International Business Machines Corporation

Nathan Glenn Faiman

Michael T Kalmbach

Kevin James Wendzel

John Edward Petri

Sean Thomas Brownlow

Jared W Patterson

Brian Robert Muras

Michael Lawrence Nordstrom

Techniques are described for allowing a first user to efficiently send contact information to a second user using a user communication of a messaging application such as email programs, instant messaging programs, social media websites, or chat rooms. The messaging application may maintain a name database that stores names that are relevant to a first user. When the first user then types or speaks a name into a user communication (e.g., an email, instant message, or voice message), the messaging application provides the first user with the names stored in the name database that match the name in the user communication. Additionally, the messaging application may use ranking data associated with each matched name to order the names according to relevance. The first user can then select the correct name (if there are multiple matched names) which prompts the messaging application to automatically send contact information to the intended recipient of the user communication either within the current user communication or in a separate communication. In this manner, the first user is able to efficiently send contact information of relevant names to a recipient. The recipient may then use the contact information to communicate with the suggested contact.

Contact recommendation system for a user communication

Techniques are disclosed for serving a webpage based on a zoom level. The techniques include requesting, by a client device, contents of a webpage. The request may include indications of a zoom level and a viewable area of the webpage as shown on a display of the client device. A server system may determine that the zoom level indicated in the request is less than a threshold value and identify content items within the viewable area which meet predefined criteria for being considered expensive. Further, the server system may serve a modified webpage which includes replacement items in lieu of the expensive content items.

Resource-adaptive content delivery on client devices

Method, system, and computer program product for performing an operation for automatic electronic book augmentation. The operation presents an electronic book via a display screen of an electronic device, and identifies user preferences. The operation then determines a current reading position of a user within the electronic book. The operation then identifies, based on the user's current reading position, a context within the electronic book. The operation then identifies, based on the context and the user preferences, sensory effects to enhance the user's experience. The operation then outputs the sensory effects.

Automatic eBook reader augmentation

Techniques are disclosed for evaluating an application to determine a processing environment suited for executing the application. A request may be received to execute the application. If execution data identified for the application do not satisfy a first set of criteria, the application is deployed for execution on a first processing environment. If the execution data satisfy the first set of criteria, the application is deployed for execution partially in time on a second processing environment, based on the execution data. The second processing environment provides a higher capability than the first processing environment in terms of at least one resource type.

Application deployment in heterogeneous environments

In an embodiment, a first device detects a first interaction between the first device and a second device. The first device assigns a first rating of the first interaction. The first device calculates an internal trust for the second device based on the first rating and a first time since the occurrence of the first interaction. The first device receives trust data from a third device. The first device calculates a community trust for the second device based on the trust data and an internal trust that the first device has for the third device. The first device calculates a total trust that the first device has for the second device based on the community trust and the internal trust that the first device has for the second device. If the total trust is less than a minimum threshold, the first device disallows a second interaction.

Determining trust data for devices in a network

The present invention optimizes storage of stream file by dynamically adjusting the size of new extents. In one embodiment, a file system manager collects usage statistics for a plurality of files in a file system. The file system manager uses the usage statistics to create larger extents for frequently used files than for infrequently used files.

Growing community of inventors

Rochester, MN, United States of America

Nathan Glenn Faiman