The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Sep. 29, 2026
Filed:
Dec. 21, 2023
Walmart Apollo, Llc, Bentonville, AR (US);
Raghavendra Subramanya, Frisco, TX (US);
Praneeth Gubbala, Milpitas, CA (US);
Xuan Zhang, Georgetown, TX (US);
Shilpa Gopinath, Kerala, IN;
Kamalpreet Singh, Dallas, TX (US);
Dong Nguyen, Wylie, TX (US);
Harish Bondalapati, Bentonville, AR (US);
Bahula Bosetti, Bentonville, AR (US);
Sneha Oladhri, Irving, TX (US);
Nishant Kumar Mishra, Pradesh, IN;
Lakshya Khandelwal, Kota Rajasthan, IN;
Navesh Garg, Bangalore, IN;
Walmart Apollo, LLC, Bentonville, AR (US);
Abstract
Examples provide conversational item search refinement using multi-facet filtering of items in a catalog. A multi-facet filter manager extracts facets and actions corresponding to the facets from a user utterance. The facet-actions include an entity-role and one or more filter actions associated with the facets. A facet-action includes filter actions such as exact, exclude, greater than, less than, etc. Multi-facet filters corresponding to the facet-actions are applied to a plurality of items in the catalog. The candidate items remaining after filtering are scored. The scores indicate relevance of each candidate item. One or more of the candidate items with the highest scores are selected. The selected items are added to search results which are returned to the user in response to the conversational search query. The multi-facet filter manager enables faster and more accurate search results using fewer conversational turns for reduced system resource usage and improved user efficiency.