International Business Machines Corporation
Augmenting search queries based on personalized association patterns

Abstract:

A method of augmenting a user's search query based on analysis of content contributions of the user. One or more processors gather content contributions made to a media source by a user. Topic entities are identified from content contributed by the user. Semantic and syntactic analysis are performed on the content, and attributes of topic entities are determined based on the analysis. The topic entities are grouped based on similar and/or related attributes of the topic entities. The one or more processors determine relationships between the topic entities based on the grouping and the semantic analysis of the content contributed by the user of the media source. An ontology model is generated, based on the topic entities and their interrelationships, and responsive to determining the user initiates a search query, the one or more processors present additional topic entities as selection choices for augmenting the search query.