Publication number: 20260277915
Abstract: A weighted multicategory querying (WMQ) tool generates alternates of an initial query through spelling correction, grammar correction, natural language processing, ambiguous term resolution, term normalization, keyword reordering, synonyms, and similar terms. The WMQ tool generates additional queries in different weighted categories such as keyword combination, query programming language (QPL), metadata, or embedding space. Query result individual topic proximity scores are combined with category weights to calculate a combined topic proximity score, which is employed to rank the query result. Embedding space query weight is increased for queries classified as broad. QPL query weight or metadata query weight is increased for queries which contain part or all of a metadata field name. Language models are leveraged for query generation, topic proximity scoring, or both.
Type:
Application
Filed:
April 30, 2025
Publication date:
September 17, 2026
Inventors:
Ge WANG, Pak On CHAN, Deepika PURI, Andy NGUYEN, Vinayak NADIR, Ghazal MAZAHERI, Ravi Kiran REDDY POLURI, Milenko DRINIC, Rajesh CHILLAKURU, Samuel Johnson SHELTON, Sundar KAMESWARAN, Nicholas James ROBINSON, Ramya KONERU, Annapurna Lakshmi SARIPALLI, Chen XU, Amitesh JAIN, Kai LIANG, Pankaj Jitendra PARIKH, Michael RAWSON, Maxim NACU, Venkata Rao SALADI