Deep Multi-Modal Pairwise Ranking Model For Crowdsourced Food Data

Abstract

A method of operating a health tracking system is disclosed herein. The health tracking system includes a processor and a database configured to store a plurality of data records, each of the plurality of data records comprising at least a descriptive string and nutritional data regarding a respective consumable item. The method includes receiving, with the processor, a query string. The method further includes searching, with the processor, based on the query string, the database to retrieve a list of data records in the plurality of data records from the database. The method also includes determining, with the processor, a ranked list of data records by ranking the list of data records using a machine learning-based ranking model, based on the descriptive string and the nutritional data of data records in the list of data records. The method then includes transmitting the ranked list of data records to an electronic device of a user of the health tracking system, the ranked list of data records being presented on the electronic device of the user.

Dependencies are inferred from the claim text.