WenJing Ma - Santa Clara CA, US Long Ji Lin - San Jose CA, US Jian Yang - Palo Alto CA, US
Assignee:
Yahoo! Inc. - Sunnyvale CA
International Classification:
G06Q 30/00
US Classification:
705 1473
Abstract:
A computer implemented system includes a computer readable storage medium which includes historical demand data for a plurality of advertising inventories, and a processor connected to the computer readable storage medium. The processor is configured for generating a first demand forecast for a first predetermined period of time and a second demand forecast for a second predetermined period of time. The processor is configured for adjusting the first demand forecast by removing an existing demand for each of the plurality of advertising inventories, and for generating a net forecasting demand for each of the plurality of inventories for a third predetermined period of time by combining the second demand forecast and an adjusted first demand forecast. The third predetermined period of time is based on the first and second predetermined periods.
Impression-Trend Techniques For Providing A Display Advertising Supply Forecast
Erik Vee - San Mateo CA, US Jayavel Shanmugasundaram - Santa Clara CA, US Long Ji Lin - San Jose CA, US Peiji Chen - Saratoga CA, US Datong Chen - Santa Clara CA, US Qi He - San Jose CA, US
Assignee:
Yahoo! Inc. - Irvine CA
International Classification:
G06Q 30/00
US Classification:
705 1445
Abstract:
Techniques are described herein for using an impression-trend technique to provide a display advertising supply forecast. A display advertising supply forecast is an estimate of a number of impressions, which are to occur in a future time period, that have specified attribute values. For example, the specified attribute values may be descriptive of impressions with respect to which an advertiser wishes to place ads. An impression-trend technique is a forecasting technique that uses trends regarding past impressions to forecast a number of future impressions that have specified attribute values. The past impressions include attribute values that are related to the specified attribute values.
Distributed Computing System For Large-Scale Data Handling
Peiji Chen - Saratoga CA, US Donald Swanson - Mountain View CA, US Mark Sordo - Santa Cruz CA, US Danny Zhang - Mountain View CA, US Long Ji Lin - San Jose CA, US
Assignee:
Yahoo! Inc. - Sunnyvale CA
International Classification:
G06F 17/30 G06F 7/00
US Classification:
717177, 707E17032
Abstract:
A method for processing data on a distributed computing environment is provided. Input data that is to be processed may be stored on an input storage module. Mapper code can be loaded onto a map module and executed. The mapper code can load a mapper executable file onto the map module from a central storage unit and instantiate the mapper executable file. The mapper code, then, can pass the input data to the mapper executable file. The mapper executable file can generate mapped data based on the input data and pass the mapped data back to the mapper code.
Martin Zinkevich - Santa Clara CA, US Deepak K. Agarwal - Sunnyvale CA, US Erik Vee - San Mateo CA, US Peiji Chen - Saratoga CA, US Long Ji Lin - San Jose CA, US Danny Zhang - Mountain View CA, US Sergei Vassilvitskii - New York NY, US Jayavel Shanmugasundaram - Santa Clara CA, US Ramana Yerneni - Cupertino CA, US
Assignee:
Yahoo! Inc. - Sunnyvale CA
International Classification:
G06Q 30/00
US Classification:
705 1471, 705 144
Abstract:
A method for allocating inventory in a networked environment includes receiving a request to purchase a number of display impressions, the request including targeting parameters and a frequency constraint corresponding to a maximum number of times the advertisement can be displayed to a user. The method also includes allocating the requested number of display impressions across a set of user samples, where the number of impressions allocated to any one user sample in the set of user samples is constrained by the frequency constraint. Allocation information that defines how the impressions are allocated among the user samples is stored to a user sample database.
Impression-Trend Techniques For Providing A Display Advertising Supply Forecast
Jayavel Shanmugasundaram - Santa Clara CA, US Long Ji Lin - San Jose CA, US Peiji Chen - Saratoga CA, US Datong Chen - Santa Clara CA, US Qi He - San Jose CA, US
Assignee:
Yahoo! Inc. - Sunnyvale CA
International Classification:
G06Q 30/02
US Classification:
705 1445
Abstract:
Techniques are described herein for using an impression-trend technique to provide a display advertising supply forecast. A display advertising supply forecast is an estimate of a number of impressions, which are to occur in a future time period, that have specified attribute values. For example, the specified attribute values may be descriptive of impressions with respect to which an advertiser wishes to place ads. An impression-trend technique is a forecasting technique that uses trends regarding past impressions to forecast a number of future impressions that have specified attribute values. The past impressions include attribute values that are related to the specified attribute values.
Embodiments of the present technology may include a method of forming a stack of semiconductor layers. The method may include depositing a first silicon oxide layer on a substrate. The method may also include depositing a first silicon layer on the first silicon oxide layer. The method may include depositing a first silicon nitride layer on the first silicon layer. The method may further include depositing a second silicon layer on the first silicon nitride layer. In addition, the method may include depositing a stress layer on a side of the substrate opposite a side of the substrate with the first silicon oxide layer. The operations may form a structure of semiconductor layers, where the structure includes the first silicon oxide layer, the first silicon layer, the first silicon nitride layer, the second silicon layer, the substrate, and the stress layer. Other methods of reducing stress are described.
Methods Of Forming A Stack Of Multiple Deposited Semiconductor Layers
Embodiments of the present technology may include a method of forming a stack of semiconductor layers. The method may include depositing a first silicon oxide layer on a substrate. The method may also include depositing a first silicon layer on the first silicon oxide layer. The method may further include depositing a first silicon nitride layer on the first silicon layer. Depositing the first silicon nitride layer or a stress layer may include reducing stress in at least one of the first silicon layer, the first silicon oxide layer, or the substrate. In addition, the method may include depositing a second silicon layer on the first silicon nitride layer. The operations may form the stack of semiconductor layers, where the stack includes the first silicon oxide layer, the first silicon layer, the first silicon nitride layer, and the second silicon layer.
Optimization And Attribution Of Marketing Resources
- Bentonville AR, US Gary Tang - San Francisco CA, US Zachary F. Poley - San Bruno CA, US Xiang Xiao - Fremont CA, US Long Lin - Sunnyvale CA, US Abhimanyu Mitra - San Jose CA, US
Assignee:
WAL-MART STORES, INC. - Bentonville AR
International Classification:
G06Q 30/02
Abstract:
Example systems and methods for optimization and attribution of marketing resources are described. In one implementation, a method retrieves transaction data associated with one or more offline stores and user data of users that are exposed to a marketing campaign. The method also correlates the transaction data to the user data to measure marketing attribution and modify the marketing campaign.
Name / Title
Company / Classification
Phones & Addresses
Long G Lin
Tony & William R E Brotherhood Real Estate Agents and Managers
3521 Farrington St, Flushing, NY 11354
Long G Lin Manager
Winzone Realty Inc Real Estate
14120 Holly Ave, Flushing, NY 11355
Long Lin Owner
Bayridge Sushi Hospitality · Eating Place
6819 3 Ave, Brooklyn, NY 11220 6914 3 Ave, Brooklyn, NY 11209 7184910662
Long Lin
NEW AC BUFFET LLC Restaurants
14370 Ash Ave, Flushing, NY 11355 836 National Rd, Wheeling, WV 26003 96 Chambers Ave, Greenville, PA 16125 3042328886
Marie Victorin School Brossard Kuwait 1998-1999, Samuel de Champlain School Brossard Kuwait 1999-2001, Pierre Brosseau School Brossard Kuwait 2001-2003
Community:
Vanessa Munoz, Vincent Quintin, Chris Wong, Vanessa Chan, Oscar Twist, Marieeve Ouellette, Michael Angelo, Kadie C, Melanie Golak, Alicia White
Michele Phillips (1982-1986), George Griffin (1960-1965), Marc Bigony (1971-1977), Long Lin (1977-1981), Leilani Finau (1996-2000), Trinity Meriwood (1993-1998)