International Business Machines Corporation

Daniela Regier

Vijai Kalathur

Gregory Ecock

Christopher Potter

Megan Capobianco

Muneeb Arshad

William H Scott

Jonathan D Dunne

James A O'Connor

Vivian Zhang Di Tore

John Kosowsky

Techniques for client side multi-factor password generation include randomly removing one or more features of a record of a fingerprint image of a user and creating a distorted record of the fingerprint image by merging the record with a user input code using an encryption technique, the distorted record being reversible using the user input code. The distorted record for authentication of the user is registered.

Multi-factor fingerprint authenticator

Methods and systems for leveraging a topic divergence model to generate dynamic sidebar chat conversations are disclosed. A method includes: collecting, by a computing device, data from a first group chat; determining, by the computing device, a main topic of the first group chat and a current topic of the first group chat using the data collected from the first group chat; determining, by the computing device, a first divergence score representing a degree of divergence between the main topic of the first group chat and the current topic of the first group chat; determining, by the computing device, that the first divergence score exceeds a predetermined threshold; and in response to determining that the first divergence score exceeds the predetermined threshold, the computing device creating a second group chat; determining an efficacy based on an emotive analysis which increases as the divergence score decreases.

Leveraging a topic divergence model to generate dynamic sidebar chat conversations based on an emotive analysis

Controlling the volume of a Virtual Personal Assistant (VPA) by receiving radio frequency (RF) data associated with a user, identifying a location of a user relative to the VPA, creating a volume adjustment model using the data and VPA data, tracking movement of the user based on the data, and adjusting a volume of the VPA according to the volume adjustment model.

Volume adjustment model development

Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: obtaining image data representing page content of a physical book; running a character recognition process to process the image data for providing a text string of machine encoded text corresponding to text of the physical book; identifying within a data repository that stores one or more electronic book a string of text of an electronic book that matches the text string of machine encoded text; and based on the identifying, digitally bookmarking the electronic book.

Physical and digital bookmark syncing

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New Paltz, NY, United States of America

Daniela Regier