Users benefit from mechanisms that can help them refine their queries to facilitate searching for information connected to their underlying intent. Apart from refinements to narrow the scope of a query, users can benefit from suggestions that can help them pivot their information seeking by expanding their search sideways to related topics. This disclosure describes computational techniques for automated determination of suitable topics and/or queries for helping users expand the scope of their information search by pivoting to topics related to their query. The techniques involve selecting a meta-query, performing query expansion, identifying, aggregating, and deduplicating related entities. The identified entities are clustered and ranked to enable selection of particular entities that can be shown to users as pivot topics.
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Jain, Alankar; McMeans, William; Leszczuk, William M; Iyer, Sitaram; Altiok, Seher Aylin; Sharifi, Mehrbod; Miglino, Jerome; and Barlow, James K., "Automated Extraction of Pivot Topics for Sideways Expansion of Search Scope", Technical Disclosure Commons, (December 04, 2020)