Probabilistic search biasing and recommendations

US12223522B2 · kind B2 · utility

Assignee

• MERCARI, INC. · JP

Inventors

• Byong Mok Oh · Los Altos, US
• Dhruv Mehrotra · Mountain View, US
• Chiaki Osaka · South San Francisco, US
• Naoya Makino · San Francisco, US
• Patrick Michael Wiseman · South San Francisco, US
• Minami Sueyasu · San Francisco, US

Key dates

• Filing date: Mar 11, 2022
• Grant date: Feb 11, 2025
• Expiry date: Mar 11, 2042

Classification

• Technology area (CPC —): General

Abstract

Disclosed herein are system, method, and computer program product embodiments for probabilistic search biasing and recommendations. A system including at least one processor may be configured to receive an input relating to an identified item, generate a database query based on the input, and receive a response to the database query. The response may include information on comparable items similar to the identified item, and corresponding metadata for the comparable items. The corresponding metadata may include a range of values corresponding to the comparable items. The system may be further configured to generate a probability score for at least two values of the range of values, based at least on the corresponding metadata for the comparable items. The system may be further configured to output at least a suggested value based on at least the generated probability score for the range of values and prompt for further input.