Sreenivasulu Jaladanki, 51San Ramon, CA

8108475, Jan 31, 2012

Apr 30, 2009

12/433738

Sreenivasulu Jaladanki - Cupertino CA, US
R. David Lewis - Menlo Park CA, US

Acxiom Corporation - Little Rock AR

G06F 15/16

709206, 709207, 709245

Techniques for classifying failure messages received from email messages that are sent are provided. A plurality of rules are created that are used to classify a plurality of failure types for email messages. Email messages are sent to an email address associated with an Internet service provider. When an email message fails, a failure message is determined. A rule that applies to the failure message is then determined and based on the rule, a failure type associated with the rule is determined. Once a failure type is determined, an action may be performed based on the failure type. For example, the email address associated with the email message may be marked as invalid.

2012015, Jun 21, 2012

Dec 20, 2010

12/973696

Sreenivasulu Jaladanki - Cupertino CA, US

G06Q 30/00

705 1453, 705 1449, 705 1466

A method and a system are provided for blending advertiser data with ad network data in order to serve finely targeted ads. In one example, the system receives campaign information from one or more advertisers. The campaign information includes at least one of a budget, criteria, and a creative. The system receives a notification from a user device about an available ad spot on a webpage for display at a browser running on the user device. The system receives data from an advertiser. The data from the advertiser pertains to managing an ad to be sent to the user device to fill the ad spot on the webpage. Then, the system combines the data from the advertiser with data from an ad network to obtain combined data. The ad network is configured for managing at least part of an ad campaign. The advertiser is also configured for managing at least part of the ad campaign.

7536439, May 19, 2009

Dec 2, 2003

10/726786

Sreenivasulu Jaladanki - Cupertino CA, US
R. David Lewis - Menlo Park CA, US

Digital Impact, Inc. - San Mateo CA

G06F 15/16

709206

Techniques for classifying failure messages received from email messages that are sent are provided. A plurality of rules are created that are used to classify a plurality of failure types for email messages. Email messages are sent to an email address associated with an Internet service provider. When an email message fails, a failure message is determined. A rule that applies to the failure message is then determined and based on the rule, a failure type associated with the rule is determined. Once a failure type is determined, an action may be performed based on the failure type. For example, the email address associated with the email message may be marked as invalid.

2016012, May 5, 2016

Oct 30, 2014

14/528422

- Sunnyvale CA, US
Tejal Parulekar - Sunnyvale CA, US
Sreenivasulu Jaladanki - San Ramon CA, US

Yahoo! Inc. - Sunnyvale CA

G06N 99/00
G06Q 30/02

Provided herein is a system or method for a native advertisement selection and formatting module operable to monitor displayable content and store characteristic-related information relating to the monitored content, including keyword-related information and format-related information, utilize one or more machine learning-based algorithms, analyze the characteristic-related information relating to the monitored content, including the keyword-related information and the format-related information, and based in part on the analysis, output detailed contextual settings, and select and format native advertisements to be displayed in visual association with the displayable content, based in part on the detailed contextual settings.

2015027, Oct 1, 2015

Dec 30, 2014

14/585783

- Sunnyvale CA, US
Herve MARCELLINI - Menlo Park CA, US
Sreenivasulu Jaladanki - San Ramon CA, US

YAHOO! INC. - Sunnyvale CA

G06Q 30/02
G06F 17/22
H04L 29/08

Techniques are provided that include obtaining a Document Object Model of an HTML document. A configuration XPath is obtained identifying, as of a configuration time, a node within the Document Object Model as a native advertisement placement candidate container. Additional information is obtained regarding native advertisement placement candidate containers within the Document Object Model, and an injection XPath, identifying a node within the Document Object Model as a native advertisement placement candidate container, is generated at an injection time, subsequent to the configuration time, based on the configuration XPath and the additional information. The additional information may include information regarding at least one of a title element, description element and image element identified by a user as being associated with native advertisement placement candidate containers. Generating the injection XPath may include removing a numerical identifier from one or more tags of the configuration XPath.