International Business Machines Corporation

Raghuram Srinivas

Lisa Seacat DeLuca

Faheem Altaf

Rajendra G Ugrani

Methods, computer program products, and systems are presented. The methods include, for instance: obtaining an utterance input from a user agent, and collecting context data of the utterance input. A context tag is generated based on the context data, and one or more ground truth having respective utterance semantically identical to the utterance input is selected. Semantical relationship between the context tag and an intent of the selected ground truth is examined and the selected ground truth is updated with the context tag.

Scalable ground truth disambiguation

Utilizing social media and articles to suggest item attribute importance to improve site level searching for a user.

Utilizing online content to suggest item attribute importance

A method and system for improving a domain specific search is provided. The method includes executing a user initiated search query and analyzing associated. In response, a search results data set is generated and associated hardware sensor devices detect how a user interacts with specific search facets of the search results data set. The search results data set is refined and attributes of the specific search facets are determined. Unstructured data associated with items described within the search results data set is updated.

Website domain specific search

Methods, computer program products, and systems are presented. The methods include, for instance: obtaining a query for a search result and identifying at least one entity in the query, discovering a facet-entity mapping corresponding to the entity from a knowledgebase. A facet in the facet-entity mapping is a property configured in the knowledgebase and an entity is an instance of the facet. The facet-entity mapping is displayed for the user and the query is searched from content, and the search result presented based on the facet and the entity from the facet-entity mapping.

Natural language search using facets

A method, computer system, and computer readable program product for generating text for a search corpus. In an embodiment, the method comprises analyzing structured data associated with an entity; and breaking the structured data into multiple unstructured natural language pair attributes such that natural language search terms have an increased level of matching with attributes associated with the entity, including filtering the structured data to identify a filtered group of attributes, and using the filtered group of attributes to form the natural language pair attributes. The method further comprises saving the formed natural language pairs in a search corpus. In an embodiment, the method further comprises generating a cluster of the attributes based on semantic similarities; and the using the filtered gropo of attributes to form the natural language pair attributes includes creating separate blocks of text that respectively describe the attributes included in the cluster of attributes.

Cognitive retrieve and rank search improvements using natural language for product attributes

Aspects automatically invoke automated dialog chat bots in response to determining that query text content meets a threshold relevance. A computer processor analyzes different words within text content of a user query input to identify via natural language processing query topics defined by combinations of the words. The processor drives a display device to present an automated dialog chat bot to the user that presents a chat bot series of dialog questions in response to determining that a query topic identified from analyzing the text content meets a threshold relevancy; or searches a database for results that satisfy keywords or query topics of the query content in response to failing to identify a query topic for the query text content, or to determining that an identified query topic does not meet the threshold relevancy.

Growing community of inventors

McKinney, TX, United States of America

Raghuram Srinivas