Grubhub Holdings Inc.

Maria Belousova

Matthew Maloney

Arthi Murugesan

Robert Trevelyan Waite

Thomas Eugene Hayden, Iii

Patrick Gomes

Geopher Stephy Justin

Eric Farng

Justin Charles Bozonier

The disclosed technologies can compute predictive reorder scores and measures of the quality of food products and food providers using objectively verifiable data, including reorder data, and use these predictive quality measures to create new functionality in an information search and retrieval system and/or a product ordering system.

Configuring food-related information search and retrieval based on a predictive quality indicator

A restaurant service system includes a restaurant server adapted to communicate with diner communication devices and restaurant communication devices. The restaurant server builds a food taxonomy including dishes, dish attributes and dish ingredients. The dishes are mapped from menu items. The server also trains dish classifiers and applies the dish classifiers to map menu items to dishes. Dish attributes are derived from search logs and dish ingredients are extracted from menu item descriptions. The server determines the search intent of a diner based on her search terms. Food search is conducted based on the taxonomy and the search intent with consideration of restaurant similarity and dish popularity. The server also provides dish recommendations based on taste similarity between diners.

System and method for providing food taxonomy based food search and recommendation

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New York, NY, United States of America

Maria Belousova