Tarun Bhatia - Burbank CA, US Darshan V. Kantak - Pasadena CA, US
Assignee:
Yahoo! Inc. - Sunnyvale CA
International Classification:
G06Q 30/00
US Classification:
705 1446, 705 145, 705 1452, 705 1468
Abstract:
Methods and systems are provided for managing online advertising. Advertisers can specify requirements or preferences relating to advertisement exposures. The requirements or preferences can include, during a period of time, a minimum number of users exposed to an advertisement or group of advertisements, a range of exposures per exposed user, an average number of exposures per exposed users and an allowed variation about the average. Advertisement serving planning and advertisement serving are facilitated based in part on the specified requirements or preferences.
Ramazan Demir - Burbank CA, US Darshan V. Kantak - Pasadena CA, US Tarun Bhatia - Burbank CA, US
Assignee:
Yahoo! Inc. - Sunnyvale CA
International Classification:
G06Q 30/00
US Classification:
705 1443, 705 1454, 705 1452
Abstract:
Methods and systems are provided for advertising based at least in part on a temporal response profile associated with a user keyword query. Methods are provided in which the temporal response profile provides an indication of at least one time frame during which serving of advertisements, or certain advertisements, associated with the keyword query to the user is predicted to be more likely to be effective relative to times outside of the at least one time frame.
Advertiser Value-Based Bid Management In Online Advertising
Tarun Bhatia - Burbank CA, US Darshan V. Kantak - Pasadena CA, US Eric Theodore Bax - Pasadena CA, US Chris Jaffe - Burlingame CA, US
Assignee:
Yahoo! Inc. - Sunnyvale CA
International Classification:
G06Q 30/00 G06Q 10/00
US Classification:
705 1445, 705 1446, 705 1471
Abstract:
The present invention provides methods and systems for use in online advertising campaign management, including bid management in an online advertising auction. Techniques are provided in which a benchmark set of previously served advertisements is identified, and associated performance information is obtained. During an online auction, when an advertisement impression opportunity becomes available, information obtained using a machine learning technique may be utilized in forecasting an advertiser value-based metric associated with the opportunity, using the benchmark set of advertisements and the associated performance. The forecasted advertiser value-based metric can be used in determining bidding and pricing associated with the opportunity.
Eric Theodore Bax - Pasadena CA, US David Reiley - Berkeley CA, US Randall Lewis - Santa Clara CA, US Tarun Bhatia - Burbank CA, US Darshan V. Kantak - Pasadena CA, US
Assignee:
Yahoo! Inc. - Sunnyvale CA
International Classification:
G06Q 30/00
US Classification:
705 1471
Abstract:
Some embodiments of the invention provide techniques for placing “placeholder” bids in an auction associated with online advertising marketplace. Placeholder bids can include bids that are not actually entered or placed in the auction or marketplace. Rather, placeholder bids can include hypothetical bids. Impacts of placeholder bids, should the placeholder bids have been entered or placed as actual bids, can be assessed. An assessment can include assessing an impact on auction and marketplace parameters, an impact on bid or campaign performance, and an impact on downstream parameters such as user behavior, such as associated conversions or purchasing.
DARSHAN V. KANTAK - Pasadena CA, US Eric Theodore Bax - Pasadena CA, US Tarun Bhatia - Burbank CA, US Ayman Farahat - Santa Clara CA, US Dipika Bhatia - Simi Valley CA, US
Assignee:
Yahoo! Inc. - Sunnyvale CA
International Classification:
G06Q 30/00 G06Q 10/00
US Classification:
705 729
Abstract:
Methods and systems are provided for emotional mapping, such as of online users, based at least in part on online activities of users. Techniques are provided in which information including a set of emotional states is generated or obtained, such as a hierarchical network of emotional states representing a spectrum of human emotions. Information regarding user online activities and content choices of a user is obtained. Based at least in part on this information, the user is classified into an emotional state of the set of emotional states, and advertisements or content may be targeted to the user accordingly.
Tarun Bhatia - Burbank CA, US Dipika Bhatia - Simi Valley CA, US
Assignee:
Yahoo! Inc. - Sunnyvale CA
International Classification:
G06Q 30/00 G06Q 10/00
US Classification:
705 1453, 705 1466
Abstract:
Methods and systems are provided for emotional targeting of online users, including targeting of advertisements and content. Techniques are provided in which, based at least in part on online user behavior, a user is classified into one of a set of emotional states. Advertisements or content are targeted to the user based on at least in part on an emotional state of the user, or a forecasted, predicted, or likely emotional state of the user at a particular time or during a particular period of time.
Tarun Bhatia - Burbank CA, US Dipika Bhatia - Simi Valley CA, US
Assignee:
Yahoo! Inc. - Sunnyvale CA
International Classification:
G06Q 30/00
US Classification:
705 1466
Abstract:
Techniques are provided which include generating, providing or obtaining emoticlips. An emoticlip, which may be customizable or personalizable, can include a rich media segment designed at least to facilitate communication of an emotional state or an emotional experience. Particular emoticlips can be associated with emotional states of a set of emotional states. User association with, use of, or interaction with an emoticlip, as well as an emotional state associated with the emoticlip, can be used in classifying the user in an emotional state, or in targeting the user with an online advertisement or content, or both.
Tarun Bhatia - Burbank CA, US Eric Theodore Bax - Pasadena CA, US
Assignee:
Yahoo! Inc. - Sunnyvale CA
International Classification:
G06Q 30/00 G06Q 10/00
US Classification:
705 1443, 705 1445, 705 1452, 705 1453
Abstract:
Techniques are provided for targeting of online advertisements. Methods are provided which include classifying an individual into a state, of a set of possible states, relative to relationship with regard to an offering or brand. The classification may be based on offline and online information. The states may relate to a degree of favorability with which the individual is disposed with regard to the offering or brand. The individual is targeted with an online advertisement based at least in part on the state into which the individual is classified.
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