Adobe, Inc.

Michael A Marth

Ken Beaton

Zhe Lin

Jonathan Worthen Brandt

Stefan Guggisberg

Pradhan S Rao

Tommaso Teofili

Carsten Ziegeler

Allaert Joachim David Bosschaert

Dominique Pfister

Marcel Reutegger

Content creation and deployment collaboration techniques are described. In one or more implementations, metadata that describes the creation of the content may be associated with the content. The content may then be provided from a content creation service to a content deployment service for deployment as part of a marketing activity. Deployment data obtained from this tracking may be utilized to support a variety of functionality, such as by content creators to determine which of their content has been successfully employed as part of marketing activities, marketers may also use knowledge of the deployment of the content to choose content to be included in a marketing activity as well as select content creators that are best suited to provide this content, used to configure badges, by retailers and manufacturers, and so forth.

Content creation, deployment collaboration, and channel dependent content selection

Content creation, deployment collaboration, and tracking exposure

Certain embodiments involve ranking search results from an information retrieval system using user query data to provide relevant search results to users of the information retrieval system. For example, a system determines a weight factor associated with a first user that provides a query to the information retrieval system based on a type or role of the first user. The system further determines a boost factor associated with the first user based on the weight factor and a number of consecutive search queries provided by the user. The system uses the boost factor to automatically tune a ranking algorithm to adjust a rank of a search result item resulting from a search query provided by a second user.

Methods and systems for ranking search results via implicit query driven active learning

Content creation, deployment collaboration, activity stream, and task management

Content creation, deployment collaboration, and subsequent marketing activities

This disclosure relates to training a classifier algorithm that can be used for automatically selecting tags to be applied to a received image. For example, a computing device can group training images together based on the training images having similar tags. The computing device trains a classifier algorithm to identify the training images as semantically similar to one another based on the training images being grouped together. The trained classifier algorithm is used to determine that an input image is semantically similar to an example tagged image. A tag is generated for the input image using tag content from the example tagged image based on determining that the input image is semantically similar to the tagged image.

Training a classifier algorithm used for automatically generating tags to be applied to images

Systems and methods herein provide for a clustered content management comprising at least two computing nodes. A first node comprises an instance of the content repository. The first computing node may perform content management operations on its instance of the content repository. Changes to the instance of the content repository of the first computing node are synchronized with the content repository by way of a second computing node. The second computing node is communicatively coupled to the first computing node through a network and is operable to synchronize the change with the content repository. The second computing node also determines that synchronization of the change is blocked due to an error. The second computing node identifies the error, determines that the error is correctable, and corrects the error to synchronize the change with the content repository.

Self healing cluster of a content management system

Embodiments of the present invention provide systems, methods, and computer storage media directed at automated testing of shell scripts and core functionality of a software application under test utilizing the same testing environment. In embodiments, a testing environment that is configured to perform automated testing of core functionality of a software application under test is provided with a test library that extends the testing capabilities of the testing environment to also perform automated testing of shell scripts of the software application under test. The core functionality can be encoded in a first programming language, while the shell scripts are encoded in a second programming language. Other embodiments may be described and/or claimed.

Automated testing of shell scripts

Growing community of inventors

Basel-Stadt, Switzerland

Michael A Marth