Q 30/00 G06F 15/18
US Classification:
705 1472, 705 27, 705 30, 706 12
Abstract:
An advertiser specifies a conversion-based bid for a conversion event associated with an ad. If a conversion event occurs for the ad, an effective conversion-based bid can be adjusted by a risk premium associated with the ad. An account associated with the advertiser can be debited based upon the adjusted effective conversion-based bid.
Risk Premiums For Conversion-Based Online Advertisement Bidding
- Mountain View CA, US Kai Chen - San Bruno CA, US Abhinay Sharma - Los Altos CA, US Scott S. Benson - Sunnyvale CA, US James A. Gallagher - Mountain View CA, US Markus Mock - Cupertino CA, US Bhavesh R. Mehta - Cupertino CA, US Nicholas C. Fox - San Francisco CA, US Angshuman Guha - Los Gatos CA, US Tomas Lloret Llinares - Mountain View CA, US
International Classification:
G06Q 30/02
Abstract:
An advertiser specifies a conversion-based bid for a conversion event associated with an ad. If a conversion event occurs for the ad, an effective conversion-based bid can be adjusted by a risk premium associated with the ad. An account associated with the advertiser can be debited based upon the adjusted effective conversion-based bid.
Jan 20, 2011 ... Amazon AWS, Google, Microsoft, VMware, NASA, Scalr... Cloud computing is changing the way we work and reshaping the way we manage and run ...
Youtube
38 Mox Ricky DE 08 168 43065 Markus und Kerst...
Duration:
59s
Swiss Expo 2017 - Richter Markus Mock und und...
Swiss Expo 2017 - Richter Markus Mock und und Kuhfotograf Martin Kille...
Duration:
4m 45s
And the lucky person is...
There's also a surprise bonus in the video. Happy Holidays everyone! M...
Duration:
4m 53s
34 Mox Megan DE0816843101 Markus und Kerstin ...
Duration:
1m 6s
Consumer Confidence is at Highest Since April...
WATCH LIVE: Stock Market News | December 22, 2022 - Here's What You Ne...
Duration:
16m 18s
Giants Mock Draft Tracker 10.0: Todd McShay a...
John Schmeelk breaks down the latest Giants mock drafts. The media has...