International Business Machines Corporation

Sharon D Snider

Susann Marie Keohane

Willie L Scott, Ii

Marc Kevin Johlic

Mary Jo Mueller

Khwaja Jawahar Jahangir Shaik

In an approach for a conversational search in a content management system, a processor trains a deep learning model to learn semantic analysis of a plurality of user queries to identify intents and entities in the user queries. A processor analyzes the content management system to extract content keywords to generate a domain ontology. A processor augments the domain ontology based on the identified intents and entities in the user queries by the deep learning model. A processor tags the content keywords with metadata based on the domain ontology. A processor maps the intents and entities extracted from a current user query of a user to the content keywords extracted from the content management system to form a metadata keyword. A processor searches the content management system for a content based on the metadata keyword. A processor returns a search result for the current user query.

Conversational search in content management systems

Provided is a method, computer program product, and system for modifying IoT device settings based on changes in user abilities. A processor may detect a plurality of IoT devices associated with one or more users. The processor may determine an ability baseline for the one or more users when interacting with the plurality of IoT devices. The processor may monitor interactions of the one or more users with the plurality of IoT devices. The processor may detect a change in the ability baseline for the one or more users when interacting with at least one IoT device of the plurality of IoT devices. In response to detecting the change, the processor may adjust one or more settings related to the at least one IoT device. The processor may propagate the adjustment to the one or more settings of the IoT device to the other IoT devices of the plurality.

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Seadrift, TX, United States of America

Sharon D Snider